Update app.py

app.py

@@ -184,11 +184,10 @@ with tab2:
    
     
     question = st.text_input("Enter your question:")
-    use_voice = False
 
-    if st.button("🎤 Speak"):
-        question = recognize_speech()
-        use_voice = True
+    recognizer = sr.Recognizer()
+
+ 
     
     if st.button("Get Answer") and context and question:
         with st.spinner("Searching for answers..."):
@@ -201,17 +200,30 @@ with tab2:
             st.subheader("Details")
             st.write(f"Confidence: {result['score']:.2f}")
 
+    if st.button("🎤 Ask Question via Mic"):
+    with sr.Microphone() as source:
+        st.info("Listening...")
+        try:
+            audio = recognizer.listen(source, timeout=5)
+            question = recognizer.recognize_google(audio)
+            st.success(f"Question: {question}")
 
-    if use_voice:
-            tts = gTTS(result['answer'])  # Convert text answer to speech
-            temp_audio = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3")  # Create temp file
-            tts.save(temp_audio.name)
+            if uploaded_file is not None:
+                context = ' '.join(df['content'].tolist())  # Extracted from uploaded news data
+                qa_pipeline = load_qa_model()
+                result = qa_pipeline(question=question, context=context)
 
-            # Play the Answer
-            st.audio(temp_audio.name, format="audio/mp3")  
+                st.subheader("📝 Answer")
+                st.success(result['answer'])
+                st.write(f"Confidence: {result['score']:.2f}")
+            else:
+                st.warning("Please upload a CSV file first.")
 
-            # Cleanup temp file
-            os.remove(temp_audio.name)        
+        except sr.UnknownValueError:
+            st.error("Sorry, could not understand the question. Please try again.")
+        except sr.RequestError:
+            st.error("Speech Recognition API is unavailable.")
+       
             
 
 with tab3: