Update app.py

app.py

@@ -37,16 +37,43 @@ def numpy_to_audio_data(audio_data):
     return audio_data
 
 def real_time_analysis():
-    recognizer = sr.Recognizer()
-    mic = sr.Microphone()
-
-    st.info("Say 'stop' to end the process.")
+    st.info("Note: If microphone access fails, please use text input.")
 
-    sentiment_scores = []
-    transcribed_chunks = []
-    total_text = ""
+    try:
+        # Try to list available microphones
+        available_mics = sr.Microphone.list_microphone_names()
+        st.write(f"Available microphones: {available_mics}")
+    except Exception as e:
+        st.warning(f"Could not detect microphones: {e}")
 
     try:
+        # Try multiple device indices
+        mic = None
+        for device_index in range(10):  # Try first 10 device indices
+            try:
+                mic = sr.Microphone(device_index=device_index)
+                st.write(f"Using microphone at device index {device_index}")
+                break
+            except Exception:
+                continue
+
+        if mic is None:
+            # Fallback to text input if no microphone works
+            st.warning("No microphone available. Switching to text input.")
+            text_input = st.text_input("Enter conversation text:")
+            if text_input:
+                sentiment, score = analyze_sentiment(text_input)
+                st.write(f"*Recognized Text:* {text_input}")
+                st.write(f"*Sentiment:* {sentiment} (Score: {score})")
+                return
+
+        recognizer = sr.Recognizer()
+        sentiment_scores = []
+        transcribed_chunks = []
+        total_text = ""
+
+        st.info("Say 'stop' to end the process.")
+
         while True:
             with mic as source:
                 st.write("Listening...")
@@ -62,6 +89,7 @@ def real_time_analysis():
                     st.write("Stopping real-time analysis...")
                     break
 
+
                 # Append to the total conversation
                 total_text += text + " "
                 sentiment, score = analyze_sentiment(text)
@@ -116,7 +144,7 @@ def real_time_analysis():
 
     except Exception as e:
         st.error(f"Error in real-time analysis: {e}")
-
+        st.warning("Unable to access microphone. Please use text input.")
 
 def generate_comprehensive_summary(chunks):
     """