Update app.py

app.py

@@ -88,6 +88,17 @@ 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 run_actr():
     from python_actr import log_everything
 
@@ -107,12 +118,12 @@ def run_actr():
     env.run()
 
 
-#def run_ecs(inp):
-#    try:
-#        result=ecf(inp)
-#    except sqlite3.OperationalError:
-#        print ("db error")
-#    return result
+def run_ecs(inp):
+    try:
+        result=ecf(inp)
+    except sqlite3.OperationalError:
+        print ("db error")
+    return result
 
   
 def load_data():
@@ -120,6 +131,11 @@ def load_data():
     reviews, total_reviews = get_latest_reviews(db)
     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
 
 # Creating a sample dataframe
 #df = pd.DataFrame({
@@ -136,14 +152,35 @@ css="footer {visibility: hidden}"
 # Applying style to highlight the maximum value in each row
 #styler = df.style.highlight_max(color = 'lightgreen', axis = 0)
 with gr.Blocks() as demo:
+    with gr.Row():
+    with gr.Column():
+        data2 = gr.Dataframe() #styler)
+        count2 = gr.Number(label="Rates2!")
     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)
+
+            name2 = gr.Textbox(label="a2") #, placeholder="What is your name?")
+            rate2 =  gr.Textbox(label="b2") #, placeholder="What is your name?") #gr.Radio(label="How satisfied are you with using gradio?", choices=[1, 2, 3, 4, 5])
+            celsci2 = gr.Textbox(label="c2") #, lines=10, placeholder="Do you have any feedback on gradio?")
+            #run_actr()
+            submit2 = gr.Button(value=".")
+            submit.click(ccogsphere2, [name2, rate2, celsci2], [data2, count2])
+            demo.load(load_data2, None, [data2, count2])
+            @name.change(inputs=name2, outputs=celsci2,_js="window.location.reload()")
+            @rate.change(inputs=rate2, outputs=name2,_js="window.location.reload()")
+            @celsci.change(inputs=celsci2, outputs2=rate,_js="window.location.reload()")  
+            
+            def secwork2(name2):
+                #if name=="abc":
+                #run_code()
+                load_data2()
+                #return "Hello " + name + "!"
 
     with gr.Row():
         with gr.Column():