try2

app.py

@@ -290,19 +290,31 @@ if __name__ == "__main__":
     # except Exception:
     #     print("gradio:", gr.__version__)
 
-    demo = gr.Interface(
-        fn=safe_gradio_wrapper,
-        inputs=gr.Image(type="pil", label="Upload Image"),
-        outputs=gr.Image(type="pil", label="Generated Emoji"),
-        title="DTN Face-to-Emoji Generator"
-    )
+    with gr.Blocks(title="DTN Face-to-Emoji Generator") as demo:
+        gr.Markdown("# DTN Face-to-Emoji Generator")
         
-    # demo = gr.Interface(
-    #     fn=generate_emoji_fixed,
-    #     inputs=gr.Image(type="pil", label="Upload Image"),
-    #     outputs=gr.Image(type="pil", label="Generated Emoji"),
-    #     title="DTN Face-to-Emoji Generator"
-    # )
+        with gr.Row():
+            input_image = gr.Image(label="Upload Image", type="pil")
+            output_image = gr.Image(label="Generated Emoji", type="pil")
+        
+        submit_btn = gr.Button("Generate Emoji", variant="primary")
+        submit_btn.click(
+            fn=safe_gradio_wrapper,
+            inputs=[input_image],
+            outputs=[output_image]
+        )
+        
+    # with gr.Blocks() as demo:
+    #     with gr.Row():
+    #         input_image = gr.Image(label="Upload Image")
+    #         output_image = gr.Image(label="Generated Emoji")
+        
+    #     submit_btn = gr.Button("Generate Emoji")
+    #     submit_btn.click(
+    #         fn=generate_emoji_fixed,
+    #         inputs=[input_image],
+    #         outputs=[output_image]
+    #     )
 
 
     print("✅ Gradio interface created!")

requirements.txt

@@ -1,11 +1,14 @@
 torch
-torchvision
+torchvision  
 pillow
 huggingface_hub
 matplotlib
 opencv-python
 facenet-pytorch
 requests
-fastapi
+numpy
+pydantic==2.10.6
+gradio==4.44.0
+gradio-client==1.3.0
+fastapi==0.112.4
 uvicorn
-numpy