app.py

import os
os.system("git clone https://github.com/Begineer17/Short-Video-Generator.git")
os.system("cd Short-Video-Generator")
os.system("pip install -r Short-Video-Generator/requirements.txt")
os.system("pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118")
import gradio as gr
import torch
import subprocess


device = "cuda" if torch.cuda.is_available() else "cpu"

def infer():

    subprocess.call("make_original_video.bat")
    file_path = f"result/melody.mp4"
    return file_path

if torch.cuda.is_available():
    power_device = "GPU"
else:
    power_device = "CPU"

with gr.Blocks() as demo:

    with gr.Column(elem_id="col-container"):
        gr.Markdown(f"""
        #      Short Video Generator
        -- Click run to generate video --

        Currently running on {power_device}.
        """)

        with gr.Row():
            run_button = gr.Button("Run", scale=0)

        result = gr.Video()


        run_button.click(
            fn = infer,
            inputs = [],
            outputs = [result]
        )

demo.queue().launch(share=True)