Delete app.py

app.py

@@ -1,37 +0,0 @@
-import spaces
-import gradio as gr
-from transformers import pipeline
-import torch
-
-# Initialize the pipeline
-pipe = pipeline(
-    "text-generation",
-    model="google/medgemma-27b-text-it",
-    torch_dtype=torch.bfloat16,
-    device="cuda",
-)
-
-@spaces.GPU
-def generate_response(system_prompt, user_prompt):
-    messages = [
-        {"role": "system", "content": system_prompt},
-        {"role": "user", "content": user_prompt},
-    ]
-    
-    output = pipe(messages, max_new_tokens=2048)
-    return output[0]["generated_text"][-1]["content"]
-
-# Create Gradio UI
-demo = gr.Interface(
-    fn=generate_response,
-    inputs=[
-        gr.Textbox(label="System Prompt", value="You are a helpful medical assistant."),
-        gr.Textbox(label="User Prompt", placeholder="Enter your question here..."),
-    ],
-    outputs=gr.Textbox(label="Generated Response"),
-    title="MedGemma Medical Assistant",
-    description="Enter a system and user prompt to generate a medically-informed response."
-)
-
-# Launch the app
-demo.launch()