Update app.py

app.py

@@ -6,13 +6,13 @@ from langchain_google_genai.chat_models import ChatGoogleGenerativeAI
 os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "./firm-catalyst-437006-s4-407500537db5.json"
 
 # Chat function
-def chat_with_gemini(user_input, chat_history=[]):
+def chat_with_gemini(user_input, chat_history):
     try:
         # Append the user input to the chat history
         chat_history.append(("User", user_input))
         
-        # Get response from the model
-        response = llm.predict(user_input)  # Assuming 'predict' is the correct method
+        # Get response from the model (assuming 'predict' is the correct method)
+        response = llm.predict(user_input)
         
         # Append the bot's response to the chat history
         chat_history.append(("Bot", response))
@@ -29,17 +29,13 @@ with gr.Blocks() as iface:
     gr.Markdown("# Chatbot with Gemini 1.5")
     gr.Markdown("Ask me anything!")
     
-    chatbot = gr.Chatbot()
-    msg = gr.Textbox(label="Type your message here...")
+    chatbot = gr.Chatbot()  # Initialize the chatbot
+    msg = gr.Textbox(label="Type your message here...", placeholder="Enter your message...")  # Text input for user messages
     state = gr.State([])  # Store chat history
 
-    # Define the interaction between components
-    def send_message(user_input, chat_history):
-        return chat_with_gemini(user_input, chat_history)
-
     # Set up the interaction for when the user submits a message
-    msg.submit(send_message, [msg, state], [chatbot, state])
-    msg.submit(lambda: "", None, msg)  # Clear input box after submission
+    msg.submit(chat_with_gemini, [msg, state], [chatbot])  # Update chatbot with new messages
+    msg.submit(lambda: "", None, msg)  # Clear the input box after submission
 
 # Launch the interface with debugging enabled
 iface.launch(debug=True)