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# app.py
import os
import gradio as gr
from gradio_client import Client
from PIL import Image
import io
# Replace with your actual Veo 3 access via CometAPI or Vertex AI key
# For demo, using public HF Space proxy (update with your token if needed)
HF_SPACE_URL = "https://huggingface.co/spaces/akhaliq/veo3.1-fast" # From search results
client = Client(HF_SPACE_URL)
def generate_video(prompt, image=None, audio_prompt=None):
"""
Generate Veo 3 video from text/image prompt with optional audio.
Uses HF Space client for inference.
"""
try:
# Prepare inputs: text prompt, optional image bytes, audio description
inputs = {"prompt": prompt}
if image:
# Convert PIL Image to bytes for upload
img_buffer = io.BytesIO()
image.save(img_buffer, format='PNG')
img_buffer.seek(0)
inputs["image"] = img_buffer
if audio_prompt:
inputs["audio_prompt"] = audio_prompt
# Submit job to HF Space (Veo 3 proxy)
job = client.submit(**inputs, api_name="/predict")
video_path = job.outputs()[0] # Returns video file path/URL
return video_path
except Exception as e:
return f"Error: {str(e)}"
# Gradio Interface with multi-modal support
with gr.Blocks(title="Veo 3 Generator") as demo:
gr.Markdown("# Veo 3 Video Generator\nGenerate videos with image/audio support via Hugging Face")
with gr.Row():
with gr.Column(scale=1):
text_prompt = gr.Textbox(
label="Text Prompt",
placeholder="A futuristic cityscape at night with flying cars...",
lines=3
)
image_input = gr.Image(
label="Reference Image (Optional)",
type="pil"
)
audio_prompt = gr.Textbox(
label="Audio Prompt (Optional)",
placeholder="Add ambient city sounds and engine hums"
)
generate_btn = gr.Button("Generate Video", variant="primary")
with gr.Column(scale=1):
video_output = gr.Video(label="Generated Video")
status = gr.Textbox(label="Status", interactive=False)
# Event handler
generate_btn.click(
fn=generate_video,
inputs=[text_prompt, image_input, audio_prompt],
outputs=[video_output, status],
show_progress=True
)
gr.Examples(
examples=[
["A cat playing piano", None, "Soft piano music with meows"],
[None, "path/to/your/image.jpg", "Animate with ocean waves"],
],
inputs=[text_prompt, image_input, audio_prompt]
)
if __name__ == "__main__":
demo.launch(server_name="0.0.0.0", server_port=7860, share=True)
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