Delete app.py

app.py

@@ -1,38 +0,0 @@
-
-import gradio as gr
-from medical_chatbot import ColabBioGPTChatbot
-
-# Instantiate and auto-load the medical data
-chatbot = ColabBioGPTChatbot(use_gpu=True, use_8bit=True)
-
-medical_file_uploaded = False
-
-try:
-    chatbot.load_medical_data("Pediatric_cleaned.txt")
-    medical_file_uploaded = True
-    startup_status = "✅ Medical file 'Pediatric_cleaned.txt' loaded at startup. Ready to chat!"
-except Exception as e:
-    startup_status = f"❌ Failed to load 'Pediatric_cleaned.txt': {str(e)}"
-
-def generate_response(user_input):
-    if not medical_file_uploaded:
-        return "⚠️ Medical data failed to load. Please check the file and restart the app."
-    return chatbot.chat(user_input)
-
-with gr.Blocks() as demo:
-    gr.Markdown("## 🩺 Pediatric Medical Assistant")
-    gr.Markdown(startup_status)
-
-    chatbot_ui = gr.Chatbot(label="🧠 Chat History")
-    user_input = gr.Textbox(placeholder="Ask a pediatric health question...", lines=2, show_label=False)
-    submit_btn = gr.Button("Send")
-
-    def on_submit(user_message, 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])
-
-demo.launch(share=True)