Update app.py

app.py

@@ -15,22 +15,15 @@ def object_detection(im, size=640):
     results.render() # updates results.imgs with boxes and labels
     return Image.fromarray(results.imgs[0])
 
-title = "Visual Pollution Detection"
-description = """Esse modelo é uma pequena demonstração baseada em uma análise de cerca de 60 imagens somente. Para resultados mais confiáveis e genéricos, são necessários mais exemplos (imagens).
-  """
- 
+
 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(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/LailaMB/Smartathon_Visual_Pollution_Detection' style='text-decoration: underline' target='_blank'>Smartathon Visual Pollution Detection Model</a>. The model which was developed by AICAS_KSU team to solve the Theme1 problem of the [Smartathon](https://smartathon.hackerearth.com).,
+    description="Demo for <a href='https://github.com/LailaMB/Smartathon_Visual_Pollution_Detection' style='text-decoration: underline' target='_blank'>Smartathon Visual Pollution Detection Model</a>. The model which was developed by AICAS_KSU team to solve the Theme1 problem of the [Smartathon](https://smartathon.hackerearth.com).',
     examples=[],cache_examples=False).launch()