Update app.py

app.py

@@ -88,16 +88,12 @@ def ccogsphere(name: str, rate: int, celsci: str):
     #demo.load()
     return reviews, total_reviews
 
-def ccogsphere2(name: str, rate: int, celsci: str):
-    db = sqlite3.connect(DB_FILE)
-    cursor = db.cursor()
-    cursor.execute("INSERT INTO reviews(name, rate, celsci) VALUES(?,?,?)", [name, rate, celsci])
-    db.commit()
-    reviews, total_reviews = get_latest_reviews(db)
-    db.close()
-    #r = requests.post(url='https://ccml-persistent-data2.hf.space/api/predict/', json={"data": [name,celsci]})
-    ##demo.load()
-    return reviews, total_reviews
+def ccogsphere2(celsci: str):
+    result=run_ecs(celscie)
+    df = pd.DataFrame.from_dict(result["videos"])
+
+    gr.Dataframe(df)
+    return result
 
 def run_actr():
     from python_actr import log_everything
@@ -121,9 +117,10 @@ def run_actr():
 def run_ecs(inp):
     try:
         result=ecf(inp)
+        df=pd.DataFrame.from_dict(result["videos"])
     except sqlite3.OperationalError:
         print ("db error")
-    return result
+    return df
 
   
 def load_data():
@@ -132,10 +129,11 @@ def load_data():
     db.close()
     return reviews, total_reviews
 def load_data2():
-    db = sqlite3.connect(DB_FILE)
-    reviews2, total_reviews2 = get_latest_reviews(db)
-    db.close()
-    return reviews2, total_reviews2
+    #result=run_ecs(celscie)
+    #df = pd.DataFrame.from_dict(result["videos"])
+    reviews2=""
+    #gr.Dataframe(df)
+    return reviews2
 
 # Creating a sample dataframe
 #df = pd.DataFrame({
@@ -155,21 +153,21 @@ with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column():
             data2 = gr.Dataframe() #styler)
-            count2 = gr.Number(label="Rates2!")
+            count2 = gr.Number(label="Rates2!",value=13)
     with gr.Row():
         with gr.Column():
             celscie = gr.Textbox(label="e",value="robert+west") #, placeholder="What is your name?")
 
-            result=run_ecs(celscie)
-            df = pd.DataFrame.from_dict(result["videos"])
+            #result=run_ecs(celscie)
+            #df = pd.DataFrame.from_dict(result["videos"])
 
-            gr.Dataframe(df)
+            #gr.Dataframe(df)
 
             celsci2 = gr.Textbox(label="c2") #, lines=10, placeholder="Do you have any feedback on gradio?")
             #run_actr()
-            submit2 = gr.Button(value=".")
-            submit2.click(ccogsphere2, [celsci2], [data2, count2])
-            demo.load(load_data2, None, [data2, count2])
+            submit2 = gr.Button(value="E")
+            submit2.click(run_ecs, [celsci2], [data2])
+            #demo.load(load_data2, None, [data2])
 
     with gr.Row():
         with gr.Column():