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Create app.py
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app.py
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# app.py (Gradio-шлюз к VEO)
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import os, gradio as gr
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from huggingface_hub import InferenceClient
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def text2video(prompt, hf_token=None):
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token = hf_token or os.getenv("HF_TOKEN")
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if not token:
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return None, "HF_TOKEN missing"
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client = InferenceClient(provider="fal-ai", api_key=token)
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try:
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video = client.text_to_video(prompt, model="akhaliq/veo3.1-fast")
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return (video, "video/mp4"), "OK"
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except Exception as e:
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return None, f"Error: {e}"
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with gr.Blocks() as demo:
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t = gr.Textbox(label="Prompt")
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token = gr.Textbox(label="HF token (optional)", type="password")
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out = gr.Video(label="Video")
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msg = gr.Textbox(label="Status")
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gr.Button("Generate").click(text2video, [t, token], [out, msg])
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if __name__ == "__main__":
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demo.launch()
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