Update app.py

app.py

@@ -162,7 +162,7 @@ def video_fn(video_in_filepath):
         cv2.waitKey(1)
         return video_out_filepath
 
-REPO_ID = "23b719w/assignment2_tfodmodel"
+REPO_ID = "23b719w/assignment2tfod_model2"
 detection_model = load_model()
 # pil_image = Image.open(image_path)
 # image_arr = pil_image_as_numpy_array(pil_image)
@@ -171,8 +171,8 @@ detection_model = load_model()
 # predicted_img.save('predicted.jpg')
 
 gr.Interface(fn=predict,
-             inputs=[gr.Image(type="pil",label="Input Image",height=500,width=500),gr.Video(label="Input Video",height=500,width=500),gr.Textbox(placeholder="0.50",label="Set the confidence threshold (0.00-1.00)")],
-             outputs=[gr.Image(type="pil",label="Output Image",height=500,width=500),gr.Video(label="Output Video",height=500,width=500)], 
+             inputs=[gr.Image(type="pil",label="Input Image",height=500,width=800),gr.Video(label="Input Video",height=500,width=800),gr.Textbox(placeholder="0.50",label="Set the confidence threshold (0.00-1.00)")],
+             outputs=[gr.Image(type="pil",label="Output Image",height=500,width=800),gr.Video(label="Output Video",height=500,width=800)], 
              title="Facemask & Glasses",
              description="Model: ssd_mobilenet_v2_320x320",
              theme=gr.themes.Soft(primary_hue="blue", secondary_hue="sky"),