Fix: Remove conflicting gradio-client version constraint

app.py

@@ -134,64 +134,68 @@ def format_example_output():
     return json.dumps(example, indent=2)
 
 # Gradio 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"
-            )
+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.Column():
-            output_text = gr.Textbox(
-                label="📋 Generated Listing",
-                lines=15,
-                placeholder="Upload an image and click 'Generate Listing' to see results..."
+        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"
             )
-    
-    # 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(
+            fn=generate_listing,
+            inputs=[image_input, prompt_input],
+            outputs=output_text
         )
+        
+        # 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)
+        """)
     
-    # Event handler
-    generate_btn.click(
-        fn=generate_listing,
-        inputs=[image_input, prompt_input],
-        outputs=output_text
-    )
-    
-    # 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)

requirements.txt

@@ -1,7 +1,7 @@
 transformers>=4.44.0
 peft>=0.10.0
 accelerate>=0.24.0
-gradio>=4.38.0  # or gradio==4.35.0
+gradio==4.44.0
 torch>=2.0.0
 torchvision>=0.15.0
 Pillow>=9.0.0