Update src/streamlit_app.py

src/streamlit_app.py

@@ -360,23 +360,35 @@ if st.session_state.stage == 'start':
     
     if uploaded_file:
         with st.spinner("Analyzing your resume... This may take a moment."):
-            resume_text = read_resume(uploaded_file)
-            if resume_text:
-                # 1. Generate Questions
-                st.session_state.questions = generate_questions_from_resume(resume_text, gen_q_model)
-                if not st.session_state.questions:
-                    st.error("Could not generate questions from the resume. Please try another file.")
+            try:
+                resume_text = read_resume(uploaded_file)
+                if not resume_text:
+                    st.error("Could not extract text from the resume. Please try another file.")
                     st.session_state.stage = 'start'
                 else:
-                    # 2. Get AI Introduction
+                    # 1. Generate Questions (guarded inside function)
+                    st.session_state.questions = generate_questions_from_resume(resume_text, gen_q_model)
+                    if not st.session_state.questions:
+                        st.warning("No AI-generated questions returned; using fallback questions.")
+                        st.session_state.questions = generate_questions_from_resume(resume_text, None)
+
+                    # 2. Get AI Introduction (guarded)
                     intro_output = get_introduction(intro_model)
                     st.session_state.current_question = getattr(intro_output, 'question', "Can you introduce yourself?")
-                    
+
                     # 3. Move to next stage and display intro
                     st.session_state.stage = 'awaiting_intro'
                     text_to_speech_and_display(getattr(intro_output, 'intro', "Hello, I'm Interviewer.AI. Please introduce yourself."))
                     text_to_speech_and_display(getattr(intro_output, 'question', "Can you introduce yourself?"))
-                    st.rerun() # Rerun to update the UI
+                    st.rerun()
+            except Exception as e:
+                # Catch-all to prevent any LLM/network exceptions from surfacing to the client
+                st.error(f"An error occurred while processing the resume. Using fallback behaviour. Error: {e}")
+                # Fallback simple questions
+                fallback_qs = ["Tell me about your most significant project.", "Describe a challenging bug you fixed.", "How do you design for scalability?", "Which technologies are you most comfortable with?"]
+                st.session_state.questions = fallback_qs
+                st.session_state.stage = 'asking_question'
+                st.rerun()
 
 # --- Main Interview Area (Stages > 0) ---
 if st.session_state.stage != 'start':