Update app.py

app.py

@@ -1,4 +1,4 @@
-import gradio as gr
+
 import torch
 from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 
@@ -22,42 +22,3 @@ def generate_response(symptoms, max_length=512):
     
     generated_text = tokenizer.decode(output_ids[0], skip_special_tokens=True)
     return generated_text
-
-# Define Gradio interface
-with gr.Blocks(title="Medical Symptom Assistant") as demo:
-    gr.Markdown("# Medical Symptom Assistant")
-    gr.Markdown("Describe your symptoms below and get potential medical insights.")
-    
-    with gr.Row():
-        with gr.Column():
-            input_text = gr.Textbox(
-                label="Describe your symptoms",
-                placeholder="Example: I am feeling continuous sneezing, shivering and chills",
-                lines=4
-            )
-    
-    submit_btn = gr.Button("Get Medical Insight", variant="primary")
-    
-    with gr.Row():
-        output_text = gr.Textbox(
-            label="Medical Response",
-            lines=8
-        )
-    
-    # Set up the submission action
-    submit_btn.click(
-        fn=generate_response,
-        inputs=input_text,
-        outputs=output_text
-    )
-    
-    gr.Markdown("""
-    ### Important Note:
-    This tool provides preliminary insights only and should not replace professional medical advice.
-    Always consult with a healthcare provider for proper diagnosis and treatment.
-    
-    Model: shanover/medbot_godel_v3
-    """)
-
-# Launch the app
-demo.launch()