app.py

import gradio as gr
import numpy as np
import cv2
import pickle
#from tensorflow import keras 

from stickman import image_pos_hands
from video_processing import frames_for_video, frames_to_video


def AWSL(path_video, recognition_type ):
    frames = frames_for_video(path_video)
    frames2 = [image_pos_hands(img,
                              output_image_res=(448,448)) for img in frames]
    frames_array = np.array(frames2)
    
    vid_new_path = "test.mp4"
    frames_to_video(frames2, vid_new_path)

    # model
    model_path = "./inception_stickman_50.pkl"
    #model = pickle.load(open(model_path, "rb"))

    return (vid_new_path, vid_new_path)

iface = gr.Interface(fn=AWSL, 
                     title="Video to  Recognition",
                     description="Recognition the American Sign Language and translate it into English",
                     inputs=[gr.inputs.Video(label="Upload Video File"),
                            gr.inputs.Radio(label="Choose translation", choices=['Sign', 'Sentence'])
                             ], 
                     #examples=[[test_video_path]],
                     outputs=[gr.Video(label="Generated Video"),
                              "text"])
iface.launch()