Fix: upgrade to resolve TypeError

app.py

@@ -134,68 +134,34 @@ def format_example_output():
     return json.dumps(example, indent=2)
 
 # Gradio Interface
-def create_interface():
-    with gr.Blocks(theme=gr.themes.Soft(), title="Amazon Listing Generator") as demo:
-        gr.Markdown("""
-        # 🛒 Qwen2-VL Amazon Listing Generator (LoRA)
-        
-        Upload a product image and generate an Amazon-style listing with title, bullet points, description, keywords, and category.
-        
-        **Model**: [soupstick/qwen2vl-amazon-ft-lora](https://huggingface.co/soupstick/qwen2vl-amazon-ft-lora) (Qwen2-VL-7B + LoRA)
-        """)
-        
-        with gr.Row():
-            with gr.Column():
-                image_input = gr.Image(
-                    type="pil", 
-                    label="📸 Upload Product Image",
-                    height=300
-                )
-                prompt_input = gr.Textbox(
-                    label="📝 Instruction (Optional)",
-                    value="Generate Amazon listing.",
-                    placeholder="Enter custom instruction or use default",
-                    lines=2
-                )
-                generate_btn = gr.Button(
-                    "🚀 Generate Listing", 
-                    variant="primary",
-                    size="lg"
-                )
-            
-            with gr.Column():
-                output_text = gr.Textbox(
-                    label="📋 Generated Listing",
-                    lines=15,
-                    placeholder="Upload an image and click 'Generate Listing' to see results..."
-                )
-        
-        # Example section
-        with gr.Accordion("📋 Expected Output Format", open=False):
-            gr.Code(
-                format_example_output(),
-                language="json",
-                label="Example JSON Structure"
-            )
-        
-        # Event handler
-        generate_btn.click(
+ def create_interface():
+    if hasattr(gr, 'Blocks'):
+        # Preferred Blocks layout (with theme if available)
+        theme_obj = None
+        try:
+            theme_obj = gr.themes.Soft()
+        except Exception:
+            theme_obj = None
+        with gr.Blocks(theme=theme_obj, title="Amazon Listing Generator") as demo:
+            generate_btn.click(
+                 fn=generate_listing,
+                 inputs=[image_input, prompt_input],
+                 outputs=output_text,
+                 api_name=False)
+    else:
+        # Fallback: simple Interface if gr.Blocks is unavailable
+        image_input = gr.Image(type='pil', label='📸 Upload Product Image', height=300, sources=['upload'])
+        prompt_input = gr.Textbox(label='📝 Instruction (Optional)', value='Generate Amazon listing.', lines=2)
+        output_text = gr.Textbox(label='📋 Generated Listing', lines=15)
+        demo = gr.Interface(
             fn=generate_listing,
             inputs=[image_input, prompt_input],
-            outputs=output_text
+            outputs=output_text,
+            title='Amazon Listing Generator',
+            description='Upload a product image and optionally an instruction to generate an Amazon listing.'
         )
-        
-        # Footer
-        gr.Markdown("""
-        ---
-        **⚠️ Note**: This demo runs on CPU which may take 1-2 minutes per generation. 
-        For faster inference, consider upgrading to GPU hardware.
-        
-        **🔗 Links**: [Model Card](https://huggingface.co/soupstick/qwen2vl-amazon-ft-lora) | [Base Model](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct)
-        """)
-    
     return demo
 
 if __name__ == "__main__":
     demo = create_interface()
-    demo.launch(share=True)
+    demo.launch(share=True, show_api=False)

requirements.txt

@@ -1,6 +1,5 @@
---extra-index-url https://download.pytorch.org/whl/cpu
-gradio>=4.44.1
-gradio-client>=1.3.0
+gradio>=5.4.0,<6.0.0
+gradio==4.44.0
 transformers>=4.44.0
 peft>=0.10.0
 accelerate>=0.24.0