Delete app.py

app.py

@@ -1,98 +0,0 @@
-import gradio as gr
-import os
-from medical_chatbot import ColabBioGPTChatbot
-
-# Instantiate the chatbot with CPU settings for HF Spaces
-chatbot = ColabBioGPTChatbot(use_gpu=False, use_8bit=False)
-
-medical_file_uploaded = False
-
-def upload_and_initialize(file):
-    global medical_file_uploaded
-    if file is None:
-        return (
-            "❌ Please upload a medical .txt file.",
-            gr.Chatbot(visible=False),
-            gr.Textbox(visible=False),
-            gr.Button(visible=False)
-        )
-
-    # Handle the file path correctly for Gradio
-    file_path = file.name if hasattr(file, 'name') else file
-    success = chatbot.load_medical_data(file_path)
-    
-    if success:
-        medical_file_uploaded = True
-        model_name = type(chatbot.model).__name__ if chatbot.model else "Fallback Model"
-        status = f"✅ Medical data processed successfully!\n📦 Model in use: {model_name}"
-        return (
-            status,
-            gr.Chatbot(visible=True),
-            gr.Textbox(visible=True),
-            gr.Button(visible=True)
-        )
-    else:
-        return (
-            "❌ Failed to process uploaded file.",
-            gr.Chatbot(visible=False),
-            gr.Textbox(visible=False),
-            gr.Button(visible=False)
-        )
-
-def generate_response(user_input):
-    if not medical_file_uploaded:
-        return "⚠️ Please upload and initialize medical data first."
-    return chatbot.chat(user_input)
-
-# Create the Gradio interface
-with gr.Blocks(title="🩺 Pediatric Medical Assistant") as demo:
-    gr.Markdown("## 🩺 Pediatric Medical Assistant\nUpload a medical .txt file and start chatting.")
-
-    with gr.Row():
-        file_input = gr.File(label="📁 Upload Medical File", file_types=[".txt"])
-        upload_btn = gr.Button("📤 Upload and Initialize")
-
-    upload_output = gr.Textbox(label="System Status", interactive=False)
-
-    chatbot_ui = gr.Chatbot(label="🧠 Chat History", visible=False)
-    user_input = gr.Textbox(
-        placeholder="Ask a pediatric health question...", 
-        lines=2, 
-        show_label=False, 
-        visible=False
-    )
-    submit_btn = gr.Button("Send", visible=False)
-
-    upload_btn.click(
-        fn=upload_and_initialize,
-        inputs=[file_input],
-        outputs=[upload_output, chatbot_ui, user_input, submit_btn]
-    )
-
-    def on_submit(user_message, chat_history):
-        if not user_message.strip():
-            return "", chat_history
-            
-        bot_response = generate_response(user_message)
-        chat_history.append((user_message, bot_response))
-        return "", chat_history
-
-    user_input.submit(
-        fn=on_submit, 
-        inputs=[user_input, chatbot_ui], 
-        outputs=[user_input, chatbot_ui]
-    )
-    submit_btn.click(
-        fn=on_submit, 
-        inputs=[user_input, chatbot_ui], 
-        outputs=[user_input, chatbot_ui]
-    )
-
-# Launch with proper settings for Hugging Face Spaces
-if __name__ == "__main__":
-    demo.launch(
-        share=False,  # Don't need share=True on HF Spaces
-        server_name="0.0.0.0",  # Listen on all interfaces for HF Spaces
-        server_port=7860,  # Standard port for HF Spaces
-        show_error=True  # Show detailed errors for debugging
-    )