Update app.py

app.py

@@ -22,11 +22,17 @@ description = """Esse modelo é uma pequena demonstração baseada em uma análi
 image = gr.inputs.Image(shape=(640, 640), image_mode="RGB", source="upload", label="Imagem", optional=False)
 outputs = gr.outputs.Image(type="pil", label="Output Image")
 
-gr.Interface(
-	fn=object_detection,
-    inputs=image,
-    outputs=outputs,
-    title=title,
-    description=description,
-    examples=[]
-                ,cache_examples=False).launch()
+gr.Interface(detect,[gr.Image(type="pil"), gr.Image(type="pil")],description="demo for <a href='https://github.com/WongKinYiu/yolov7' style='text-decoration: underline' target='_blank'>WongKinYiu/yolov7</a> Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors").launch()
+
+
+
+
+#gr.Interface(
+#	fn=object_detection,
+#    inputs=image,
+#    outputs=outputs,
+#   title="Visual Pollution Detection",
+#    description="demo for <a href='https://github.com/WongKinYiu/yolov7' style='text-decoration: underline' target='_blank'>WongKinYiu/yolov7</a> Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors",
+#    examples=[["sample_images/0a1ea4614a9df912eeb8d1b40bffee74.JPG"], ["sample_images/0a2bc0dc2371794509f4b776aff0dd88.JPG"], 
+#               ["sample_images/0a4e0e88a05abd96670c8c0c3a67fc73.JPG"], ["sample_images/0a584ddb325ed1ab4083d341280caaa8.JPG"]]
+#                ,cache_examples=False).launch()