Update src/streamlit_app.py

src/streamlit_app.py

@@ -79,7 +79,7 @@ def load_context():
                 return f.read().strip()
         else:
             # Default context if file doesn't exist
-            return """I am Prakhar. I can help you with general questions and conversations.
+            return """I am Prakhar, an AI assistant. I can help you with general questions and conversations.
 I aim to be helpful, harmless, and honest in all my interactions."""
             
     except Exception as e:
@@ -112,7 +112,7 @@ def transcribe_audio(audio_bytes):
             transcript = client.audio.transcriptions.create(
                 model="whisper-1",
                 file=audio_file,
-                language="en" 
+                language="en"  # You can remove this to auto-detect language
             )
         
         # Clean up temporary file
@@ -134,7 +134,8 @@ Context about you:
 
 Instructions:
 - Use the context above to inform your responses
-- If asked about something not covered in the context, say "I'm not sure about that based on what I know about myself"
+- If asked about something not covered in the context, you can use your general knowledge
+- If you're not sure about something specific to your context, say "I'm not sure about that based on what I know about myself"
 - Keep responses conversational and natural
 - Be helpful and engaging"""
 
@@ -194,7 +195,7 @@ def process_audio(audio_bytes):
 
 def main():
     st.title("🎙️ Voice Bot")
-    st.markdown("*Talk to me using your voice!*")
+    st.markdown("*Talk to Prakhar using your voice!*")
     
     # Initialize session state
     init_session_state()
@@ -204,7 +205,6 @@ def main():
     
     with col1:
         st.subheader("🎤 Voice Input")
-        st.write("Audio Recording stops after 2 seconds of silence.")
         
         # Audio recorder
         audio_bytes = audio_recorder(
@@ -217,6 +217,10 @@ def main():
             sample_rate=44100
         )
         
+        # Show current recording
+        if audio_bytes:
+            st.audio(audio_bytes, format="audio/wav")
+        
         # Process audio when new recording is available
         if audio_bytes and not st.session_state.processing:
             st.session_state.processing = True
@@ -230,12 +234,11 @@ def main():
                     "ai": ai_response,
                     "speech": speech_audio
                 })
+                
+                # Force a rerun to update the conversation display
+                st.rerun()
             
             st.session_state.processing = False
-        
-        # Show current recording
-        if audio_bytes:
-            st.audio(audio_bytes, format="audio/wav")
     
     with col2:
         st.subheader("💬 Conversation")
@@ -268,13 +271,17 @@ def main():
         else:
             st.info("👋 Start by recording your voice message above!")
     
-    # Context management section
+    # Context display section
     st.divider()
     
-    with st.expander("✍️ Context", expanded=False):
-        st.text_area("Current: ", value=st.session_state.context,
-            height=270,)
+    with st.expander("ℹ️ Context", expanded=False):
+        st.markdown("**Prakhar's Context:**")
+        st.info(st.session_state.context)
         
+        # Only keep the clear conversation button
+        if st.button("🗑️ Clear Conversation"):
+            st.session_state.conversation_history = []
+            st.rerun()
     
     # Status indicators
     if st.session_state.processing: