Update app.py

app.py

@@ -47,11 +47,11 @@ def load_model2():
 
 def predict(pilimg):
     # Check if the input is an image or a video
-    if isinstance(pilimg, np.ndarray):  # Input is an image
+    #if isinstance(pilimg, np.ndarray):  # Input is an image
         image_np = pil_image_as_numpy_array(pilimg)
         return predict2(image_np)
-    else:
-        print("This is video file")
+   # else:
+       # print("This is video file")
 
 def predict2(image_np):
 
@@ -89,6 +89,6 @@ detection_model = load_model()
 # predicted_img.save('predicted.jpg')
 
 gr.Interface(fn=predict,
-             inputs=[gr.Image(type="pil"),gr.Video()],
-             outputs=[gr.Image(type="pil"),gr.Video()]
+             inputs=gr.Image(type="pil"),
+             outputs=gr.Image(type="pil")
              ).launch(share=True)