Update app.py

app.py

@@ -455,28 +455,39 @@ def analysis(Manifesto, Search):
   Search: Search term entered by the user
   '''
   try:
+    print(f"Analysis function called with: Manifesto={Manifesto}, Search={Search}")
+    
     # Check if a file was uploaded
     if Manifesto is None:
+      print("No file uploaded")
       return "Please upload a PDF file", {}, None, None, None, None, None, "No file uploaded"
       
     # Handle empty search term
     if Search is None or Search.strip() == "":
       Search = "government"  # Default search term
+      print(f"Using default search term: {Search}")
+    else:
+      print(f"Using provided search term: {Search}")
       
     # Process the uploaded PDF
+    print(f"Processing file: {Manifesto.name if hasattr(Manifesto, 'name') else Manifesto}")
     raw_party = Parsing(Manifesto)
     
     # Check if parsing was successful
-    if raw_party.startswith("Error"):
+    if isinstance(raw_party, str) and raw_party.startswith("Error"):
+      print(f"Parsing error: {raw_party}")
       return raw_party, {}, None, None, None, None, None, "Error generating summary due to parsing failure"
-      
+    
+    print("Parsing successful, cleaning text...")
     text_Party = clean_text(raw_party)
     text_Party_processed = Preprocess(text_Party)
 
     # Generate summary using LLM
+    print("Generating summary...")
     summary = generate_summary(raw_party)
 
     # Sentiment analysis
+    print("Performing sentiment analysis...")
     df = pd.DataFrame(raw_party.split('\n'), columns=['Content'])
     df['Subjectivity'] = df['Content'].apply(getSubjectivity)
     df['Polarity'] = df['Content'].apply(getPolarity)
@@ -484,6 +495,7 @@ def analysis(Manifesto, Search):
     df['Analysis on Subjectivity'] = df['Subjectivity'].apply(getAnalysis)
     
     # Generate sentiment analysis plot
+    print("Generating sentiment analysis plot...")
     plt.title('Sentiment Analysis')
     plt.xlabel('Sentiment')
     plt.ylabel('Counts')
@@ -497,6 +509,7 @@ def analysis(Manifesto, Search):
     plt.clf() 
     
     # Generate subjectivity analysis plot
+    print("Generating subjectivity analysis plot...")
     plt.figure(figsize=(4,3))
     df['Analysis on Subjectivity'].value_counts().plot(kind ='bar',color="#B667F1")
     plt.tight_layout()
@@ -507,23 +520,31 @@ def analysis(Manifesto, Search):
     plt.clf()
       
     # Generate word cloud
+    print("Generating word cloud...")
     img3 = word_cloud_generator(Manifesto.name, text_Party_processed)
     
     # Generate frequency distribution and dispersion plots
+    print("Generating frequency distribution...")
     fdist_Party = fDistance(text_Party_processed)
     img4 = fDistancePlot(text_Party_processed)
+    
+    print("Generating dispersion plot...")
     img5 = DispersionPlot(text_Party_processed)
     
     # Search for the term in the text
+    print(f"Searching for term: {Search}")
     searChRes = get_all_phases_containing_tar_wrd(Search, text_Party_processed)
     searChRes = searChRes.replace(Search, "\u0332".join(Search))
     
     plt.close('all') 
+    print("Analysis completed successfully")
     return searChRes, fdist_Party, img1, img2, img3, img4, img5, summary
     
   except Exception as e:
     error_message = f"Error analyzing manifesto: {str(e)}"
     print(error_message)
+    import traceback
+    traceback.print_exc()
     # Return placeholder values in case of error
     return error_message, {}, None, None, None, None, None, "Error generating summary. Please check the console for details."
 
@@ -578,9 +599,16 @@ with gr.Blocks(title='Manifesto Analysis') as demo:
     submit_btn.click(
         fn=analysis,
         inputs=[file_input, search_input],
-        outputs=[text, mfw, plot1, plot2, plot3, plot4, plot5, summary_output]
+        outputs=[text, mfw, plot1, plot2, plot3, plot4, plot5, summary_output],
+        _js="() => {
+            console.log('Button clicked!');
+            return [];
+        }"
     )
     
+    # Add a debug print to verify the button is connected
+    print("Button connected to analysis function")
+    
     gr.Examples(
         examples=[
             ['Example/AAP_Manifesto_2019.pdf', 'government'],
@@ -590,7 +618,7 @@ with gr.Blocks(title='Manifesto Analysis') as demo:
         inputs=[file_input, search_input]
     )
 
-demo.launch(debug=True, share=False)
+demo.launch(debug=True, share=False, show_error=True)
 
 
 # Old interface code replaced by the Blocks implementation above