app.py

# app.py (Gradio-шлюз к VEO)
import os, gradio as gr
from huggingface_hub import InferenceClient

def text2video(prompt, hf_token=None):
    token = hf_token or os.getenv("HF_TOKEN")
    if not token:
        return None, "HF_TOKEN missing"
    client = InferenceClient(provider="fal-ai", api_key=token)
    try:
        video = client.text_to_video(prompt, model="akhaliq/veo3.1-fast")
        return (video, "video/mp4"), "OK"
    except Exception as e:
        return None, f"Error: {e}"

with gr.Blocks() as demo:
    t = gr.Textbox(label="Prompt")
    token = gr.Textbox(label="HF token (optional)", type="password")
    out = gr.Video(label="Video")
    msg = gr.Textbox(label="Status")
    gr.Button("Generate").click(text2video, [t, token], [out, msg])

if __name__ == "__main__":
    demo.launch()