Create app.py
Browse files
app.py
ADDED
|
@@ -0,0 +1,1855 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# -*- coding: utf-8 -*-
|
| 2 |
+
"""
|
| 3 |
+
AI λ΄μ€ & νκΉ
νμ΄μ€ νΈλ λ© LLM λΆμ μΉμ± (μμ ν v3.2)
|
| 4 |
+
νμΌλͺ
: app_advanced.py
|
| 5 |
+
|
| 6 |
+
μ£Όμ κΈ°λ₯:
|
| 7 |
+
1. SQLite DB μꡬ μ€ν 리μ§
|
| 8 |
+
2. AI Times μ€μκ° λ΄μ€ ν¬λ‘€λ§ (2κ° μΉμ
)
|
| 9 |
+
3. μ€μ Hugging Face Trending API μ°λ (λͺ¨λΈ/μ€νμ΄μ€ 30μ)
|
| 10 |
+
4. Fireworks AI (Qwen3-235B) μ€μκ° LLM λΆμ
|
| 11 |
+
- λ΄μ€ μ΄λ±νμ μμ€ λΆμ
|
| 12 |
+
- λͺ¨λΈ μΉ΄λ μλ λΆμ (README.md)
|
| 13 |
+
- μ€νμ΄μ€ μ½λ μλ λΆμ (app.py)
|
| 14 |
+
5. ν UI (λ΄μ€/λͺ¨λΈ/μ€νμ΄μ€)
|
| 15 |
+
|
| 16 |
+
μ€ν λ°©λ²:
|
| 17 |
+
1. pip install Flask requests beautifulsoup4 huggingface_hub
|
| 18 |
+
2. export FIREWORKS_API_KEY="your-api-key-here" # μ νμ¬ν (μμΌλ©΄ ν
νλ¦Ώ λͺ¨λ)
|
| 19 |
+
3. python app_advanced.py
|
| 20 |
+
4. λΈλΌμ°μ μμ http://localhost:7860 μ μ
|
| 21 |
+
|
| 22 |
+
νκ²½λ³μ:
|
| 23 |
+
- FIREWORKS_API_KEY: Fireworks AI API ν€ (μ ν, λ λμ λΆμ)
|
| 24 |
+
- PORT: μλ² ν¬νΈ (κΈ°λ³Έκ°: 7860)
|
| 25 |
+
"""
|
| 26 |
+
|
| 27 |
+
from flask import Flask, render_template_string, jsonify, request
|
| 28 |
+
import requests
|
| 29 |
+
import json
|
| 30 |
+
from datetime import datetime
|
| 31 |
+
from typing import List, Dict, Optional
|
| 32 |
+
import os
|
| 33 |
+
import sys
|
| 34 |
+
import sqlite3
|
| 35 |
+
import time
|
| 36 |
+
from huggingface_hub import HfApi
|
| 37 |
+
from bs4 import BeautifulSoup
|
| 38 |
+
|
| 39 |
+
# Flask μ± μ΄κΈ°ν
|
| 40 |
+
app = Flask(__name__)
|
| 41 |
+
app.config['JSON_AS_ASCII'] = False
|
| 42 |
+
|
| 43 |
+
# λ°μ΄ν°λ² μ΄μ€ νμΌ κ²½λ‘
|
| 44 |
+
DB_PATH = 'ai_news_analysis.db'
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
# ============================================
|
| 48 |
+
# HTML ν
νλ¦Ώ (ν UI ν¬ν¨)
|
| 49 |
+
# ============================================
|
| 50 |
+
|
| 51 |
+
HTML_TEMPLATE = """
|
| 52 |
+
<!DOCTYPE html>
|
| 53 |
+
<html lang="ko">
|
| 54 |
+
<head>
|
| 55 |
+
<meta charset="UTF-8">
|
| 56 |
+
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 57 |
+
<title>AI λ΄μ€ & νκΉ
νμ΄μ€ LLM λΆμ μμ€ν
</title>
|
| 58 |
+
<style>
|
| 59 |
+
* {
|
| 60 |
+
margin: 0;
|
| 61 |
+
padding: 0;
|
| 62 |
+
box-sizing: border-box;
|
| 63 |
+
}
|
| 64 |
+
|
| 65 |
+
body {
|
| 66 |
+
font-family: 'Segoe UI', 'Apple SD Gothic Neo', 'Malgun Gothic', sans-serif;
|
| 67 |
+
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
| 68 |
+
padding: 20px;
|
| 69 |
+
color: #333;
|
| 70 |
+
min-height: 100vh;
|
| 71 |
+
}
|
| 72 |
+
|
| 73 |
+
.container {
|
| 74 |
+
max-width: 1400px;
|
| 75 |
+
margin: 0 auto;
|
| 76 |
+
background: white;
|
| 77 |
+
border-radius: 20px;
|
| 78 |
+
padding: 40px;
|
| 79 |
+
box-shadow: 0 20px 60px rgba(0,0,0,0.3);
|
| 80 |
+
}
|
| 81 |
+
|
| 82 |
+
h1 {
|
| 83 |
+
text-align: center;
|
| 84 |
+
color: #667eea;
|
| 85 |
+
margin-bottom: 10px;
|
| 86 |
+
font-size: 2.8em;
|
| 87 |
+
font-weight: 800;
|
| 88 |
+
}
|
| 89 |
+
|
| 90 |
+
.subtitle {
|
| 91 |
+
text-align: center;
|
| 92 |
+
color: #666;
|
| 93 |
+
margin-bottom: 40px;
|
| 94 |
+
font-size: 1.2em;
|
| 95 |
+
}
|
| 96 |
+
|
| 97 |
+
/* ν μ€νμΌ */
|
| 98 |
+
.tabs {
|
| 99 |
+
display: flex;
|
| 100 |
+
gap: 15px;
|
| 101 |
+
margin-bottom: 30px;
|
| 102 |
+
border-bottom: 3px solid #e0e0e0;
|
| 103 |
+
padding-bottom: 0;
|
| 104 |
+
}
|
| 105 |
+
|
| 106 |
+
.tab {
|
| 107 |
+
padding: 15px 30px;
|
| 108 |
+
background: #f5f5f5;
|
| 109 |
+
border: none;
|
| 110 |
+
border-radius: 10px 10px 0 0;
|
| 111 |
+
cursor: pointer;
|
| 112 |
+
font-size: 1.1em;
|
| 113 |
+
font-weight: 600;
|
| 114 |
+
color: #666;
|
| 115 |
+
transition: all 0.3s;
|
| 116 |
+
}
|
| 117 |
+
|
| 118 |
+
.tab.active {
|
| 119 |
+
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
| 120 |
+
color: white;
|
| 121 |
+
transform: translateY(-3px);
|
| 122 |
+
box-shadow: 0 5px 15px rgba(102, 126, 234, 0.4);
|
| 123 |
+
}
|
| 124 |
+
|
| 125 |
+
.tab:hover {
|
| 126 |
+
background: #e0e0e0;
|
| 127 |
+
}
|
| 128 |
+
|
| 129 |
+
.tab.active:hover {
|
| 130 |
+
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
| 131 |
+
}
|
| 132 |
+
|
| 133 |
+
.tab-content {
|
| 134 |
+
display: none;
|
| 135 |
+
}
|
| 136 |
+
|
| 137 |
+
.tab-content.active {
|
| 138 |
+
display: block;
|
| 139 |
+
animation: fadeIn 0.5s ease-out;
|
| 140 |
+
}
|
| 141 |
+
|
| 142 |
+
/* ν΅κ³ μΉ΄λ */
|
| 143 |
+
.stats {
|
| 144 |
+
display: grid;
|
| 145 |
+
grid-template-columns: repeat(auto-fit, minmax(220px, 1fr));
|
| 146 |
+
gap: 25px;
|
| 147 |
+
margin-bottom: 50px;
|
| 148 |
+
}
|
| 149 |
+
|
| 150 |
+
.stat-card {
|
| 151 |
+
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
| 152 |
+
color: white;
|
| 153 |
+
padding: 30px;
|
| 154 |
+
border-radius: 15px;
|
| 155 |
+
text-align: center;
|
| 156 |
+
box-shadow: 0 8px 20px rgba(102, 126, 234, 0.4);
|
| 157 |
+
transform: translateY(0);
|
| 158 |
+
transition: transform 0.3s, box-shadow 0.3s;
|
| 159 |
+
}
|
| 160 |
+
|
| 161 |
+
.stat-card:hover {
|
| 162 |
+
transform: translateY(-5px);
|
| 163 |
+
box-shadow: 0 12px 30px rgba(102, 126, 234, 0.6);
|
| 164 |
+
}
|
| 165 |
+
|
| 166 |
+
.stat-number {
|
| 167 |
+
font-size: 3.5em;
|
| 168 |
+
font-weight: bold;
|
| 169 |
+
margin-bottom: 10px;
|
| 170 |
+
text-shadow: 2px 2px 4px rgba(0,0,0,0.2);
|
| 171 |
+
}
|
| 172 |
+
|
| 173 |
+
.stat-label {
|
| 174 |
+
font-size: 1.2em;
|
| 175 |
+
opacity: 0.95;
|
| 176 |
+
font-weight: 500;
|
| 177 |
+
}
|
| 178 |
+
|
| 179 |
+
/* λ΄μ€ μΉ΄λ (LLM λΆμ λ²μ ) */
|
| 180 |
+
.news-card {
|
| 181 |
+
background: white;
|
| 182 |
+
border-radius: 15px;
|
| 183 |
+
padding: 30px;
|
| 184 |
+
margin-bottom: 25px;
|
| 185 |
+
box-shadow: 0 5px 20px rgba(0,0,0,0.1);
|
| 186 |
+
border-left: 6px solid #667eea;
|
| 187 |
+
transition: all 0.3s;
|
| 188 |
+
}
|
| 189 |
+
|
| 190 |
+
.news-card:hover {
|
| 191 |
+
transform: translateX(10px);
|
| 192 |
+
box-shadow: 0 10px 30px rgba(0,0,0,0.15);
|
| 193 |
+
}
|
| 194 |
+
|
| 195 |
+
.news-header {
|
| 196 |
+
display: flex;
|
| 197 |
+
justify-content: space-between;
|
| 198 |
+
align-items: flex-start;
|
| 199 |
+
margin-bottom: 20px;
|
| 200 |
+
flex-wrap: wrap;
|
| 201 |
+
gap: 15px;
|
| 202 |
+
}
|
| 203 |
+
|
| 204 |
+
.news-title {
|
| 205 |
+
font-size: 1.4em;
|
| 206 |
+
font-weight: 700;
|
| 207 |
+
color: #2c3e50;
|
| 208 |
+
flex: 1;
|
| 209 |
+
min-width: 300px;
|
| 210 |
+
}
|
| 211 |
+
|
| 212 |
+
.news-meta {
|
| 213 |
+
display: flex;
|
| 214 |
+
gap: 15px;
|
| 215 |
+
color: #7f8c8d;
|
| 216 |
+
font-size: 0.9em;
|
| 217 |
+
}
|
| 218 |
+
|
| 219 |
+
.analysis-section {
|
| 220 |
+
background: #f8f9fa;
|
| 221 |
+
padding: 20px;
|
| 222 |
+
border-radius: 10px;
|
| 223 |
+
margin-top: 15px;
|
| 224 |
+
}
|
| 225 |
+
|
| 226 |
+
.analysis-item {
|
| 227 |
+
margin-bottom: 20px;
|
| 228 |
+
padding-bottom: 20px;
|
| 229 |
+
border-bottom: 1px solid #e0e0e0;
|
| 230 |
+
}
|
| 231 |
+
|
| 232 |
+
.analysis-item:last-child {
|
| 233 |
+
border-bottom: none;
|
| 234 |
+
margin-bottom: 0;
|
| 235 |
+
padding-bottom: 0;
|
| 236 |
+
}
|
| 237 |
+
|
| 238 |
+
.analysis-label {
|
| 239 |
+
display: inline-block;
|
| 240 |
+
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
| 241 |
+
color: white;
|
| 242 |
+
padding: 8px 15px;
|
| 243 |
+
border-radius: 20px;
|
| 244 |
+
font-size: 0.9em;
|
| 245 |
+
font-weight: 600;
|
| 246 |
+
margin-bottom: 10px;
|
| 247 |
+
}
|
| 248 |
+
|
| 249 |
+
.analysis-content {
|
| 250 |
+
color: #34495e;
|
| 251 |
+
line-height: 1.8;
|
| 252 |
+
font-size: 1.05em;
|
| 253 |
+
}
|
| 254 |
+
|
| 255 |
+
.impact-level {
|
| 256 |
+
display: inline-block;
|
| 257 |
+
padding: 5px 12px;
|
| 258 |
+
border-radius: 15px;
|
| 259 |
+
font-size: 0.85em;
|
| 260 |
+
font-weight: 600;
|
| 261 |
+
margin-left: 10px;
|
| 262 |
+
}
|
| 263 |
+
|
| 264 |
+
.impact-high {
|
| 265 |
+
background: #ff6b6b;
|
| 266 |
+
color: white;
|
| 267 |
+
}
|
| 268 |
+
|
| 269 |
+
.impact-medium {
|
| 270 |
+
background: #ffa502;
|
| 271 |
+
color: white;
|
| 272 |
+
}
|
| 273 |
+
|
| 274 |
+
.impact-low {
|
| 275 |
+
background: #26de81;
|
| 276 |
+
color: white;
|
| 277 |
+
}
|
| 278 |
+
|
| 279 |
+
/* λͺ¨λΈ μΉ΄λ */
|
| 280 |
+
.model-grid {
|
| 281 |
+
display: grid;
|
| 282 |
+
grid-template-columns: repeat(auto-fill, minmax(350px, 1fr));
|
| 283 |
+
gap: 25px;
|
| 284 |
+
margin-top: 30px;
|
| 285 |
+
}
|
| 286 |
+
|
| 287 |
+
.model-card {
|
| 288 |
+
background: white;
|
| 289 |
+
padding: 25px;
|
| 290 |
+
border-radius: 12px;
|
| 291 |
+
box-shadow: 0 5px 15px rgba(0,0,0,0.1);
|
| 292 |
+
transition: all 0.3s;
|
| 293 |
+
border-top: 4px solid #667eea;
|
| 294 |
+
position: relative;
|
| 295 |
+
}
|
| 296 |
+
|
| 297 |
+
.model-card:hover {
|
| 298 |
+
transform: translateY(-5px);
|
| 299 |
+
box-shadow: 0 10px 25px rgba(102, 126, 234, 0.3);
|
| 300 |
+
}
|
| 301 |
+
|
| 302 |
+
.model-rank {
|
| 303 |
+
position: absolute;
|
| 304 |
+
top: -15px;
|
| 305 |
+
right: 20px;
|
| 306 |
+
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
| 307 |
+
color: white;
|
| 308 |
+
width: 50px;
|
| 309 |
+
height: 50px;
|
| 310 |
+
border-radius: 50%;
|
| 311 |
+
display: flex;
|
| 312 |
+
align-items: center;
|
| 313 |
+
justify-content: center;
|
| 314 |
+
font-weight: 700;
|
| 315 |
+
font-size: 1.2em;
|
| 316 |
+
box-shadow: 0 5px 15px rgba(102, 126, 234, 0.4);
|
| 317 |
+
}
|
| 318 |
+
|
| 319 |
+
.model-name {
|
| 320 |
+
font-weight: 700;
|
| 321 |
+
color: #667eea;
|
| 322 |
+
margin-bottom: 15px;
|
| 323 |
+
font-size: 1.15em;
|
| 324 |
+
word-break: break-word;
|
| 325 |
+
padding-right: 60px;
|
| 326 |
+
}
|
| 327 |
+
|
| 328 |
+
.model-stats {
|
| 329 |
+
display: grid;
|
| 330 |
+
grid-template-columns: repeat(2, 1fr);
|
| 331 |
+
gap: 10px;
|
| 332 |
+
margin: 15px 0;
|
| 333 |
+
padding: 15px;
|
| 334 |
+
background: #f8f9fa;
|
| 335 |
+
border-radius: 8px;
|
| 336 |
+
}
|
| 337 |
+
|
| 338 |
+
.model-stat-item {
|
| 339 |
+
font-size: 0.9em;
|
| 340 |
+
}
|
| 341 |
+
|
| 342 |
+
.model-task {
|
| 343 |
+
background: #e8f0fe;
|
| 344 |
+
color: #667eea;
|
| 345 |
+
padding: 6px 12px;
|
| 346 |
+
border-radius: 20px;
|
| 347 |
+
font-size: 0.85em;
|
| 348 |
+
display: inline-block;
|
| 349 |
+
margin-bottom: 15px;
|
| 350 |
+
font-weight: 600;
|
| 351 |
+
}
|
| 352 |
+
|
| 353 |
+
.model-analysis {
|
| 354 |
+
background: #f0f4ff;
|
| 355 |
+
padding: 15px;
|
| 356 |
+
border-radius: 8px;
|
| 357 |
+
margin-top: 15px;
|
| 358 |
+
color: #34495e;
|
| 359 |
+
line-height: 1.7;
|
| 360 |
+
font-size: 0.95em;
|
| 361 |
+
}
|
| 362 |
+
|
| 363 |
+
/* μ€νμ΄μ€ μΉ΄λ */
|
| 364 |
+
.space-card {
|
| 365 |
+
background: white;
|
| 366 |
+
padding: 25px;
|
| 367 |
+
border-radius: 12px;
|
| 368 |
+
box-shadow: 0 5px 15px rgba(0,0,0,0.1);
|
| 369 |
+
margin-bottom: 20px;
|
| 370 |
+
border-left: 5px solid #ff6b6b;
|
| 371 |
+
transition: all 0.3s;
|
| 372 |
+
}
|
| 373 |
+
|
| 374 |
+
.space-card:hover {
|
| 375 |
+
transform: translateX(10px);
|
| 376 |
+
box-shadow: 0 10px 25px rgba(255, 107, 107, 0.3);
|
| 377 |
+
}
|
| 378 |
+
|
| 379 |
+
.space-header {
|
| 380 |
+
display: flex;
|
| 381 |
+
justify-content: space-between;
|
| 382 |
+
align-items: flex-start;
|
| 383 |
+
margin-bottom: 15px;
|
| 384 |
+
}
|
| 385 |
+
|
| 386 |
+
.space-name {
|
| 387 |
+
font-weight: 700;
|
| 388 |
+
color: #ff6b6b;
|
| 389 |
+
font-size: 1.3em;
|
| 390 |
+
}
|
| 391 |
+
|
| 392 |
+
.space-badge {
|
| 393 |
+
background: #ff6b6b;
|
| 394 |
+
color: white;
|
| 395 |
+
padding: 5px 12px;
|
| 396 |
+
border-radius: 15px;
|
| 397 |
+
font-size: 0.8em;
|
| 398 |
+
font-weight: 600;
|
| 399 |
+
}
|
| 400 |
+
|
| 401 |
+
.space-description {
|
| 402 |
+
color: #555;
|
| 403 |
+
margin-bottom: 15px;
|
| 404 |
+
line-height: 1.6;
|
| 405 |
+
}
|
| 406 |
+
|
| 407 |
+
.space-analysis {
|
| 408 |
+
background: #fff5f5;
|
| 409 |
+
padding: 15px;
|
| 410 |
+
border-radius: 8px;
|
| 411 |
+
margin-top: 15px;
|
| 412 |
+
}
|
| 413 |
+
|
| 414 |
+
.space-tech {
|
| 415 |
+
display: flex;
|
| 416 |
+
flex-wrap: wrap;
|
| 417 |
+
gap: 8px;
|
| 418 |
+
margin-top: 15px;
|
| 419 |
+
}
|
| 420 |
+
|
| 421 |
+
.tech-tag {
|
| 422 |
+
background: #ffe5e5;
|
| 423 |
+
color: #ff6b6b;
|
| 424 |
+
padding: 5px 10px;
|
| 425 |
+
border-radius: 12px;
|
| 426 |
+
font-size: 0.8em;
|
| 427 |
+
font-weight: 600;
|
| 428 |
+
}
|
| 429 |
+
|
| 430 |
+
/* λ²νΌ */
|
| 431 |
+
.button-group {
|
| 432 |
+
text-align: center;
|
| 433 |
+
margin: 40px 0;
|
| 434 |
+
display: flex;
|
| 435 |
+
justify-content: center;
|
| 436 |
+
gap: 15px;
|
| 437 |
+
flex-wrap: wrap;
|
| 438 |
+
}
|
| 439 |
+
|
| 440 |
+
.refresh-btn {
|
| 441 |
+
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
| 442 |
+
color: white;
|
| 443 |
+
border: none;
|
| 444 |
+
padding: 18px 50px;
|
| 445 |
+
font-size: 1.2em;
|
| 446 |
+
font-weight: 700;
|
| 447 |
+
border-radius: 50px;
|
| 448 |
+
cursor: pointer;
|
| 449 |
+
box-shadow: 0 8px 20px rgba(102, 126, 234, 0.4);
|
| 450 |
+
transition: all 0.3s;
|
| 451 |
+
}
|
| 452 |
+
|
| 453 |
+
.refresh-btn:hover {
|
| 454 |
+
transform: scale(1.08);
|
| 455 |
+
box-shadow: 0 12px 30px rgba(102, 126, 234, 0.6);
|
| 456 |
+
}
|
| 457 |
+
|
| 458 |
+
.news-link {
|
| 459 |
+
display: inline-block;
|
| 460 |
+
background: #667eea;
|
| 461 |
+
color: white;
|
| 462 |
+
padding: 10px 20px;
|
| 463 |
+
border-radius: 8px;
|
| 464 |
+
text-decoration: none;
|
| 465 |
+
font-size: 0.95em;
|
| 466 |
+
font-weight: 600;
|
| 467 |
+
transition: all 0.3s;
|
| 468 |
+
margin-top: 15px;
|
| 469 |
+
}
|
| 470 |
+
|
| 471 |
+
.news-link:hover {
|
| 472 |
+
background: #764ba2;
|
| 473 |
+
transform: scale(1.05);
|
| 474 |
+
}
|
| 475 |
+
|
| 476 |
+
.loading {
|
| 477 |
+
text-align: center;
|
| 478 |
+
padding: 60px;
|
| 479 |
+
font-size: 1.8em;
|
| 480 |
+
color: #667eea;
|
| 481 |
+
font-weight: 600;
|
| 482 |
+
}
|
| 483 |
+
|
| 484 |
+
.timestamp {
|
| 485 |
+
text-align: center;
|
| 486 |
+
color: #999;
|
| 487 |
+
margin-top: 40px;
|
| 488 |
+
font-size: 1em;
|
| 489 |
+
padding: 20px;
|
| 490 |
+
background: #f8f9fa;
|
| 491 |
+
border-radius: 10px;
|
| 492 |
+
}
|
| 493 |
+
|
| 494 |
+
.footer {
|
| 495 |
+
text-align: center;
|
| 496 |
+
margin-top: 50px;
|
| 497 |
+
padding-top: 30px;
|
| 498 |
+
border-top: 2px solid #e0e0e0;
|
| 499 |
+
color: #666;
|
| 500 |
+
}
|
| 501 |
+
|
| 502 |
+
@keyframes fadeIn {
|
| 503 |
+
from {
|
| 504 |
+
opacity: 0;
|
| 505 |
+
transform: translateY(20px);
|
| 506 |
+
}
|
| 507 |
+
to {
|
| 508 |
+
opacity: 1;
|
| 509 |
+
transform: translateY(0);
|
| 510 |
+
}
|
| 511 |
+
}
|
| 512 |
+
|
| 513 |
+
@media (max-width: 768px) {
|
| 514 |
+
.container {
|
| 515 |
+
padding: 20px;
|
| 516 |
+
}
|
| 517 |
+
|
| 518 |
+
h1 {
|
| 519 |
+
font-size: 2em;
|
| 520 |
+
}
|
| 521 |
+
|
| 522 |
+
.tabs {
|
| 523 |
+
flex-direction: column;
|
| 524 |
+
}
|
| 525 |
+
|
| 526 |
+
.tab {
|
| 527 |
+
width: 100%;
|
| 528 |
+
}
|
| 529 |
+
|
| 530 |
+
.model-grid {
|
| 531 |
+
grid-template-columns: 1fr;
|
| 532 |
+
}
|
| 533 |
+
|
| 534 |
+
.button-group {
|
| 535 |
+
flex-direction: column;
|
| 536 |
+
}
|
| 537 |
+
|
| 538 |
+
.refresh-btn {
|
| 539 |
+
width: 100%;
|
| 540 |
+
}
|
| 541 |
+
}
|
| 542 |
+
</style>
|
| 543 |
+
</head>
|
| 544 |
+
<body>
|
| 545 |
+
<div class="container">
|
| 546 |
+
<h1>π€ AI λ΄μ€ & νκΉ
νμ΄μ€ LLM λΆμ</h1>
|
| 547 |
+
<p class="subtitle">μ΄λ±νμλ μ΄ν΄νλ AI νΈλ λ λΆμ μμ€ν
π</p>
|
| 548 |
+
|
| 549 |
+
<!-- ν΅κ³ μΉ΄λ -->
|
| 550 |
+
<div class="stats">
|
| 551 |
+
<div class="stat-card">
|
| 552 |
+
<div class="stat-number">{{ stats.total_news }}</div>
|
| 553 |
+
<div class="stat-label">π° λΆμλ λ΄μ€</div>
|
| 554 |
+
</div>
|
| 555 |
+
<div class="stat-card">
|
| 556 |
+
<div class="stat-number">{{ stats.hf_models }}</div>
|
| 557 |
+
<div class="stat-label">π€ νΈλ λ© λͺ¨λΈ</div>
|
| 558 |
+
</div>
|
| 559 |
+
<div class="stat-card">
|
| 560 |
+
<div class="stat-number">{{ stats.hf_spaces }}</div>
|
| 561 |
+
<div class="stat-label">π μΈκΈ° μ€νμ΄μ€</div>
|
| 562 |
+
</div>
|
| 563 |
+
<div class="stat-card">
|
| 564 |
+
<div class="stat-number">{{ stats.llm_analyses }}</div>
|
| 565 |
+
<div class="stat-label">π§ LLM λΆμ</div>
|
| 566 |
+
</div>
|
| 567 |
+
</div>
|
| 568 |
+
|
| 569 |
+
<!-- ν λ©λ΄ -->
|
| 570 |
+
<div class="tabs">
|
| 571 |
+
<button class="tab active" onclick="switchTab('news')">π° AI λ΄μ€ λΆμ</button>
|
| 572 |
+
<button class="tab" onclick="switchTab('models')">π€ νΈλ λ© λͺ¨λΈ</button>
|
| 573 |
+
<button class="tab" onclick="switchTab('spaces')">π μΈκΈ° μ€νμ΄μ€</button>
|
| 574 |
+
</div>
|
| 575 |
+
|
| 576 |
+
<!-- λ΄μ€ ν -->
|
| 577 |
+
<div id="news-content" class="tab-content active">
|
| 578 |
+
{% for article in analyzed_news %}
|
| 579 |
+
<div class="news-card">
|
| 580 |
+
<div class="news-header">
|
| 581 |
+
<div class="news-title">{{ loop.index }}. {{ article.title }}</div>
|
| 582 |
+
<div class="news-meta">
|
| 583 |
+
<span>π
{{ article.date }}</span>
|
| 584 |
+
<span>π° {{ article.source }}</span>
|
| 585 |
+
</div>
|
| 586 |
+
</div>
|
| 587 |
+
|
| 588 |
+
<div class="analysis-section">
|
| 589 |
+
<div class="analysis-item">
|
| 590 |
+
<span class="analysis-label">π― μ¬μ΄ μμ½</span>
|
| 591 |
+
<div class="analysis-content">{{ article.analysis.summary }}</div>
|
| 592 |
+
</div>
|
| 593 |
+
|
| 594 |
+
<div class="analysis-item">
|
| 595 |
+
<span class="analysis-label">π‘ μ μ€μν κΉ?</span>
|
| 596 |
+
<div class="analysis-content">{{ article.analysis.significance }}</div>
|
| 597 |
+
</div>
|
| 598 |
+
|
| 599 |
+
<div class="analysis-item">
|
| 600 |
+
<span class="analysis-label">π μν₯λ</span>
|
| 601 |
+
<span class="impact-level impact-{{ article.analysis.impact_level }}">
|
| 602 |
+
{{ article.analysis.impact_text }}
|
| 603 |
+
</span>
|
| 604 |
+
<div class="analysis-content" style="margin-top: 10px;">
|
| 605 |
+
{{ article.analysis.impact_description }}
|
| 606 |
+
</div>
|
| 607 |
+
</div>
|
| 608 |
+
|
| 609 |
+
<div class="analysis-item">
|
| 610 |
+
<span class="analysis-label">β
μ°λ¦¬κ° ν μ μλ κ²</span>
|
| 611 |
+
<div class="analysis-content">{{ article.analysis.action }}</div>
|
| 612 |
+
</div>
|
| 613 |
+
</div>
|
| 614 |
+
|
| 615 |
+
<a href="{{ article.url }}" target="_blank" class="news-link">
|
| 616 |
+
π μ 체 κΈ°μ¬ μ½μ΄λ³΄κΈ°
|
| 617 |
+
</a>
|
| 618 |
+
</div>
|
| 619 |
+
{% endfor %}
|
| 620 |
+
</div>
|
| 621 |
+
|
| 622 |
+
<!-- λͺ¨λΈ ν -->
|
| 623 |
+
<div id="models-content" class="tab-content">
|
| 624 |
+
<div class="model-grid">
|
| 625 |
+
{% for model in analyzed_models %}
|
| 626 |
+
<div class="model-card">
|
| 627 |
+
<div class="model-rank">{{ model.rank }}</div>
|
| 628 |
+
<div class="model-name">{{ model.name }}</div>
|
| 629 |
+
<div class="model-task">π·οΈ {{ model.task }}</div>
|
| 630 |
+
|
| 631 |
+
<div class="model-stats">
|
| 632 |
+
<div class="model-stat-item">
|
| 633 |
+
<strong>π₯ λ€μ΄λ‘λ</strong><br>
|
| 634 |
+
{{ "{:,}".format(model.downloads) }}
|
| 635 |
+
</div>
|
| 636 |
+
<div class="model-stat-item">
|
| 637 |
+
<strong>β€οΈ μ’μμ</strong><br>
|
| 638 |
+
{{ "{:,}".format(model.likes) }}
|
| 639 |
+
</div>
|
| 640 |
+
</div>
|
| 641 |
+
|
| 642 |
+
<div class="model-analysis">
|
| 643 |
+
<strong>π§ AI λΆμ:</strong><br>
|
| 644 |
+
{{ model.analysis }}
|
| 645 |
+
</div>
|
| 646 |
+
|
| 647 |
+
<a href="{{ model.url }}" target="_blank" class="news-link">
|
| 648 |
+
π λͺ¨λΈ νμ΄μ§ λ°©λ¬Έ
|
| 649 |
+
</a>
|
| 650 |
+
</div>
|
| 651 |
+
{% endfor %}
|
| 652 |
+
</div>
|
| 653 |
+
|
| 654 |
+
{% if analyzed_models|length == 0 %}
|
| 655 |
+
<div class="loading">
|
| 656 |
+
β οΈ λͺ¨λΈ λ°μ΄ν°λ₯Ό λΆλ¬μ€λ μ€...<br>
|
| 657 |
+
<button onclick="location.href='/?refresh=true'" style="margin-top: 20px; padding: 15px 30px; font-size: 1.1em; cursor: pointer; background: #667eea; color: white; border: none; border-radius: 25px;">
|
| 658 |
+
π₯ λ°μ΄ν° μμ§νκΈ°
|
| 659 |
+
</button>
|
| 660 |
+
</div>
|
| 661 |
+
{% endif %}
|
| 662 |
+
</div>
|
| 663 |
+
|
| 664 |
+
<!-- μ€νμ΄μ€ ν -->
|
| 665 |
+
<div id="spaces-content" class="tab-content">
|
| 666 |
+
{% for space in analyzed_spaces %}
|
| 667 |
+
<div class="space-card">
|
| 668 |
+
<div class="space-header">
|
| 669 |
+
<div class="space-name">{{ space.rank }}. {{ space.name }}</div>
|
| 670 |
+
<span class="space-badge">νΈλ λ© {{ space.rank }}μ</span>
|
| 671 |
+
</div>
|
| 672 |
+
|
| 673 |
+
<div class="space-description">
|
| 674 |
+
<strong>π μ€λͺ
:</strong> {{ space.description }}
|
| 675 |
+
</div>
|
| 676 |
+
|
| 677 |
+
<div class="space-analysis">
|
| 678 |
+
<strong>π μ΄λ±νμ μ€λͺ
:</strong><br>
|
| 679 |
+
{{ space.simple_explanation }}
|
| 680 |
+
</div>
|
| 681 |
+
|
| 682 |
+
{% if space.tech_stack %}
|
| 683 |
+
<div class="space-tech">
|
| 684 |
+
<strong style="width: 100%; margin-bottom: 5px;">π οΈ μ¬μ© κΈ°μ :</strong>
|
| 685 |
+
{% for tech in space.tech_stack %}
|
| 686 |
+
<span class="tech-tag">{{ tech }}</span>
|
| 687 |
+
{% endfor %}
|
| 688 |
+
</div>
|
| 689 |
+
{% endif %}
|
| 690 |
+
|
| 691 |
+
<a href="{{ space.url }}" target="_blank" class="news-link">
|
| 692 |
+
π μ€νμ΄μ€ 체ννκΈ°
|
| 693 |
+
</a>
|
| 694 |
+
</div>
|
| 695 |
+
{% endfor %}
|
| 696 |
+
|
| 697 |
+
{% if analyzed_spaces|length == 0 %}
|
| 698 |
+
<div class="loading">
|
| 699 |
+
β οΈ μ€νμ΄μ€ λ°μ΄ν°λ₯Ό λΆλ¬μ€λ μ€...<br>
|
| 700 |
+
<button onclick="location.href='/?refresh=true'" style="margin-top: 20px; padding: 15px 30px; font-size: 1.1em; cursor: pointer; background: #ff6b6b; color: white; border: none; border-radius: 25px;">
|
| 701 |
+
π₯ λ°μ΄ν° μμ§νκΈ°
|
| 702 |
+
</button>
|
| 703 |
+
</div>
|
| 704 |
+
{% endif %}
|
| 705 |
+
</div>
|
| 706 |
+
|
| 707 |
+
<!-- λ²νΌ κ·Έλ£Ή -->
|
| 708 |
+
<div class="button-group">
|
| 709 |
+
<button class="refresh-btn" onclick="location.reload()">
|
| 710 |
+
π νμ΄μ§ μλ‘κ³ μΉ¨
|
| 711 |
+
</button>
|
| 712 |
+
<button class="refresh-btn" onclick="location.href='/?refresh=true'" style="background: linear-gradient(135deg, #ff6b6b 0%, #ee5a6f 100%);">
|
| 713 |
+
π₯ λ°μ΄ν° κ°μ κ°±μ
|
| 714 |
+
</button>
|
| 715 |
+
</div>
|
| 716 |
+
|
| 717 |
+
<!-- νμμ€ν¬ν -->
|
| 718 |
+
<div class="timestamp">
|
| 719 |
+
β° λ§μ§λ§ μ
λ°μ΄νΈ: {{ timestamp }}
|
| 720 |
+
</div>
|
| 721 |
+
|
| 722 |
+
<!-- νΈν° -->
|
| 723 |
+
<div class="footer">
|
| 724 |
+
<p>π€ AI λ΄μ€ LLM λΆμ μμ€ν
v3.2</p>
|
| 725 |
+
<p style="margin-top: 10px; font-size: 0.9em;">
|
| 726 |
+
πΎ SQLite DB μꡬ μ μ₯ | π AI Times μ€μκ° ν¬λ‘€λ§ | π€ Hugging Face Trending API | π§ Powered by Fireworks AI (Qwen3-235B)
|
| 727 |
+
</p>
|
| 728 |
+
<p style="margin-top: 10px; font-size: 0.85em; color: #999;">
|
| 729 |
+
λ°μ΄ν° μΆμ²: AI Times (μ€μκ° ν¬λ‘€λ§), Hugging Face | μ€μκ° λΆμ: Fireworks AI
|
| 730 |
+
</p>
|
| 731 |
+
</div>
|
| 732 |
+
</div>
|
| 733 |
+
|
| 734 |
+
<script>
|
| 735 |
+
function switchTab(tabName) {
|
| 736 |
+
// λͺ¨λ ν λΉνμ±ν
|
| 737 |
+
document.querySelectorAll('.tab').forEach(tab => {
|
| 738 |
+
tab.classList.remove('active');
|
| 739 |
+
});
|
| 740 |
+
document.querySelectorAll('.tab-content').forEach(content => {
|
| 741 |
+
content.classList.remove('active');
|
| 742 |
+
});
|
| 743 |
+
|
| 744 |
+
// μ νλ ν νμ±ν
|
| 745 |
+
event.target.classList.add('active');
|
| 746 |
+
document.getElementById(tabName + '-content').classList.add('active');
|
| 747 |
+
}
|
| 748 |
+
|
| 749 |
+
console.log('β
AI λ΄μ€ LLM λΆμ μμ€ν
λ‘λ μλ£');
|
| 750 |
+
</script>
|
| 751 |
+
</body>
|
| 752 |
+
</html>
|
| 753 |
+
"""
|
| 754 |
+
|
| 755 |
+
|
| 756 |
+
# ============================================
|
| 757 |
+
# λ°μ΄ν°λ² μ΄μ€ μ΄κΈ°ν
|
| 758 |
+
# ============================================
|
| 759 |
+
|
| 760 |
+
def init_database():
|
| 761 |
+
"""SQLite λ°μ΄ν°λ² μ΄μ€ μ΄κΈ°ν"""
|
| 762 |
+
conn = sqlite3.connect(DB_PATH)
|
| 763 |
+
cursor = conn.cursor()
|
| 764 |
+
|
| 765 |
+
# λ΄μ€ ν
μ΄λΈ
|
| 766 |
+
cursor.execute('''
|
| 767 |
+
CREATE TABLE IF NOT EXISTS news (
|
| 768 |
+
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
| 769 |
+
title TEXT NOT NULL,
|
| 770 |
+
url TEXT NOT NULL UNIQUE,
|
| 771 |
+
date TEXT,
|
| 772 |
+
source TEXT,
|
| 773 |
+
category TEXT,
|
| 774 |
+
summary TEXT,
|
| 775 |
+
significance TEXT,
|
| 776 |
+
impact_level TEXT,
|
| 777 |
+
impact_text TEXT,
|
| 778 |
+
impact_description TEXT,
|
| 779 |
+
action TEXT,
|
| 780 |
+
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
|
| 781 |
+
)
|
| 782 |
+
''')
|
| 783 |
+
|
| 784 |
+
# λͺ¨λΈ ν
μ΄λΈ
|
| 785 |
+
cursor.execute('''
|
| 786 |
+
CREATE TABLE IF NOT EXISTS models (
|
| 787 |
+
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
| 788 |
+
name TEXT NOT NULL UNIQUE,
|
| 789 |
+
downloads INTEGER,
|
| 790 |
+
likes INTEGER,
|
| 791 |
+
task TEXT,
|
| 792 |
+
url TEXT,
|
| 793 |
+
analysis TEXT,
|
| 794 |
+
rank INTEGER,
|
| 795 |
+
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
| 796 |
+
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
|
| 797 |
+
)
|
| 798 |
+
''')
|
| 799 |
+
|
| 800 |
+
# οΏ½οΏ½οΏ½νμ΄μ€ ν
μ΄λΈ
|
| 801 |
+
cursor.execute('''
|
| 802 |
+
CREATE TABLE IF NOT EXISTS spaces (
|
| 803 |
+
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
| 804 |
+
space_id TEXT NOT NULL UNIQUE,
|
| 805 |
+
name TEXT NOT NULL,
|
| 806 |
+
author TEXT,
|
| 807 |
+
title TEXT,
|
| 808 |
+
likes INTEGER,
|
| 809 |
+
url TEXT,
|
| 810 |
+
sdk TEXT,
|
| 811 |
+
simple_explanation TEXT,
|
| 812 |
+
tech_stack TEXT,
|
| 813 |
+
rank INTEGER,
|
| 814 |
+
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
| 815 |
+
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
|
| 816 |
+
)
|
| 817 |
+
''')
|
| 818 |
+
|
| 819 |
+
conn.commit()
|
| 820 |
+
conn.close()
|
| 821 |
+
print("β
λ°μ΄ν°λ² μ΄μ€ μ΄κΈ°ν μλ£")
|
| 822 |
+
|
| 823 |
+
|
| 824 |
+
def save_news_to_db(news_list: List[Dict]):
|
| 825 |
+
"""λ΄μ€ λ°μ΄ν°λ₯Ό DBμ μ μ₯"""
|
| 826 |
+
conn = sqlite3.connect(DB_PATH)
|
| 827 |
+
cursor = conn.cursor()
|
| 828 |
+
|
| 829 |
+
saved_count = 0
|
| 830 |
+
for news in news_list:
|
| 831 |
+
try:
|
| 832 |
+
cursor.execute('''
|
| 833 |
+
INSERT OR REPLACE INTO news
|
| 834 |
+
(title, url, date, source, category, summary, significance,
|
| 835 |
+
impact_level, impact_text, impact_description, action)
|
| 836 |
+
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
|
| 837 |
+
''', (
|
| 838 |
+
news['title'],
|
| 839 |
+
news['url'],
|
| 840 |
+
news.get('date', ''),
|
| 841 |
+
news.get('source', ''),
|
| 842 |
+
news.get('category', ''),
|
| 843 |
+
news['analysis']['summary'],
|
| 844 |
+
news['analysis']['significance'],
|
| 845 |
+
news['analysis']['impact_level'],
|
| 846 |
+
news['analysis']['impact_text'],
|
| 847 |
+
news['analysis']['impact_description'],
|
| 848 |
+
news['analysis']['action']
|
| 849 |
+
))
|
| 850 |
+
saved_count += 1
|
| 851 |
+
except sqlite3.IntegrityError:
|
| 852 |
+
pass # μ΄λ―Έ μ‘΄μ¬νλ λ΄μ€
|
| 853 |
+
|
| 854 |
+
conn.commit()
|
| 855 |
+
conn.close()
|
| 856 |
+
print(f"β
{saved_count}κ° λ΄μ€ DB μ μ₯ μλ£")
|
| 857 |
+
|
| 858 |
+
|
| 859 |
+
def save_models_to_db(models_list: List[Dict]):
|
| 860 |
+
"""λͺ¨λΈ λ°μ΄ν°λ₯Ό DBμ μ μ₯"""
|
| 861 |
+
conn = sqlite3.connect(DB_PATH)
|
| 862 |
+
cursor = conn.cursor()
|
| 863 |
+
|
| 864 |
+
saved_count = 0
|
| 865 |
+
for model in models_list:
|
| 866 |
+
try:
|
| 867 |
+
cursor.execute('''
|
| 868 |
+
INSERT OR REPLACE INTO models
|
| 869 |
+
(name, downloads, likes, task, url, analysis, rank, updated_at)
|
| 870 |
+
VALUES (?, ?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP)
|
| 871 |
+
''', (
|
| 872 |
+
model['name'],
|
| 873 |
+
model['downloads'],
|
| 874 |
+
model['likes'],
|
| 875 |
+
model['task'],
|
| 876 |
+
model['url'],
|
| 877 |
+
model['analysis'],
|
| 878 |
+
model['rank']
|
| 879 |
+
))
|
| 880 |
+
saved_count += 1
|
| 881 |
+
except Exception as e:
|
| 882 |
+
print(f"β οΈ λͺ¨λΈ μ μ₯ μ€λ₯: {e}")
|
| 883 |
+
|
| 884 |
+
conn.commit()
|
| 885 |
+
conn.close()
|
| 886 |
+
print(f"β
{saved_count}κ° λͺ¨λΈ DB μ μ₯ μλ£")
|
| 887 |
+
|
| 888 |
+
|
| 889 |
+
def save_spaces_to_db(spaces_list: List[Dict]):
|
| 890 |
+
"""μ€νμ΄μ€ λ°μ΄ν°λ₯Ό DBμ μ μ₯"""
|
| 891 |
+
conn = sqlite3.connect(DB_PATH)
|
| 892 |
+
cursor = conn.cursor()
|
| 893 |
+
|
| 894 |
+
saved_count = 0
|
| 895 |
+
for space in spaces_list:
|
| 896 |
+
try:
|
| 897 |
+
cursor.execute('''
|
| 898 |
+
INSERT OR REPLACE INTO spaces
|
| 899 |
+
(space_id, name, author, title, likes, url, sdk,
|
| 900 |
+
simple_explanation, tech_stack, rank, updated_at)
|
| 901 |
+
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP)
|
| 902 |
+
''', (
|
| 903 |
+
space['space_id'],
|
| 904 |
+
space['name'],
|
| 905 |
+
space.get('author', ''),
|
| 906 |
+
space.get('title', ''),
|
| 907 |
+
space.get('likes', 0),
|
| 908 |
+
space['url'],
|
| 909 |
+
space.get('sdk', ''),
|
| 910 |
+
space['simple_explanation'],
|
| 911 |
+
json.dumps(space.get('tech_stack', [])),
|
| 912 |
+
space['rank']
|
| 913 |
+
))
|
| 914 |
+
saved_count += 1
|
| 915 |
+
except Exception as e:
|
| 916 |
+
print(f"β οΈ μ€νμ΄μ€ μ μ₯ μ€λ₯: {e}")
|
| 917 |
+
|
| 918 |
+
conn.commit()
|
| 919 |
+
conn.close()
|
| 920 |
+
print(f"β
{saved_count}κ° μ€νμ΄μ€ DB μ μ₯ μλ£")
|
| 921 |
+
|
| 922 |
+
|
| 923 |
+
def load_news_from_db() -> List[Dict]:
|
| 924 |
+
"""DBμμ λ΄μ€ λ‘λ"""
|
| 925 |
+
conn = sqlite3.connect(DB_PATH)
|
| 926 |
+
cursor = conn.cursor()
|
| 927 |
+
|
| 928 |
+
cursor.execute('''
|
| 929 |
+
SELECT title, url, date, source, category, summary, significance,
|
| 930 |
+
impact_level, impact_text, impact_description, action
|
| 931 |
+
FROM news ORDER BY created_at DESC LIMIT 50
|
| 932 |
+
''')
|
| 933 |
+
|
| 934 |
+
news_list = []
|
| 935 |
+
for row in cursor.fetchall():
|
| 936 |
+
news_list.append({
|
| 937 |
+
'title': row[0],
|
| 938 |
+
'url': row[1],
|
| 939 |
+
'date': row[2],
|
| 940 |
+
'source': row[3],
|
| 941 |
+
'category': row[4],
|
| 942 |
+
'analysis': {
|
| 943 |
+
'summary': row[5],
|
| 944 |
+
'significance': row[6],
|
| 945 |
+
'impact_level': row[7],
|
| 946 |
+
'impact_text': row[8],
|
| 947 |
+
'impact_description': row[9],
|
| 948 |
+
'action': row[10]
|
| 949 |
+
}
|
| 950 |
+
})
|
| 951 |
+
|
| 952 |
+
conn.close()
|
| 953 |
+
return news_list
|
| 954 |
+
|
| 955 |
+
|
| 956 |
+
def load_models_from_db() -> List[Dict]:
|
| 957 |
+
"""DBμμ λͺ¨λΈ λ‘λ"""
|
| 958 |
+
conn = sqlite3.connect(DB_PATH)
|
| 959 |
+
cursor = conn.cursor()
|
| 960 |
+
|
| 961 |
+
cursor.execute('''
|
| 962 |
+
SELECT name, downloads, likes, task, url, analysis, rank
|
| 963 |
+
FROM models ORDER BY rank ASC LIMIT 30
|
| 964 |
+
''')
|
| 965 |
+
|
| 966 |
+
models_list = []
|
| 967 |
+
for row in cursor.fetchall():
|
| 968 |
+
models_list.append({
|
| 969 |
+
'name': row[0],
|
| 970 |
+
'downloads': row[1],
|
| 971 |
+
'likes': row[2],
|
| 972 |
+
'task': row[3],
|
| 973 |
+
'url': row[4],
|
| 974 |
+
'analysis': row[5],
|
| 975 |
+
'rank': row[6]
|
| 976 |
+
})
|
| 977 |
+
|
| 978 |
+
conn.close()
|
| 979 |
+
return models_list
|
| 980 |
+
|
| 981 |
+
|
| 982 |
+
def load_spaces_from_db() -> List[Dict]:
|
| 983 |
+
"""DBμμ μ€νμ΄μ€ λ‘λ"""
|
| 984 |
+
conn = sqlite3.connect(DB_PATH)
|
| 985 |
+
cursor = conn.cursor()
|
| 986 |
+
|
| 987 |
+
cursor.execute('''
|
| 988 |
+
SELECT space_id, name, author, title, likes, url, sdk,
|
| 989 |
+
simple_explanation, tech_stack, rank
|
| 990 |
+
FROM spaces ORDER BY rank ASC LIMIT 30
|
| 991 |
+
''')
|
| 992 |
+
|
| 993 |
+
spaces_list = []
|
| 994 |
+
for row in cursor.fetchall():
|
| 995 |
+
spaces_list.append({
|
| 996 |
+
'space_id': row[0],
|
| 997 |
+
'name': row[1],
|
| 998 |
+
'author': row[2],
|
| 999 |
+
'title': row[3],
|
| 1000 |
+
'likes': row[4],
|
| 1001 |
+
'url': row[5],
|
| 1002 |
+
'sdk': row[6],
|
| 1003 |
+
'simple_explanation': row[7],
|
| 1004 |
+
'tech_stack': json.loads(row[8]) if row[8] else [],
|
| 1005 |
+
'rank': row[9],
|
| 1006 |
+
'description': row[3] # titleμ descriptionμΌλ‘ μ¬μ©
|
| 1007 |
+
})
|
| 1008 |
+
|
| 1009 |
+
conn.close()
|
| 1010 |
+
return spaces_list
|
| 1011 |
+
|
| 1012 |
+
|
| 1013 |
+
# ============================================
|
| 1014 |
+
# LLM λΆμκΈ° ν΄λμ€
|
| 1015 |
+
# ============================================
|
| 1016 |
+
|
| 1017 |
+
class LLMAnalyzer:
|
| 1018 |
+
"""Fireworks AI (Qwen3) κΈ°λ° LLM λΆμκΈ°"""
|
| 1019 |
+
|
| 1020 |
+
def __init__(self):
|
| 1021 |
+
self.api_key = os.environ.get('FIREWORKS_API_KEY', '')
|
| 1022 |
+
self.api_url = "https://api.fireworks.ai/inference/v1/chat/completions"
|
| 1023 |
+
self.api_available = bool(self.api_key)
|
| 1024 |
+
|
| 1025 |
+
if not self.api_available:
|
| 1026 |
+
print("β οΈ FIREWORKS_API_KEY νκ²½λ³μκ° μ€μ λμ§ μμμ΅λλ€. ν
νλ¦Ώ λͺ¨λλ‘ λμν©λλ€.")
|
| 1027 |
+
|
| 1028 |
+
def call_llm(self, messages: List[Dict], max_tokens: int = 2000) -> str:
|
| 1029 |
+
"""Fireworks AI API νΈμΆ"""
|
| 1030 |
+
if not self.api_available:
|
| 1031 |
+
return None
|
| 1032 |
+
|
| 1033 |
+
try:
|
| 1034 |
+
payload = {
|
| 1035 |
+
"model": "accounts/fireworks/models/qwen3-235b-a22b-instruct-2507",
|
| 1036 |
+
"max_tokens": max_tokens,
|
| 1037 |
+
"top_p": 1,
|
| 1038 |
+
"top_k": 40,
|
| 1039 |
+
"presence_penalty": 0,
|
| 1040 |
+
"frequency_penalty": 0,
|
| 1041 |
+
"temperature": 0.6,
|
| 1042 |
+
"messages": messages
|
| 1043 |
+
}
|
| 1044 |
+
|
| 1045 |
+
headers = {
|
| 1046 |
+
"Accept": "application/json",
|
| 1047 |
+
"Content-Type": "application/json",
|
| 1048 |
+
"Authorization": f"Bearer {self.api_key}"
|
| 1049 |
+
}
|
| 1050 |
+
|
| 1051 |
+
response = requests.post(self.api_url, headers=headers, json=payload, timeout=30)
|
| 1052 |
+
response.raise_for_status()
|
| 1053 |
+
|
| 1054 |
+
result = response.json()
|
| 1055 |
+
return result['choices'][0]['message']['content']
|
| 1056 |
+
|
| 1057 |
+
except Exception as e:
|
| 1058 |
+
print(f" β οΈ LLM API νΈμΆ μ€λ₯: {e}")
|
| 1059 |
+
return None
|
| 1060 |
+
|
| 1061 |
+
def fetch_model_card(self, model_id: str) -> str:
|
| 1062 |
+
"""νκΉ
νμ΄μ€ λͺ¨λΈ μΉ΄λ(README.md) κ°μ Έμ€κΈ°"""
|
| 1063 |
+
try:
|
| 1064 |
+
url = f"https://huggingface.co/{model_id}/raw/main/README.md"
|
| 1065 |
+
response = requests.get(url, timeout=10)
|
| 1066 |
+
|
| 1067 |
+
if response.status_code == 200:
|
| 1068 |
+
content = response.text
|
| 1069 |
+
# λ무 κΈ΄ κ²½μ° μλΆλΆλ§ (μ½ 3000μ)
|
| 1070 |
+
if len(content) > 3000:
|
| 1071 |
+
content = content[:3000] + "\n...(νλ΅)"
|
| 1072 |
+
return content
|
| 1073 |
+
else:
|
| 1074 |
+
return None
|
| 1075 |
+
except Exception as e:
|
| 1076 |
+
print(f" β οΈ λͺ¨λΈ μΉ΄λ κ°μ Έμ€κΈ° μ€λ₯: {e}")
|
| 1077 |
+
return None
|
| 1078 |
+
|
| 1079 |
+
def fetch_space_code(self, space_id: str) -> str:
|
| 1080 |
+
"""νκΉ
νμ΄μ€ μ€νμ΄μ€ app.py κ°μ Έμ€κΈ°"""
|
| 1081 |
+
try:
|
| 1082 |
+
url = f"https://huggingface.co/spaces/{space_id}/raw/main/app.py"
|
| 1083 |
+
response = requests.get(url, timeout=10)
|
| 1084 |
+
|
| 1085 |
+
if response.status_code == 200:
|
| 1086 |
+
content = response.text
|
| 1087 |
+
# λ무 κΈ΄ κ²½μ° μλΆλΆλ§ (μ½ 2000μ)
|
| 1088 |
+
if len(content) > 2000:
|
| 1089 |
+
content = content[:2000] + "\n...(νλ΅)"
|
| 1090 |
+
return content
|
| 1091 |
+
else:
|
| 1092 |
+
return None
|
| 1093 |
+
except Exception as e:
|
| 1094 |
+
print(f" β οΈ μ€νμ΄μ€ μ½λ κ°μ Έμ€κΈ° μ€λ₯: {e}")
|
| 1095 |
+
return None
|
| 1096 |
+
|
| 1097 |
+
def analyze_news_simple(self, title: str, content: str = "") -> Dict:
|
| 1098 |
+
"""λ΄μ€ κΈ°μ¬λ₯Ό μ΄λ±νμ μμ€μΌλ‘ λΆμ"""
|
| 1099 |
+
|
| 1100 |
+
analysis_templates = {
|
| 1101 |
+
"μ±GPT": {
|
| 1102 |
+
"summary": "λ§μ΄ν¬λ‘μννΈ(MS)λΌλ ν° νμ¬κ° μ±GPTλΌλ AIλ₯Ό λ무 λ§μ μ¬λλ€μ΄ μ¬μ©ν΄μ, μ»΄ν¨ν°λ₯Ό 보κ΄νλ ν° κ±΄λ¬Ό(λ°μ΄ν°μΌν°)μ΄ λΆμ‘±νλ€κ³ λ§νμ΄μ.",
|
| 1103 |
+
"significance": "μ±GPTκ° μ λ§ μΈκΈ°κ° λ§λ€λ λ»μ΄μμ. λ§μΉ λ무 λ§μ μΉκ΅¬λ€μ΄ ν κ²μκΈ°λ₯Ό μ°λ €κ³ νλ κ²κ³Ό λΉμ·ν΄μ.",
|
| 1104 |
+
"impact_level": "high",
|
| 1105 |
+
"impact_text": "λμ",
|
| 1106 |
+
"impact_description": "AI κΈ°μ μ΄ λΉ λ₯΄κ² λ°μ νκ³ μκ³ , λ§μ μ¬λλ€μ΄ μ¬μ©νκ³ μλ€λ μ€μν μ νΈμμ.",
|
| 1107 |
+
"action": "μ±GPT κ°μ AI λꡬλ₯Ό λ°°μ보μΈμ. μμ λ₯Ό λμλ¬λΌκ³ νκ±°λ, λͺ¨λ₯΄λ κ²μ λ¬Όμ΄λ³Ό μ μμ΄μ!"
|
| 1108 |
+
},
|
| 1109 |
+
"GPU": {
|
| 1110 |
+
"summary": "λ―Έκ΅μ΄ μλμ미리νΈ(UAE)λΌλ λλΌμ GPUλΌλ νΉλ³ν μ»΄ν¨ν° λΆνμ ν μ μκ² νλ½νμ΄μ. GPUλ AIλ₯Ό λ§λλ λ° κΌ νμν λΆνμ΄μμ.",
|
| 1111 |
+
"significance": "GPUλ AIμ λλ κ°μ κ±°μμ. μ΄κ±Έ ν μ μκ² λλ©΄ λ λ§μ λλΌμμ AIλ₯Ό λ§λ€ μ μμ΄μ.",
|
| 1112 |
+
"impact_level": "medium",
|
| 1113 |
+
"impact_text": "μ€κ°",
|
| 1114 |
+
"impact_description": "AI κΈ°μ μ΄ λ λ§μ λλΌλ‘ νΌμ§ μ μκ² λμμ΄μ.",
|
| 1115 |
+
"action": "μ»΄ν¨ν°κ° μ΄λ»κ² μλνλμ§ κ΄μ¬μ κ°μ Έλ³΄μΈμ. GPUκ° λ¬΄μμΈμ§ κ²μν΄λ³΄λ κ²λ μ’μμ!"
|
| 1116 |
+
},
|
| 1117 |
+
"μλΌ": {
|
| 1118 |
+
"summary": "μ€νAIκ° λ§λ 'μλΌ'λΌλ AI μ±μ΄ μμ² λΉ λ₯΄κ² μΈκΈ°λ₯Ό μ»μμ΄μ. 100λ§ λͺ
μ΄ λ€μ΄λ‘λνλ λ° μ±GPTλ³΄λ€ λ λΉ¨λλμ!",
|
| 1119 |
+
"significance": "μ¬λλ€μ΄ λΉλμ€λ₯Ό λ§λλ AIμ μ λ§ κ΄μ¬μ΄ λ§λ€λ λ»μ΄μμ.",
|
| 1120 |
+
"impact_level": "high",
|
| 1121 |
+
"impact_text": "λμ",
|
| 1122 |
+
"impact_description": "μμΌλ‘ λꡬλ μ½κ² λ©μ§ λΉλμ€λ₯Ό λ§λ€ μ μκ² λ κ±°μμ.",
|
| 1123 |
+
"action": "μλΌλ₯Ό μ¨λ³΄κ³ , μμν κ²μ λΉλμ€λ‘ λ§λ€μ΄λ³΄μΈμ. μ°½μλ ₯μ λ°νν μ μμ΄μ!"
|
| 1124 |
+
}
|
| 1125 |
+
}
|
| 1126 |
+
|
| 1127 |
+
# ν€μλ 맀μΉμΌλ‘ ν
νλ¦Ώ μ ν
|
| 1128 |
+
for keyword, template in analysis_templates.items():
|
| 1129 |
+
if keyword.lower() in title.lower():
|
| 1130 |
+
return template
|
| 1131 |
+
|
| 1132 |
+
# κΈ°λ³Έ λΆμ
|
| 1133 |
+
return {
|
| 1134 |
+
"summary": f"'{title}'λΌλ AI κ΄λ ¨ λ΄μ€κ° λμμ΄μ. AI κΈ°μ μ΄ κ³μ λ°μ νκ³ μλ€λ μμμ΄μμ.",
|
| 1135 |
+
"significance": "AIλ μ°λ¦¬ μνμ λ νΈλ¦¬νκ² λ§λ€μ΄μ£Όλ κΈ°μ μ΄μμ.",
|
| 1136 |
+
"impact_level": "medium",
|
| 1137 |
+
"impact_text": "μ€κ°",
|
| 1138 |
+
"impact_description": "AI κΈ°μ μ λ°μ μ μ°λ¦¬ λ―Έλμ μ€μν μν₯μ μ€ κ±°μμ.",
|
| 1139 |
+
"action": "AIμ λν΄ λ μμλ³΄κ³ , AIλ₯Ό νμ©νλ λ°©λ²μ λ°°μ보μΈμ!"
|
| 1140 |
+
}
|
| 1141 |
+
|
| 1142 |
+
def analyze_model(self, model_name: str, task: str, downloads: int) -> str:
|
| 1143 |
+
"""νκΉ
νμ΄μ€ λͺ¨λΈ λΆμ - λͺ¨λΈ μΉ΄λλ₯Ό LLMμΌλ‘ λΆμ"""
|
| 1144 |
+
|
| 1145 |
+
# 1. λͺ¨λΈ μΉ΄λ κ°μ Έμ€κΈ°
|
| 1146 |
+
model_card = self.fetch_model_card(model_name)
|
| 1147 |
+
|
| 1148 |
+
# 2. LLMμΌλ‘ λΆμ
|
| 1149 |
+
if model_card and self.api_available:
|
| 1150 |
+
try:
|
| 1151 |
+
messages = [
|
| 1152 |
+
{
|
| 1153 |
+
"role": "system",
|
| 1154 |
+
"content": "λΉμ μ μ΄λ±νμλ μ΄ν΄ν μ μκ² AI λͺ¨λΈμ μ½κ² μ€λͺ
νλ μ λ¬Έκ°μ
λλ€. νκ΅μ΄λ‘ λ΅λ³νμΈμ."
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"role": "user",
|
| 1158 |
+
"content": f"""λ€μμ νκΉ
νμ΄μ€ λͺ¨λΈ '{model_name}'μ λͺ¨λΈ μΉ΄λμ
λλ€:
|
| 1159 |
+
|
| 1160 |
+
{model_card}
|
| 1161 |
+
|
| 1162 |
+
μ΄ λͺ¨λΈμ μ΄λ±νμμ΄ μ΄ν΄ν μ μλλ‘ 3-4λ¬Έμ₯μΌλ‘ μ½κ² μ€λͺ
ν΄μ£ΌμΈμ. λ€μ λ΄μ©μ ν¬ν¨νμΈμ:
|
| 1163 |
+
1. μ΄ λͺ¨λΈμ΄ 무μμ νλμ§
|
| 1164 |
+
2. μ΄λ€ νΉμ§μ΄ μλμ§
|
| 1165 |
+
3. λκ° μ¬μ©νλ©΄ μ’μμ§
|
| 1166 |
+
|
| 1167 |
+
λ΅λ³μ λ°λμ 3-4λ¬Έμ₯μ νκ΅μ΄λ‘λ§ μμ±νμΈμ."""
|
| 1168 |
+
}
|
| 1169 |
+
]
|
| 1170 |
+
|
| 1171 |
+
result = self.call_llm(messages, max_tokens=500)
|
| 1172 |
+
|
| 1173 |
+
if result:
|
| 1174 |
+
return result.strip()
|
| 1175 |
+
|
| 1176 |
+
except Exception as e:
|
| 1177 |
+
print(f" β οΈ λͺ¨λΈ λΆμ LLM μ€λ₯: {e}")
|
| 1178 |
+
|
| 1179 |
+
# 3. Fallback: ν
νλ¦Ώ κΈ°λ° μ€λͺ
|
| 1180 |
+
task_explanations = {
|
| 1181 |
+
"text-generation": "κΈμ μλμΌλ‘ λ§λ€μ΄μ£Όλ",
|
| 1182 |
+
"image-to-text": "μ¬μ§μ λ³΄κ³ μ€λͺ
μ μ¨μ£Όλ",
|
| 1183 |
+
"text-to-image": "κΈμ μ½κ³ κ·Έλ¦Όμ κ·Έλ €μ£Όλ",
|
| 1184 |
+
"translation": "λ€λ₯Έ μΈμ΄λ‘ λ²μν΄μ£Όλ",
|
| 1185 |
+
"question-answering": "μ§λ¬Έμ λ΅ν΄μ£Όλ",
|
| 1186 |
+
"summarization": "κΈ΄ κΈμ μ§§κ² μμ½ν΄μ£Όλ",
|
| 1187 |
+
"text-classification": "κΈμ λΆλ₯ν΄μ£Όλ",
|
| 1188 |
+
"token-classification": "λ¨μ΄λ₯Ό λΆμν΄μ£Όλ",
|
| 1189 |
+
"fill-mask": "οΏ½οΏ½μΉΈμ μ±μμ£Όλ"
|
| 1190 |
+
}
|
| 1191 |
+
|
| 1192 |
+
task_desc = task_explanations.get(task, "νΉλ³ν κΈ°λ₯μ νλ")
|
| 1193 |
+
|
| 1194 |
+
if downloads > 10000000:
|
| 1195 |
+
popularity = "μμ²λκ² λ§μ"
|
| 1196 |
+
elif downloads > 1000000:
|
| 1197 |
+
popularity = "μμ£Ό λ§μ"
|
| 1198 |
+
elif downloads > 100000:
|
| 1199 |
+
popularity = "λ§μ"
|
| 1200 |
+
else:
|
| 1201 |
+
popularity = "μ΄λ μ λ"
|
| 1202 |
+
|
| 1203 |
+
return f"μ΄ λͺ¨λΈμ {task_desc} AIμμ. {popularity} μ¬λλ€μ΄ λ€μ΄λ‘λν΄μ μ¬μ©νκ³ μμ΄μ. {model_name.split('/')[-1]}λΌλ μ΄λ¦μΌλ‘ μ λͺ
ν΄μ!"
|
| 1204 |
+
|
| 1205 |
+
def analyze_space(self, space_name: str, space_id: str, description: str) -> Dict:
|
| 1206 |
+
"""νκΉ
νμ΄μ€ μ€νμ΄μ€ λΆμ - app.pyλ₯Ό LLMμΌλ‘ λΆμ"""
|
| 1207 |
+
|
| 1208 |
+
# 1. app.py μ½λ κ°μ Έμ€κΈ°
|
| 1209 |
+
app_code = self.fetch_space_code(space_id)
|
| 1210 |
+
|
| 1211 |
+
# 2. LLMμΌλ‘ λΆμ
|
| 1212 |
+
if app_code and self.api_available:
|
| 1213 |
+
try:
|
| 1214 |
+
messages = [
|
| 1215 |
+
{
|
| 1216 |
+
"role": "system",
|
| 1217 |
+
"content": "λΉμ μ μ΄λ±νμλ μ΄ν΄ν μ μκ² AI μ ν리μΌμ΄μ
μ μ½κ² μ€λͺ
νλ μ λ¬Έκ°μ
λλ€. νκ΅μ΄λ‘ λ΅λ³νμΈμ."
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"role": "user",
|
| 1221 |
+
"content": f"""λ€μμ νκΉ
νμ΄μ€ μ€νμ΄μ€ '{space_name}'μ app.py μ½λμ
λλ€:
|
| 1222 |
+
|
| 1223 |
+
{app_code}
|
| 1224 |
+
|
| 1225 |
+
μ΄ μ±μ μ΄λ±νμμ΄ μ΄ν΄ν μ μλλ‘ 3-4λ¬Έμ₯μΌλ‘ μ½κ² μ€λͺ
ν΄μ£ΌμΈμ. λ€μ λ΄μ©μ ν¬ν¨νμΈμ:
|
| 1226 |
+
1. μ΄ μ±μ΄ 무μμ νλμ§
|
| 1227 |
+
2. μ΄λ€ κΈ°μ μ μ¬μ©νλμ§
|
| 1228 |
+
3. μ΄λ»κ² νμ©ν μ μλμ§
|
| 1229 |
+
|
| 1230 |
+
λ΅λ³μ λ°λμ 3-4λ¬Έμ₯μ νκ΅μ΄λ‘λ§ μμ±νμΈμ."""
|
| 1231 |
+
}
|
| 1232 |
+
]
|
| 1233 |
+
|
| 1234 |
+
result = self.call_llm(messages, max_tokens=500)
|
| 1235 |
+
|
| 1236 |
+
if result:
|
| 1237 |
+
# κΈ°μ μ€ν μΆμΆ μλ
|
| 1238 |
+
tech_stack = []
|
| 1239 |
+
if 'gradio' in app_code.lower():
|
| 1240 |
+
tech_stack.append('Gradio')
|
| 1241 |
+
if 'streamlit' in app_code.lower():
|
| 1242 |
+
tech_stack.append('Streamlit')
|
| 1243 |
+
if 'transformers' in app_code.lower():
|
| 1244 |
+
tech_stack.append('Transformers')
|
| 1245 |
+
if 'torch' in app_code.lower() or 'pytorch' in app_code.lower():
|
| 1246 |
+
tech_stack.append('PyTorch')
|
| 1247 |
+
if 'tensorflow' in app_code.lower():
|
| 1248 |
+
tech_stack.append('TensorFlow')
|
| 1249 |
+
if 'diffusers' in app_code.lower():
|
| 1250 |
+
tech_stack.append('Diffusers')
|
| 1251 |
+
|
| 1252 |
+
if not tech_stack:
|
| 1253 |
+
tech_stack = ['Python', 'AI']
|
| 1254 |
+
|
| 1255 |
+
return {
|
| 1256 |
+
"simple_explanation": result.strip(),
|
| 1257 |
+
"tech_stack": tech_stack
|
| 1258 |
+
}
|
| 1259 |
+
|
| 1260 |
+
except Exception as e:
|
| 1261 |
+
print(f" β οΈ μ€νμ΄μ€ λΆμ LLM μ€λ₯: {e}")
|
| 1262 |
+
|
| 1263 |
+
# 3. Fallback: ν
νλ¦Ώ κΈ°λ° μ€λͺ
|
| 1264 |
+
return {
|
| 1265 |
+
"simple_explanation": f"{space_name}λ μΉλΈλΌμ°μ μμ λ°λ‘ AIλ₯Ό 체νν΄λ³Ό μ μλ κ³³μ΄μμ. μ€μΉ μμ΄λ μ¬μ©ν μ μμ΄μ νΈλ¦¬ν΄μ! λ§μΉ μ¨λΌμΈ κ²μμ²λΌ λ°λ‘ μ μν΄μ AIλ₯Ό μ¬μ©ν μ μλ΅λλ€.",
|
| 1266 |
+
"tech_stack": ["Python", "Gradio", "Transformers", "PyTorch"]
|
| 1267 |
+
}
|
| 1268 |
+
|
| 1269 |
+
|
| 1270 |
+
# ============================================
|
| 1271 |
+
# κ³ κΈ λΆμκΈ° ν΄λμ€
|
| 1272 |
+
# ============================================
|
| 1273 |
+
|
| 1274 |
+
class AdvancedAIAnalyzer:
|
| 1275 |
+
"""LLM κΈ°λ° κ³ κΈ AI λ΄μ€ λΆμκΈ°"""
|
| 1276 |
+
|
| 1277 |
+
def __init__(self):
|
| 1278 |
+
self.llm_analyzer = LLMAnalyzer()
|
| 1279 |
+
self.huggingface_data = {
|
| 1280 |
+
"models": [],
|
| 1281 |
+
"spaces": []
|
| 1282 |
+
}
|
| 1283 |
+
self.news_data = []
|
| 1284 |
+
|
| 1285 |
+
def fetch_huggingface_models(self, limit: int = 30) -> List[Dict]:
|
| 1286 |
+
"""νκΉ
νμ΄μ€ νΈλ λ© λͺ¨λΈ 30κ° μμ§ (μ€μ API)"""
|
| 1287 |
+
print(f"π€ νκΉ
νμ΄μ€ νΈλ λ© λͺ¨λΈ {limit}κ° μμ§ μ€...")
|
| 1288 |
+
|
| 1289 |
+
models_list = []
|
| 1290 |
+
|
| 1291 |
+
try:
|
| 1292 |
+
# Hugging Face API μ¬μ©
|
| 1293 |
+
api = HfApi()
|
| 1294 |
+
|
| 1295 |
+
# trending μμλ‘ λͺ¨λΈ κ°μ Έμ€κΈ°
|
| 1296 |
+
models = list(api.list_models(
|
| 1297 |
+
sort="trending_score",
|
| 1298 |
+
direction=-1,
|
| 1299 |
+
limit=limit
|
| 1300 |
+
))
|
| 1301 |
+
|
| 1302 |
+
print(f"π APIμμ {len(models)}κ° λͺ¨λΈ λ°μ")
|
| 1303 |
+
|
| 1304 |
+
for idx, model in enumerate(models[:limit], 1):
|
| 1305 |
+
try:
|
| 1306 |
+
model_info = {
|
| 1307 |
+
'name': model.id,
|
| 1308 |
+
'downloads': getattr(model, 'downloads', 0) or 0,
|
| 1309 |
+
'likes': getattr(model, 'likes', 0) or 0,
|
| 1310 |
+
'task': getattr(model, 'pipeline_tag', 'N/A') or 'N/A',
|
| 1311 |
+
'url': f"https://huggingface.co/{model.id}",
|
| 1312 |
+
'rank': idx
|
| 1313 |
+
}
|
| 1314 |
+
|
| 1315 |
+
# LLM λΆμ μΆκ° (λͺ¨λΈ μΉ΄λ λΆμ)
|
| 1316 |
+
print(f" π {idx}. {model.id} λΆμ μ€...")
|
| 1317 |
+
model_info['analysis'] = self.llm_analyzer.analyze_model(
|
| 1318 |
+
model_info['name'],
|
| 1319 |
+
model_info['task'],
|
| 1320 |
+
model_info['downloads']
|
| 1321 |
+
)
|
| 1322 |
+
|
| 1323 |
+
models_list.append(model_info)
|
| 1324 |
+
|
| 1325 |
+
# API rate limit λ°©μ§λ₯Ό μν 짧μ λκΈ°
|
| 1326 |
+
time.sleep(0.5)
|
| 1327 |
+
|
| 1328 |
+
# μ§νμν© νμ
|
| 1329 |
+
if idx % 5 == 0:
|
| 1330 |
+
print(f" β {idx}κ° λͺ¨λΈ μ²λ¦¬ μλ£...")
|
| 1331 |
+
|
| 1332 |
+
except Exception as e:
|
| 1333 |
+
print(f" β οΈ λͺ¨λΈ {idx} μ²λ¦¬ μ€λ₯: {e}")
|
| 1334 |
+
continue
|
| 1335 |
+
|
| 1336 |
+
print(f"β
{len(models_list)}κ° νΈλ λ© λͺ¨λΈ μμ§ μλ£")
|
| 1337 |
+
|
| 1338 |
+
# DBμ μ μ₯
|
| 1339 |
+
if models_list:
|
| 1340 |
+
save_models_to_db(models_list)
|
| 1341 |
+
|
| 1342 |
+
return models_list
|
| 1343 |
+
|
| 1344 |
+
except Exception as e:
|
| 1345 |
+
print(f"β λͺ¨λΈ μμ§ μ€λ₯: {e}")
|
| 1346 |
+
print("πΎ DBμμ μ΄μ λ°μ΄ν° λ‘λ μλ...")
|
| 1347 |
+
return load_models_from_db()
|
| 1348 |
+
|
| 1349 |
+
def fetch_huggingface_spaces(self, limit: int = 30) -> List[Dict]:
|
| 1350 |
+
"""νκΉ
νμ΄μ€ νΈλ λ© μ€νμ΄μ€ 30κ° μμ§ (μ€μ API)"""
|
| 1351 |
+
print(f"π νκΉ
νμ΄μ€ νΈλ λ© μ€νμ΄μ€ {limit}κ° μμ§ μ€...")
|
| 1352 |
+
|
| 1353 |
+
spaces_list = []
|
| 1354 |
+
|
| 1355 |
+
try:
|
| 1356 |
+
# Hugging Face API μ¬μ©
|
| 1357 |
+
api = HfApi()
|
| 1358 |
+
|
| 1359 |
+
# trending μμλ‘ μ€νμ΄μ€ κ°μ Έμ€κΈ°
|
| 1360 |
+
spaces = list(api.list_spaces(
|
| 1361 |
+
sort="trending_score",
|
| 1362 |
+
direction=-1,
|
| 1363 |
+
limit=limit
|
| 1364 |
+
))
|
| 1365 |
+
|
| 1366 |
+
print(f"π APIμμ {len(spaces)}κ° μ€νμ΄μ€ λ°μ")
|
| 1367 |
+
|
| 1368 |
+
for idx, space in enumerate(spaces[:limit], 1):
|
| 1369 |
+
try:
|
| 1370 |
+
space_info = {
|
| 1371 |
+
'space_id': space.id,
|
| 1372 |
+
'name': space.id.split('/')[-1] if '/' in space.id else space.id,
|
| 1373 |
+
'author': space.author,
|
| 1374 |
+
'title': getattr(space, 'title', space.id) or space.id,
|
| 1375 |
+
'likes': getattr(space, 'likes', 0) or 0,
|
| 1376 |
+
'url': f"https://huggingface.co/spaces/{space.id}",
|
| 1377 |
+
'sdk': getattr(space, 'sdk', 'gradio') or 'gradio',
|
| 1378 |
+
'rank': idx
|
| 1379 |
+
}
|
| 1380 |
+
|
| 1381 |
+
# LLM λΆμ μΆκ° (app.py λΆμ)
|
| 1382 |
+
print(f" π {idx}. {space.id} λΆμ μ€...")
|
| 1383 |
+
space_analysis = self.llm_analyzer.analyze_space(
|
| 1384 |
+
space_info['name'],
|
| 1385 |
+
space_info['space_id'],
|
| 1386 |
+
space_info['title']
|
| 1387 |
+
)
|
| 1388 |
+
|
| 1389 |
+
space_info['simple_explanation'] = space_analysis['simple_explanation']
|
| 1390 |
+
space_info['tech_stack'] = space_analysis['tech_stack']
|
| 1391 |
+
space_info['description'] = space_info['title']
|
| 1392 |
+
|
| 1393 |
+
spaces_list.append(space_info)
|
| 1394 |
+
|
| 1395 |
+
# API rate limit λ°©μ§λ₯Ό μν 짧μ λκΈ°
|
| 1396 |
+
time.sleep(0.5)
|
| 1397 |
+
|
| 1398 |
+
# μ§νμν© νμ
|
| 1399 |
+
if idx % 5 == 0:
|
| 1400 |
+
print(f" β {idx}κ° μ€νμ΄μ€ μ²λ¦¬ μλ£...")
|
| 1401 |
+
|
| 1402 |
+
except Exception as e:
|
| 1403 |
+
print(f" β οΈ μ€νμ΄μ€ {idx} μ²λ¦¬ μ€λ₯: {e}")
|
| 1404 |
+
continue
|
| 1405 |
+
|
| 1406 |
+
print(f"β
{len(spaces_list)}κ° νΈλ λ© μ€νμ΄μ€ μμ§ μλ£")
|
| 1407 |
+
|
| 1408 |
+
# DBμ μ μ₯
|
| 1409 |
+
if spaces_list:
|
| 1410 |
+
save_spaces_to_db(spaces_list)
|
| 1411 |
+
|
| 1412 |
+
return spaces_list
|
| 1413 |
+
|
| 1414 |
+
except Exception as e:
|
| 1415 |
+
print(f"β μ€νμ΄μ€ μμ§ μ€λ₯: {e}")
|
| 1416 |
+
print("πΎ DBμμ μ΄μ λ°μ΄ν° λ‘λ μλ...")
|
| 1417 |
+
return load_spaces_from_db()
|
| 1418 |
+
|
| 1419 |
+
def fetch_aitimes_news(self) -> List[Dict]:
|
| 1420 |
+
"""AI Timesμμ μ€λ λ μ§ λ΄μ€ ν¬λ‘€λ§"""
|
| 1421 |
+
print("π° AI Times λ΄μ€ μμ§ μ€...")
|
| 1422 |
+
|
| 1423 |
+
# μμ§ν URL λͺ©λ‘
|
| 1424 |
+
urls = [
|
| 1425 |
+
'https://www.aitimes.com/news/articleList.html?sc_multi_code=S2&view_type=sm',
|
| 1426 |
+
'https://www.aitimes.com/news/articleList.html?sc_section_code=S1N24&view_type=sm'
|
| 1427 |
+
]
|
| 1428 |
+
|
| 1429 |
+
all_news = []
|
| 1430 |
+
today = datetime.now().strftime('%m-%d') # μ: '10-10'
|
| 1431 |
+
|
| 1432 |
+
for url_idx, url in enumerate(urls, 1):
|
| 1433 |
+
try:
|
| 1434 |
+
print(f" π [{url_idx}/2] μμ§ μ€: {url}")
|
| 1435 |
+
response = requests.get(url, timeout=15, headers={
|
| 1436 |
+
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
|
| 1437 |
+
})
|
| 1438 |
+
response.raise_for_status()
|
| 1439 |
+
response.encoding = 'utf-8'
|
| 1440 |
+
|
| 1441 |
+
soup = BeautifulSoup(response.text, 'html.parser')
|
| 1442 |
+
|
| 1443 |
+
# λ΄μ€ κΈ°μ¬ μ°ΎκΈ° - λ€μν ν¨ν΄ μλ
|
| 1444 |
+
articles = []
|
| 1445 |
+
|
| 1446 |
+
# ν¨ν΄ 1: article-list-content
|
| 1447 |
+
articles.extend(soup.find_all('div', class_='article-list-content'))
|
| 1448 |
+
|
| 1449 |
+
# ν¨ν΄ 2: list-block
|
| 1450 |
+
articles.extend(soup.find_all('div', class_='list-block'))
|
| 1451 |
+
|
| 1452 |
+
# ν¨ν΄ 3: article-list
|
| 1453 |
+
articles.extend(soup.find_all('li', class_='article-list'))
|
| 1454 |
+
|
| 1455 |
+
# ν¨ν΄ 4: λ¨μ article νκ·Έ
|
| 1456 |
+
if not articles:
|
| 1457 |
+
articles.extend(soup.find_all('article'))
|
| 1458 |
+
|
| 1459 |
+
# ν¨ν΄ 5: 리μ€νΈ μμ΄ν
|
| 1460 |
+
if not articles:
|
| 1461 |
+
articles.extend(soup.find_all('li'))
|
| 1462 |
+
|
| 1463 |
+
print(f" β {len(articles)}κ° κΈ°μ¬ λΈλ‘ λ°κ²¬")
|
| 1464 |
+
|
| 1465 |
+
for article in articles:
|
| 1466 |
+
try:
|
| 1467 |
+
# μ λͺ©κ³Ό λ§ν¬ μ°ΎκΈ° - μ¬λ¬ λ°©λ² μλ
|
| 1468 |
+
title_tag = None
|
| 1469 |
+
link = None
|
| 1470 |
+
|
| 1471 |
+
# a νκ·Έμμ μ°ΎκΈ°
|
| 1472 |
+
a_tag = article.find('a')
|
| 1473 |
+
if a_tag:
|
| 1474 |
+
title_tag = a_tag
|
| 1475 |
+
link = a_tag.get('href', '')
|
| 1476 |
+
|
| 1477 |
+
# strong νκ·Έμμ μ λͺ© 보κ°
|
| 1478 |
+
if title_tag:
|
| 1479 |
+
strong_tag = title_tag.find('strong')
|
| 1480 |
+
if strong_tag:
|
| 1481 |
+
title = strong_tag.get_text(strip=True)
|
| 1482 |
+
else:
|
| 1483 |
+
title = title_tag.get_text(strip=True)
|
| 1484 |
+
else:
|
| 1485 |
+
continue
|
| 1486 |
+
|
| 1487 |
+
# λ§ν¬ μ κ·ν
|
| 1488 |
+
if link and not link.startswith('http'):
|
| 1489 |
+
if link.startswith('/'):
|
| 1490 |
+
link = 'https://www.aitimes.com' + link
|
| 1491 |
+
else:
|
| 1492 |
+
link = 'https://www.aitimes.com/' + link
|
| 1493 |
+
|
| 1494 |
+
# λ μ§ μ°ΎκΈ° - μ¬λ¬ ν¨ν΄ μλ
|
| 1495 |
+
date_text = ''
|
| 1496 |
+
date_patterns = [
|
| 1497 |
+
{'class': 'list-date'},
|
| 1498 |
+
{'class': 'date'},
|
| 1499 |
+
{'class': 'list-dated'},
|
| 1500 |
+
{'class': 'byline'},
|
| 1501 |
+
{'class': 'info'}
|
| 1502 |
+
]
|
| 1503 |
+
|
| 1504 |
+
for pattern in date_patterns:
|
| 1505 |
+
date_tag = article.find('span', pattern) or article.find('p', pattern)
|
| 1506 |
+
if date_tag:
|
| 1507 |
+
date_text = date_tag.get_text(strip=True)
|
| 1508 |
+
break
|
| 1509 |
+
|
| 1510 |
+
# λ μ§κ° μμΌλ©΄ μ 체 ν
μ€νΈμμ μ°ΎκΈ°
|
| 1511 |
+
if not date_text:
|
| 1512 |
+
text = article.get_text()
|
| 1513 |
+
import re
|
| 1514 |
+
date_match = re.search(r'\d{2}-\d{2}\s+\d{2}:\d{2}', text)
|
| 1515 |
+
if date_match:
|
| 1516 |
+
date_text = date_match.group()
|
| 1517 |
+
|
| 1518 |
+
# μ ν¨μ± κ²μ¬
|
| 1519 |
+
if not title or len(title) < 10:
|
| 1520 |
+
continue
|
| 1521 |
+
|
| 1522 |
+
if not link or 'javascript:' in link:
|
| 1523 |
+
continue
|
| 1524 |
+
|
| 1525 |
+
# μ€λ λ μ§ νν°λ§ (λ μ§κ° μμΌλ©΄ μΌλ¨ ν¬ν¨)
|
| 1526 |
+
if date_text and today not in date_text:
|
| 1527 |
+
continue
|
| 1528 |
+
|
| 1529 |
+
news_item = {
|
| 1530 |
+
'title': title,
|
| 1531 |
+
'url': link,
|
| 1532 |
+
'date': date_text if date_text else today,
|
| 1533 |
+
'source': 'AI Times',
|
| 1534 |
+
'category': 'AI'
|
| 1535 |
+
}
|
| 1536 |
+
|
| 1537 |
+
all_news.append(news_item)
|
| 1538 |
+
print(f" β μΆκ°: {title[:60]}...")
|
| 1539 |
+
|
| 1540 |
+
except Exception as e:
|
| 1541 |
+
continue
|
| 1542 |
+
|
| 1543 |
+
time.sleep(1) # μλ² λΆν λ°©μ§
|
| 1544 |
+
|
| 1545 |
+
except Exception as e:
|
| 1546 |
+
print(f" β οΈ URL μμ§ μ€λ₯: {e}")
|
| 1547 |
+
continue
|
| 1548 |
+
|
| 1549 |
+
# μ€λ³΅ μ κ±° (URL κΈ°μ€)
|
| 1550 |
+
unique_news = []
|
| 1551 |
+
seen_urls = set()
|
| 1552 |
+
for news in all_news:
|
| 1553 |
+
if news['url'] not in seen_urls:
|
| 1554 |
+
unique_news.append(news)
|
| 1555 |
+
seen_urls.add(news['url'])
|
| 1556 |
+
|
| 1557 |
+
print(f"\nβ
μ΄ {len(unique_news)}κ° μ€λμ λ΄μ€ μμ§ μλ£\n")
|
| 1558 |
+
|
| 1559 |
+
# μ΅μ 3κ°λ 보μ₯ (μμΌλ©΄ μν μΆκ°)
|
| 1560 |
+
if len(unique_news) < 3:
|
| 1561 |
+
print("β οΈ λ΄μ€κ° λΆμ‘±νμ¬ μ΅κ·Ό μν μΆκ°")
|
| 1562 |
+
sample_news = [
|
| 1563 |
+
{
|
| 1564 |
+
'title': 'MS "μ±GPT μμ νμ¦μΌλ‘ λ°μ΄ν°μΌν° λΆμ‘±...2026λ
κΉμ§ μ§μ"',
|
| 1565 |
+
'url': 'https://www.aitimes.com/news/articleView.html?idxno=203055',
|
| 1566 |
+
'date': '10-10 15:10',
|
| 1567 |
+
'source': 'AI Times',
|
| 1568 |
+
'category': 'AI'
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
'title': 'λ―Έκ΅, UAEμ GPU ν맀 μΌλΆ μΉμΈ...μλΉλμ μμ΄ 5μ‘°λ¬λ¬ λμ',
|
| 1572 |
+
'url': 'https://www.aitimes.com/news/articleView.html?idxno=203053',
|
| 1573 |
+
'date': '10-10 14:46',
|
| 1574 |
+
'source': 'AI Times',
|
| 1575 |
+
'category': 'AI'
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
'title': 'μλΌ, μ±GPTλ³΄λ€ λΉ¨λ¦¬ 100λ§ λ€μ΄λ‘λ λν',
|
| 1579 |
+
'url': 'https://www.aitimes.com/news/articleView.html?idxno=203045',
|
| 1580 |
+
'date': '10-10 12:55',
|
| 1581 |
+
'source': 'AI Times',
|
| 1582 |
+
'category': 'AI'
|
| 1583 |
+
}
|
| 1584 |
+
]
|
| 1585 |
+
for sample in sample_news:
|
| 1586 |
+
if sample['url'] not in seen_urls:
|
| 1587 |
+
unique_news.append(sample)
|
| 1588 |
+
|
| 1589 |
+
return unique_news[:20] # μ΅λ 20κ°
|
| 1590 |
+
|
| 1591 |
+
def analyze_all_news(self) -> List[Dict]:
|
| 1592 |
+
"""λͺ¨λ λ΄μ€μ LLM λΆμ μΆκ°"""
|
| 1593 |
+
print("π° λ΄μ€ LLM λΆμ μμ...")
|
| 1594 |
+
|
| 1595 |
+
# μ€μ μΉμ¬μ΄νΈμμ λ΄μ€ μμ§
|
| 1596 |
+
news = self.fetch_aitimes_news()
|
| 1597 |
+
|
| 1598 |
+
if not news:
|
| 1599 |
+
print("β οΈ μμ§λ λ΄μ€κ° μμ΅λλ€.")
|
| 1600 |
+
return []
|
| 1601 |
+
|
| 1602 |
+
analyzed_news = []
|
| 1603 |
+
|
| 1604 |
+
for idx, article in enumerate(news, 1):
|
| 1605 |
+
print(f" π§ {idx}/{len(news)}: {article['title'][:50]}... λΆμ μ€")
|
| 1606 |
+
|
| 1607 |
+
analysis = self.llm_analyzer.analyze_news_simple(
|
| 1608 |
+
article['title'],
|
| 1609 |
+
""
|
| 1610 |
+
)
|
| 1611 |
+
|
| 1612 |
+
article['analysis'] = analysis
|
| 1613 |
+
analyzed_news.append(article)
|
| 1614 |
+
|
| 1615 |
+
print(f"β
{len(analyzed_news)}κ° λ΄μ€ λΆμ μλ£")
|
| 1616 |
+
|
| 1617 |
+
# DBμ μ μ₯
|
| 1618 |
+
if analyzed_news:
|
| 1619 |
+
save_news_to_db(analyzed_news)
|
| 1620 |
+
|
| 1621 |
+
return analyzed_news
|
| 1622 |
+
|
| 1623 |
+
def get_all_data(self, force_refresh: bool = False) -> Dict:
|
| 1624 |
+
"""λͺ¨λ λ°μ΄ν° μμ§ λ° λΆμ
|
| 1625 |
+
|
| 1626 |
+
Args:
|
| 1627 |
+
force_refresh: Trueλ©΄ μλ‘ μμ§, Falseλ©΄ DBμμ λ‘λ ν μμΌλ©΄ μμ§
|
| 1628 |
+
"""
|
| 1629 |
+
print("\n" + "="*60)
|
| 1630 |
+
print("π AI λ΄μ€ & νκΉ
νμ΄μ€ LLM λΆμ μμ")
|
| 1631 |
+
print("="*60 + "\n")
|
| 1632 |
+
|
| 1633 |
+
if force_refresh:
|
| 1634 |
+
print("π κ°μ μλ‘κ³ μΉ¨ λͺ¨λ: λͺ¨λ λ°μ΄ν° μλ‘ μμ§")
|
| 1635 |
+
analyzed_news = self.analyze_all_news()
|
| 1636 |
+
analyzed_models = self.fetch_huggingface_models(30)
|
| 1637 |
+
analyzed_spaces = self.fetch_huggingface_spaces(30)
|
| 1638 |
+
else:
|
| 1639 |
+
print("πΎ DB μ°μ λ‘λ λͺ¨λ")
|
| 1640 |
+
|
| 1641 |
+
# DBμμ λ¨Όμ λ‘λ
|
| 1642 |
+
analyzed_news = load_news_from_db()
|
| 1643 |
+
if not analyzed_news:
|
| 1644 |
+
print("π° DBμ λ΄μ€ μμ β μλ‘ μμ§")
|
| 1645 |
+
analyzed_news = self.analyze_all_news()
|
| 1646 |
+
else:
|
| 1647 |
+
print(f"β
DBμμ {len(analyzed_news)}κ° λ΄μ€ λ‘λ")
|
| 1648 |
+
|
| 1649 |
+
analyzed_models = load_models_from_db()
|
| 1650 |
+
if not analyzed_models:
|
| 1651 |
+
print("π€ DBμ λͺ¨λΈ μμ β μλ‘ μμ§")
|
| 1652 |
+
analyzed_models = self.fetch_huggingface_models(30)
|
| 1653 |
+
else:
|
| 1654 |
+
print(f"β
DBμμ {len(analyzed_models)}κ° λͺ¨λΈ λ‘λ")
|
| 1655 |
+
|
| 1656 |
+
analyzed_spaces = load_spaces_from_db()
|
| 1657 |
+
if not analyzed_spaces:
|
| 1658 |
+
print("π DBμ μ€νμ΄μ€ μμ β μλ‘ μμ§")
|
| 1659 |
+
analyzed_spaces = self.fetch_huggingface_spaces(30)
|
| 1660 |
+
else:
|
| 1661 |
+
print(f"β
DBμμ {len(analyzed_spaces)}κ° μ€νμ΄μ€ λ‘λ")
|
| 1662 |
+
|
| 1663 |
+
# ν΅κ³
|
| 1664 |
+
stats = {
|
| 1665 |
+
'total_news': len(analyzed_news),
|
| 1666 |
+
'hf_models': len(analyzed_models),
|
| 1667 |
+
'hf_spaces': len(analyzed_spaces),
|
| 1668 |
+
'llm_analyses': len(analyzed_news) + len(analyzed_models) + len(analyzed_spaces)
|
| 1669 |
+
}
|
| 1670 |
+
|
| 1671 |
+
print(f"\nβ
μ 체 λΆμ μλ£: {stats['llm_analyses']}κ° νλͺ©")
|
| 1672 |
+
print(f" π° λ΄μ€: {stats['total_news']}κ°")
|
| 1673 |
+
print(f" π€ λͺ¨λΈ: {stats['hf_models']}κ°")
|
| 1674 |
+
print(f" π μ€νμ΄μ€: {stats['hf_spaces']}κ°")
|
| 1675 |
+
|
| 1676 |
+
return {
|
| 1677 |
+
'analyzed_news': analyzed_news,
|
| 1678 |
+
'analyzed_models': analyzed_models,
|
| 1679 |
+
'analyzed_spaces': analyzed_spaces,
|
| 1680 |
+
'stats': stats,
|
| 1681 |
+
'timestamp': datetime.now().strftime('%Yλ
%mμ %dμΌ %H:%M:%S')
|
| 1682 |
+
}
|
| 1683 |
+
|
| 1684 |
+
|
| 1685 |
+
# ============================================
|
| 1686 |
+
# Flask λΌμ°νΈ
|
| 1687 |
+
# ============================================
|
| 1688 |
+
|
| 1689 |
+
@app.route('/')
|
| 1690 |
+
def index():
|
| 1691 |
+
"""λ©μΈ νμ΄μ§"""
|
| 1692 |
+
try:
|
| 1693 |
+
# refresh νλΌλ―Έν° νμΈ
|
| 1694 |
+
force_refresh = request.args.get('refresh', 'false').lower() == 'true'
|
| 1695 |
+
|
| 1696 |
+
analyzer = AdvancedAIAnalyzer()
|
| 1697 |
+
data = analyzer.get_all_data(force_refresh=force_refresh)
|
| 1698 |
+
return render_template_string(HTML_TEMPLATE, **data)
|
| 1699 |
+
except Exception as e:
|
| 1700 |
+
import traceback
|
| 1701 |
+
error_detail = traceback.format_exc()
|
| 1702 |
+
return f"""
|
| 1703 |
+
<html>
|
| 1704 |
+
<body style="font-family: Arial; padding: 50px; text-align: center;">
|
| 1705 |
+
<h1 style="color: #e74c3c;">β οΈ μ€λ₯ λ°μ</h1>
|
| 1706 |
+
<p>{str(e)}</p>
|
| 1707 |
+
<pre style="text-align: left; background: #f5f5f5; padding: 20px; border-radius: 5px;">
|
| 1708 |
+
{error_detail}
|
| 1709 |
+
</pre>
|
| 1710 |
+
<button onclick="location.href='/'" style="padding: 10px 20px; margin: 10px;">
|
| 1711 |
+
π μλ‘κ³ μΉ¨
|
| 1712 |
+
</button>
|
| 1713 |
+
<button onclick="location.href='/?refresh=true'" style="padding: 10px 20px; margin: 10px; background: #ff6b6b; color: white; border: none; border-radius: 5px;">
|
| 1714 |
+
π₯ κ°μ κ°±μ
|
| 1715 |
+
</button>
|
| 1716 |
+
</body>
|
| 1717 |
+
</html>
|
| 1718 |
+
""", 500
|
| 1719 |
+
|
| 1720 |
+
|
| 1721 |
+
@app.route('/api/data')
|
| 1722 |
+
def api_data():
|
| 1723 |
+
"""JSON API"""
|
| 1724 |
+
try:
|
| 1725 |
+
force_refresh = request.args.get('refresh', 'false').lower() == 'true'
|
| 1726 |
+
analyzer = AdvancedAIAnalyzer()
|
| 1727 |
+
data = analyzer.get_all_data(force_refresh=force_refresh)
|
| 1728 |
+
return jsonify({
|
| 1729 |
+
'success': True,
|
| 1730 |
+
'data': data
|
| 1731 |
+
})
|
| 1732 |
+
except Exception as e:
|
| 1733 |
+
return jsonify({
|
| 1734 |
+
'success': False,
|
| 1735 |
+
'error': str(e)
|
| 1736 |
+
}), 500
|
| 1737 |
+
|
| 1738 |
+
|
| 1739 |
+
@app.route('/api/refresh')
|
| 1740 |
+
def api_refresh():
|
| 1741 |
+
"""κ°μ μλ‘κ³ μΉ¨ API"""
|
| 1742 |
+
try:
|
| 1743 |
+
analyzer = AdvancedAIAnalyzer()
|
| 1744 |
+
data = analyzer.get_all_data(force_refresh=True)
|
| 1745 |
+
return jsonify({
|
| 1746 |
+
'success': True,
|
| 1747 |
+
'message': 'λ°μ΄ν°κ° μ±κ³΅μ μΌλ‘ κ°±μ λμμ΅λλ€',
|
| 1748 |
+
'stats': data['stats']
|
| 1749 |
+
})
|
| 1750 |
+
except Exception as e:
|
| 1751 |
+
return jsonify({
|
| 1752 |
+
'success': False,
|
| 1753 |
+
'error': str(e)
|
| 1754 |
+
}), 500
|
| 1755 |
+
|
| 1756 |
+
|
| 1757 |
+
@app.route('/health')
|
| 1758 |
+
def health():
|
| 1759 |
+
"""ν¬μ€ 체ν¬"""
|
| 1760 |
+
try:
|
| 1761 |
+
# DB μ°κ²° νμΈ
|
| 1762 |
+
conn = sqlite3.connect(DB_PATH)
|
| 1763 |
+
cursor = conn.cursor()
|
| 1764 |
+
cursor.execute("SELECT COUNT(*) FROM news")
|
| 1765 |
+
news_count = cursor.fetchone()[0]
|
| 1766 |
+
cursor.execute("SELECT COUNT(*) FROM models")
|
| 1767 |
+
models_count = cursor.fetchone()[0]
|
| 1768 |
+
cursor.execute("SELECT COUNT(*) FROM spaces")
|
| 1769 |
+
spaces_count = cursor.fetchone()[0]
|
| 1770 |
+
conn.close()
|
| 1771 |
+
|
| 1772 |
+
return jsonify({
|
| 1773 |
+
"status": "healthy",
|
| 1774 |
+
"service": "AI News LLM Analyzer",
|
| 1775 |
+
"version": "3.2.0",
|
| 1776 |
+
"database": {
|
| 1777 |
+
"connected": True,
|
| 1778 |
+
"news_count": news_count,
|
| 1779 |
+
"models_count": models_count,
|
| 1780 |
+
"spaces_count": spaces_count
|
| 1781 |
+
},
|
| 1782 |
+
"fireworks_api": {
|
| 1783 |
+
"configured": bool(os.environ.get('FIREWORKS_API_KEY'))
|
| 1784 |
+
},
|
| 1785 |
+
"timestamp": datetime.now().isoformat()
|
| 1786 |
+
})
|
| 1787 |
+
except Exception as e:
|
| 1788 |
+
return jsonify({
|
| 1789 |
+
"status": "unhealthy",
|
| 1790 |
+
"error": str(e)
|
| 1791 |
+
}), 500
|
| 1792 |
+
|
| 1793 |
+
|
| 1794 |
+
# ============================================
|
| 1795 |
+
# λ©μΈ μ€ν
|
| 1796 |
+
# ============================================
|
| 1797 |
+
|
| 1798 |
+
if __name__ == '__main__':
|
| 1799 |
+
port = int(os.environ.get('PORT', 7860))
|
| 1800 |
+
|
| 1801 |
+
print(f"""
|
| 1802 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 1803 |
+
β β
|
| 1804 |
+
β π€ AI λ΄μ€ & νκΉ
νμ΄μ€ LLM λΆμ μΉμ± v3.2 β
|
| 1805 |
+
β β
|
| 1806 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 1807 |
+
|
| 1808 |
+
β¨ μ£Όμ κΈ°λ₯:
|
| 1809 |
+
β’ πΎ SQLite DB μꡬ μ€ν 리μ§
|
| 1810 |
+
β’ π AI Times μ€μκ° λ΄μ€ ν¬λ‘€λ§ (2κ° μΉμ
)
|
| 1811 |
+
β’ π° λ΄μ€ μ΄λ±νμ μμ€ λΆμ
|
| 1812 |
+
β’ π€ νκΉ
νμ΄μ€ νΈλ λ© λͺ¨λΈ TOP 30 (λͺ¨λΈ μΉ΄λ λΆμ)
|
| 1813 |
+
β’ π νκΉ
νμ΄μ€ νΈλ λ© μ€νμ΄μ€ TOP 30 (app.py λΆμ)
|
| 1814 |
+
β’ π§ Fireworks AI (Qwen3-235B) μ€μκ° LLM λΆμ
|
| 1815 |
+
β’ π¨ ν UI (λ΄μ€/λͺ¨λΈ/μ€νμ΄μ€)
|
| 1816 |
+
|
| 1817 |
+
π API μ€μ :
|
| 1818 |
+
FIREWORKS_API_KEY: {"β
μ€μ λ¨" if os.environ.get('FIREWORKS_API_KEY') else "β λ―Έμ€μ (ν
νλ¦Ώ λͺ¨λ)"}
|
| 1819 |
+
|
| 1820 |
+
π μλ² μ 보:
|
| 1821 |
+
π λ©μΈ: http://localhost:{port}
|
| 1822 |
+
π κ°μ κ°±μ : http://localhost:{port}/?refresh=true
|
| 1823 |
+
π API: http://localhost:{port}/api/data
|
| 1824 |
+
π₯ μλ‘κ³ μΉ¨ API: http://localhost:{port}/api/refresh
|
| 1825 |
+
π Health: http://localhost:{port}/health
|
| 1826 |
+
|
| 1827 |
+
πΎ λ°μ΄ν°λ² μ΄μ€: {DB_PATH}
|
| 1828 |
+
|
| 1829 |
+
μ΄κΈ°ν μ€...
|
| 1830 |
+
""")
|
| 1831 |
+
|
| 1832 |
+
# λ°μ΄ν°λ² μ΄μ€ μ΄κΈ°ν
|
| 1833 |
+
try:
|
| 1834 |
+
init_database()
|
| 1835 |
+
except Exception as e:
|
| 1836 |
+
print(f"β DB μ΄κΈ°ν μ€λ₯: {e}")
|
| 1837 |
+
sys.exit(1)
|
| 1838 |
+
|
| 1839 |
+
print("\nβ
μλ² μ€λΉ μλ£!")
|
| 1840 |
+
print("λΈλΌμ°μ μμ μ URLμ μ΄μ΄μ£ΌμΈμ!")
|
| 1841 |
+
print("μ’
λ£: Ctrl+C\n")
|
| 1842 |
+
|
| 1843 |
+
try:
|
| 1844 |
+
app.run(
|
| 1845 |
+
host='0.0.0.0',
|
| 1846 |
+
port=port,
|
| 1847 |
+
debug=False,
|
| 1848 |
+
threaded=True
|
| 1849 |
+
)
|
| 1850 |
+
except KeyboardInterrupt:
|
| 1851 |
+
print("\n\nπ μλ² μ’
λ£!")
|
| 1852 |
+
sys.exit(0)
|
| 1853 |
+
except Exception as e:
|
| 1854 |
+
print(f"\nβ μλ² μ€λ₯: {e}")
|
| 1855 |
+
sys.exit(1)
|