Delete app.py

app.py

@@ -1,58 +0,0 @@
-import gradio as gr
-from gradio_client import Client
-
-# Call the existing model
-client = Client("Futuresony/Mr.Events")
-
-# Function to interact with the hosted model
-def chat_with_model(user_input, chat_history):
-    """
-    Sends user input and chat history to the hosted model and returns the response
-    and updated history.
-    """
-    # The hosted Gradio app expects the chat history as a list of [user, assistant] pairs.
-    # Initial call will have chat_history as an empty list.
-    # Subsequent calls will have chat_history including previous turns.
-
-    print(f"Client sending query: {user_input}")
-    print(f"Client sending history: {chat_history}")
-
-    try:
-        # Call the hosted model's chat endpoint
-        # Pass user_input and chat_history as positional arguments
-        result = client.predict(
-            user_input,
-            chat_history, # Pass the history from the client's Chatbot
-            api_name="/chat"
-        )
-        print(f"Client received raw result: {result}")
-
-        # The hosted app's `chat` function returns the final response string.
-        # We need to append the user input and the model's response to the history.
-        updated_history = chat_history + [[user_input, result]]
-        return "", updated_history # Return empty string for textbox and updated history
-
-    except Exception as e:
-        print(f"Error during client prediction: {e}")
-        import traceback
-        print(traceback.format_exc())
-        # Append user input and an error message to history
-        error_message = f"An error occurred while communicating with the model: {e}"
-        updated_history = chat_history + [[user_input, error_message]]
-        return "", updated_history
-
-
-# Create the desktop-friendly interface
-with gr.Blocks() as demo:
-    gr.Markdown("## 💬 Test the ABSA Model Chat")
-    chatbot = gr.Chatbot(height=400) # Chatbot to display conversation
-    msg = gr.Textbox(label="Type your message") # Textbox for user input
-    clear = gr.ClearButton([msg, chatbot]) # Button to clear
-
-    # Link the input, button, and chatbot
-    # The fn will receive the textbox value and the chatbot history.
-    # It will return an empty string for the textbox and the updated history for the chatbot.
-    msg.submit(chat_with_model, [msg, chatbot], [msg, chatbot])
-
-# Launch the Gradio interface
-demo.launch(debug=True, show_error=True) # Corrected launch call and added show_error