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import gradio as gr
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()
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