Create app.py

app.py

@@ -0,0 +1,32 @@
+import gradio as gr
+import torch
+from diffusers import AnimateDiffPipeline, DDIMScheduler
+from PIL import Image
+import tempfile
+import imageio
+
+# Use a public AnimateDiff-compatible model (Realistic Vision base)
+model_id = "SG161222/Realistic_Vision_V6.0_B1_noVAE"
+pipe = AnimateDiffPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe.scheduler = DDIMScheduler.from_config(pipe.scheduler.config)
+pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")
+
+def generate_video(image, prompt):
+    image = image.convert("RGB").resize((512, 512))
+    result = pipe(prompt=prompt, image=image, num_frames=16, guidance_scale=7.5)
+    frames = result.frames
+
+    video_path = tempfile.NamedTemporaryFile(suffix=".mp4", delete=False).name
+    imageio.mimsave(video_path, frames, fps=8)
+    return video_path
+
+gr.Interface(
+    fn=generate_video,
+    inputs=[
+        gr.Image(type="pil", label="Upload Image"),
+        gr.Textbox(label="Describe Motion (Prompt)")
+    ],
+    outputs=gr.Video(label="Generated Video"),
+    title="🌀 Image + Prompt to Animation",
+    description="Upload a still image and describe how you want it animated!"
+).launch()