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app.py

@@ -12,7 +12,7 @@ stop_inference = False
 
 def respond(
     message,
-    history=None,  # Default to None
+    history: list[tuple[str, str]],
     system_message="You are a friendly Chatbot.",
     max_tokens=512,
     temperature=0.7,
@@ -123,45 +123,30 @@ custom_css = """
 }
 """
 
-# # Define the interface
-# with gr.Blocks(css=custom_css) as demo:
-#     gr.Markdown("<h1 style='text-align: center;'>🌟 Fancy AI Chatbot 🌟</h1>")
-#     gr.Markdown("Interact with the AI chatbot using customizable settings below.")
+# Define the interface
+with gr.Blocks(css=custom_css) as demo:
+    gr.Markdown("<h1 style='text-align: center;'>🌟 Fancy AI Chatbot 🌟</h1>")
+    gr.Markdown("Interact with the AI chatbot using customizable settings below.")
 
-#     with gr.Row():
-#         system_message = gr.Textbox(value="You are a friendly Chatbot.", label="System message", interactive=True)
-#         use_local_model = gr.Checkbox(label="Use Local Model", value=False)
+    with gr.Row():
+        system_message = gr.Textbox(value="You are a friendly Chatbot.", label="System message", interactive=True)
+        use_local_model = gr.Checkbox(label="Use Local Model", value=False)
 
-#     with gr.Row():
-#         max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
-#         temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
-#         top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
+    with gr.Row():
+        max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
+        temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
+        top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
 
-#     chat_history = gr.Chatbot(label="Chat")
+    chat_history = gr.Chatbot(label="Chat")
 
-#     user_input = gr.Textbox(show_label=False, placeholder="Type your message here...")
+    user_input = gr.Textbox(show_label=False, placeholder="Type your message here...")
 
-#     cancel_button = gr.Button("Cancel Inference", variant="danger")
+    cancel_button = gr.Button("Cancel Inference", variant="danger")
 
-#     # Adjusted to ensure history is maintained and passed correctly
-#     user_input.submit(respond, [user_input, chat_history, system_message, max_tokens, temperature, top_p, use_local_model], chat_history)
-#     cancel_button.click(cancel_inference)
-
-# if __name__ == "__main__":
-#     demo.launch(share=False)  # Remove share=True because it's not supported on HF Spaces
-
-demo = gr.ChatInterface(
-    fn=respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
-        gr.Checkbox(label="Use Local Model", value=False)
-    ],
-    cancel=gr.Button("Cancel Inference", variant="danger"),
-    css=custom_css  # Apply the custom CSS styling
-)
+    # Adjusted to ensure history is maintained and passed correctly
+    user_input.submit(respond, [user_input, chat_history, system_message, max_tokens, temperature, top_p, use_local_model], chat_history)
+    cancel_button.click(cancel_inference)
 
 if __name__ == "__main__":
-    demo.launch(share=True)
+    demo.launch(share=False)  # Remove share=True because it's not supported on HF Spaces
+