fix

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 import requests
+from io import BytesIO
 
 # def abnormal(image):
 #     if (image is None) or (image == ''):
@@ -35,15 +36,18 @@ import requests
 
 def abnormal_stream(image):
     try:
-        with open(image, 'rb') as f:
-            r = requests.post(
-                'https://6a051cv20250210-prediction.cognitiveservices.azure.com/customvision/v3.0/Prediction/29f565b7-4710-47a5-8a47-723048ff7ec9/classify/iterations/Iteration2/image',
-                headers={
-                    'Prediction-Key': '8uyKSiqRNbG2JLdMjI8AeOzADtORP3jRh5klqQr0JsJrBBt7x7iPJQQJ99BBACYeBjFXJ3w3AAAIACOGHg4K',
-                    'Content-Type': 'application/octet-stream',
-                },
-                data=f.read(),
-            )
+        byte_io = BytesIO()
+        image.save(byte_io, 'png')
+        byte_io.seek(0)
+
+        r = requests.post(
+            'https://6a051cv20250210-prediction.cognitiveservices.azure.com/customvision/v3.0/Prediction/29f565b7-4710-47a5-8a47-723048ff7ec9/classify/iterations/Iteration2/image',
+            headers={
+                'Prediction-Key': '8uyKSiqRNbG2JLdMjI8AeOzADtORP3jRh5klqQr0JsJrBBt7x7iPJQQJ99BBACYeBjFXJ3w3AAAIACOGHg4K',
+                'Content-Type': 'image/png',
+            },
+            data=byte_io,
+        )
 
         if r.status_code != 200:
             return {'확인불가': 1.0, r.status_code: 0.0, r.text: 0.0}
@@ -58,12 +62,12 @@ def abnormal_stream(image):
         return output_dict
 
     except Exception as e:
-        return {[str(e)]: 1.0}
+        return {str(e): 1.0}
 
 with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column():
-            input_img = gr.Image(sources=["webcam"], type="filepath")
+            input_img = gr.Image(sources=["webcam"], type="pil")
         with gr.Column():
             output_label = gr.Label()
         dep = input_img.stream(abnormal_stream, [input_img], [output_label])