Update app.py

app.py

@@ -1,65 +1,21 @@
 import gradio as gr
 import cv2
+import numpy as np
+invideo = cv2.VideoCapture('https://www.youtube.com/watch?v=5WbClF6WXRE')
+cv2.namedWindow('Live cam',cv.WINDOW_NORMAL)
+if not invideo.isOpened():
+    print("Cannot open camera")
+    exit()
+while True:
+    # Capture frame-by-frame
+    read_correct, frame = invideo.read()
+    if not read_correct:
+        print("cannot read correctly")
+        break
+    cv2.imshow('Video Capture from Camera', frame)
+    if cv.waitKey(25) == ord('q'):
+        break
+invideo.release()
+cv.destroyAllWindows()
 
-def color_to_gray(img):
-    new_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
-    return new_img
 
-
-
-def predict(video_in, image_in_video, image_in_img):
-    if video_in == None and image_in_video == None and image_in_img == None:
-        raise gr.Error("Please upload a video or image.")
-    if image_in_video or image_in_img:
-        print("image", image_in_video, image_in_img)
-        image = image_in_video or image_in_img
-        return image
-
-    return video_in
-
-
-def toggle(choice):
-    if choice == "webcam":
-        return gr.update(visible=True, value=None), gr.update(visible=False, value=None)
-    else:
-        return gr.update(visible=False, value=None), gr.update(visible=True, value=None)
-
-
-with gr.Blocks() as blocks:
-    gr.Markdown("### Video or Image? WebCam or Upload?""")
-    with gr.Tab("Video") as tab:
-        with gr.Row():
-            with gr.Column():
-                video_or_file_opt = gr.Radio(["webcam", "upload"], value="webcam",
-                                             label="How would you like to upload your video?")
-                video_in = gr.Video(source="webcam", include_audio=False)
-                video_or_file_opt.change(fn=lambda s: gr.update(source=s, value=None), inputs=video_or_file_opt,
-                                         outputs=video_in, queue=False, show_progress=False)
-            with gr.Column():
-                video_out = gr.Video()
-        run_btn = gr.Button("Run")
-        run_btn.click(fn=predict, inputs=[video_in], outputs=[video_out])
-        gr.Examples(fn=predict, examples=[], inputs=[
-                    video_in], outputs=[video_out])
-
-    with gr.Tab("Image"):
-        with gr.Row():
-            with gr.Column():
-                image_or_file_opt = gr.Radio(["webcam", "file"], value="webcam",
-                                             label="How would you like to upload your image?")
-                image_in_video = gr.Image(source="webcam", type="filepath")
-                image_in_img = gr.Image(
-                    source="upload", visible=False, type="filepath")
-
-                image_or_file_opt.change(fn=toggle, inputs=[image_or_file_opt],
-                                         outputs=[image_in_video, image_in_img], queue=False, show_progress=False)
-            with gr.Column():
-                image_out = gr.Image()
-        run_btn = gr.Button("Run")
-        run_btn.click(fn=predict, inputs=[
-                      image_in_img, image_in_video], outputs=[image_out])
-        gr.Examples(fn=predict, examples=[],  inputs=[
-                    image_in_img, image_in_video], outputs=[image_out])
-
-blocks.queue()
-blocks.launch()