Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+
+if __name__ == "__main__":
+    gr.close_all()
+    
+    def inference(img, confidence):
+        print(type(img))  
+        return img
+        # img = np.array(img)
+        # _, results = vis_demo.run_on_image(img, confidence)
+        return results 
+    
+    demo = gr.Interface(
+        fn=inference,
+        inputs=[
+            gr.Image(type="pil", image_mode="RGB"),
+            gr.Number(precision=2, minimum=0.0, maximum=1.0, value=0.5)
+        ],
+        outputs="image",
+        # examples=[
+        #     ["assets/000000014226.jpg"],
+        #     ["assets/000000028449.jpg"]
+        # ]
+    )
+    demo.launch(share=True, debug=False)