Create app.py

app.py

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+import gradio as gr
+from huggingface_hub import hf_hub_download
+
+# Example: download a model file (for now it just downloads, no inference yet)
+model_path = hf_hub_download(
+    repo_id="calcuis/wan2-gguf",
+    filename="Q4_0.gguf",  # pick a quantized version
+    local_dir="models"
+)
+
+# Placeholder function (later we’ll replace with real model inference)
+def generate_video(prompt):
+    return "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/video-placeholder.mp4"
+
+demo = gr.Interface(
+    fn=generate_video,
+    inputs=gr.Textbox(label="Prompt"),
+    outputs=gr.Video(label="Generated Video"),
+    title="WAN2 Text-to-Video API",
+    description="Enter a text prompt and get back a generated video (placeholder for now)"
+)
+
+if __name__ == "__main__":
+    demo.launch()