Create app.py

app.py

@@ -0,0 +1,82 @@
+# 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)