Update app.py

app.py

@@ -1,10 +1,6 @@
 import torch
 from peft import PeftModel, PeftConfig
 from transformers import AutoModelForCausalLM, AutoTokenizer
-import gradio as gr
-
-# Import the specific Gradio components
-from gradio import Textbox, Interface
 
 peft_model_id = f"alimrb/eff24"
 config = PeftConfig.from_pretrained(peft_model_id)
@@ -31,11 +27,13 @@ def make_inference(product_name, product_description):
 
 if __name__ == "__main__":
     # Create a Gradio interface
-    Interface(
+    import gradio as gr
+    
+    gr.Interface(
         make_inference,
         [
-            Textbox(lines=2, label="Product Name"),
-            Textbox(lines=5, label="Product Description"),
+            gr.Textbox(lines=2, label="Product Name"),
+            gr.Textbox(lines=5, label="Product Description"),
         ],
         Textbox(label="Ad"),
         title="EFF24",