app.py

import gradio as gr
import requests
from predict import image_inference,video_inference

import gdown


path = [['image.jpg'],]
video_path = [['video_.mp4']]
# downloading vide example
url = "https://drive.google.com/file/d/1reSYnmarjdmDfR1QFK3NBHzJ5q_8Kyia/view?usp=sharing"
output = "video_.mp4"
gdown.download(url, output, quiet=False)

#image = cv2.imwrite('output.jpg', show_preds_image(path))
inputs_image = [
    gr.components.Image(type="filepath", label="Input Image"),
]
outputs_image = [
    gr.components.Image(type="numpy", label="Output Image"),
]
image_interface = gr.Interface(
    fn=image_inference,
    inputs=inputs_image,
    outputs=outputs_image,
    title="Arab Sign Language Detection app",
    examples=path,
    cache_examples=False,
)#.launch(share=True)
inputs_video = [
    gr.components.Video(type='filepath',label='Input Video'),
]
outputs_video = [
    gr.components.Image(type='numpy',label='Output Video')
]
interface_video = gr.Interface(
    fn=video_inference,
    inputs=inputs_video,
    outputs=outputs_video,
    title="Arab Sign Language Detection app",
    examples=video_path
)
gr.TabbedInterface(
    [image_interface, interface_video],
    tab_names=['Image inference', 'Video inference']
).queue().launch()