Update app.py

app.py

@@ -9,7 +9,6 @@ model = AutoModelForObjectDetection.from_pretrained('hustvl/yolos-small')
 def detect(image): 
     inputs = image_processor(images=image, return_tensors="pt")
     outputs = model(**inputs)
-    image = Image.open(image)
 
     # convert outputs to COCO API
     target_sizes = torch.tensor([image.size[::-1]])
@@ -28,7 +27,7 @@ def detect(image):
 
 demo = gr.Interface(
     fn=detect,
-    inputs=[gr.inputs.Image(label="Input image")],
+    inputs=[gr.inputs.Image(label="Input image", type="pil")],
     outputs=["text"], #, gr.Label(num_top_classes=10)],
     title="Object Counts in Image"
 )