Delete app.py

app.py

@@ -1,76 +0,0 @@
-
-import gradio as gr
-import os
-from medical_chatbot import ColabBioGPTChatbot
-
-# Instantiate the chatbot
-chatbot = ColabBioGPTChatbot(use_gpu=True, use_8bit=True)
-
-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.update(visible=False),
-            gr.Textbox.update(visible=False),
-            gr.Button.update(visible=False)
-        )
-    
-    try:
-        chatbot.load_medical_data(file.name)
-        medical_file_uploaded = True
-        return (
-            "✅ Medical data loaded and chatbot initialized!",
-            gr.Chatbot.update(visible=True),
-            gr.Textbox.update(visible=True),
-            gr.Button.update(visible=True)
-        )
-    except Exception as e:
-        return (
-            f"❌ Failed to load file: {str(e)}",
-            gr.Chatbot.update(visible=False),
-            gr.Textbox.update(visible=False),
-            gr.Button.update(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)
-
-with gr.Blocks() 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")
-    user_input = gr.Textbox(placeholder="Ask a pediatric health question...", lines=2, show_label=False)
-    submit_btn = gr.Button("Send")
-
-    chatbot_ui.visible = False
-    user_input.visible = False
-    submit_btn.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):
-        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)
-