Update app.py

app.py

@@ -200,29 +200,31 @@ 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 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)
-
-                st.subheader("📝 Answer")
-                st.success(result['answer'])
-                st.write(f"Confidence: {result['score']:.2f}")
-            else:
-                st.warning("Please upload a CSV file first.")
+            
 
-        except sr.UnknownValueError:
-            st.error("Sorry, could not understand the question. Please try again.")
-        except sr.RequestError:
-            st.error("Speech Recognition API is unavailable.")
+    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 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)
+    
+                    st.subheader("📝 Answer")
+                    st.success(result['answer'])
+                    st.write(f"Confidence: {result['score']:.2f}")
+                else:
+                    st.warning("Please upload a CSV file first.")
+    
+            except sr.UnknownValueError:
+                st.error("Sorry, could not understand the question. Please try again.")
+            except sr.RequestError:
+                st.error("Speech Recognition API is unavailable.")