app.py

import gradio as gr
import spaces
import torch

zero = torch.Tensor([0]).cuda()
print(zero.device) # <-- 'cpu' 🤔

@spaces.GPU
def greet(n):
    print(zero.device) # <-- 'cuda:0' 🤗
    return f"Hello {zero + n} Tensor"

def one_shot(image_in,input_text,gender):
    print("Hello")
    return "htllo123"

    
def run():
  with gr.Blocks(css=".gradio-container {background-color: lightgray} #radio_div {background-color: #FFD8B4; font-size: 40px;}") as demo:
    gr.Markdown("<h1 style='text-align: center;'>"+ "One Shot Talking Face from Text" + "</h1><br/><br/>")
    with gr.Group():
      # with gr.Box():
        with gr.Row():
        # with gr.Row().style(equal_height=True):
          image_in = gr.Image(show_label=True, type="filepath",label="Input Image")
          input_text = gr.Textbox(show_label=True,label="Input Text")
          gender = gr.Radio(["Female","Male"],value="Female",label="Gender")
          video_out = gr.Video(show_label=True,label="Output")
        with gr.Row():
        # with gr.Row().style(equal_height=True):
          btn = gr.Button("Generate")   
    # gr.Markdown(
    #         """
    #         <p style='text-align: center;'>Feel free to give us your thoughts on this demo and please contact us at 
    #                 <a href="mailto:[email protected]" target="_blank">[email protected]</a> 
    #                 <p style='text-align: center;'>Developed by: <a href="https://www.pragnakalp.com" target="_blank">Pragnakalp Techlabs</a></p>

    #         """)

    btn.click(one_shot, inputs=[image_in,input_text,gender], outputs=[video_out])
    demo.queue()
    demo.launch(server_name="0.0.0.0", server_port=7860)

if __name__ == "__main__":
    run()