Update app.py

app.py

@@ -1,36 +1,38 @@
-import streamlit as st
-def chatbot_interface():
-    # Initialize session state for conversation history
-    if 'messages' not in st.session_state:
-        st.session_state.messages = []
+def main():
+    st.title("Doctor Chatbot")
+    # Initialize chat history if not already initialized
+    if "chat_messages" not in st.session_state:
+        st.session_state.chat_messages = []
 
-    # Function to generate a response (placeholder)
-    def generate_response(user_input):
-        return f"You said: {user_input}"
-
-    # Streamlit app layout
-    st.title("Chatbot Interface")
-
-    # Display conversation history
-    for message in st.session_state.messages:
-        st.write(message)
+    # Display chat history
+    for message in st.session_state.chat_messages:
+        if message["role"] == "user":
+            st.text_area("User:", message["content"], height=40, key=message["content"], disabled=True)
+        else:
+            st.text_area("AI:", message["content"], height=40, key=message["content"], disabled=True)
 
     # User input
-    user_input = st.text_input("You:", "")
-
-    # Submit button
-    if st.button("Send"):
-        if user_input:
-            # Append user message to session state
-            st.session_state.messages.append(f"You: {user_input}")
-            
-            # Generate and append bot response to session state
-            bot_response = "generate_response(user_input)"
-            st.session_state.messages.append(f"Bot: {bot_response}")
-            
-            # Clear the input box
-            st.experimental_rerun()
+    if prompt := st.chat_input("Welcome - How can I help you?"):
+        # Display user's message in chat message container
+        with st.chat_message("user"):
+            st.markdown(prompt)
+        
+        # Add user message to chat history
+        st.session_state.chat_messages.append({"role": "user", "content": prompt})
+        
+        # Get AI response using responsr function
+        response = responsr(prompt)
+        
+        
+        # Display assistant's response in chat message container
+        with st.chat_message("assistant"):
+            st.markdown(response)
+        
+        # Add assistant's response and audio to chat history
+        st.session_state.chat_messages.append({
+            "role": "assistant",
+            "content": response,
+        })
 
-# Call the function to run the chatbot interface
 if __name__ == "__main__":
-    chatbot_interface()
+    main()