Add app, requirements, and model checkpoint

app.py

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+import subprocess, uuid, os
+from pathlib import Path
+import gradio as gr
+
+# --- CONFIG ---------------------------------------------------------------
+CKPT_PATH = "checkpoints/t2m_50step.pt"   # you already uploaded this
+DEVICE    = "cpu"                         # free HF Spaces have no GPU
+# --------------------------------------------------------------------------
+
+
+def generate_motion(prompt: str) -> str:
+    """
+    Calls the repo’s built-in inference script and returns the path to
+    the generated BVH file so Gradio can hand it to the user.
+    """
+    out_file = Path("/tmp") / f"{uuid.uuid4().hex}.bvh"
+
+    cmd = [
+        "python",
+        "-m",
+        "motion_diffusion_model.sample.generate",   # script in the repo
+        "--model_path", CKPT_PATH,
+        "--prompt", prompt,
+        "--output", str(out_file),
+        "--device", DEVICE,
+        "--num_steps", "50"                         # matches the checkpoint
+    ]
+
+    # Run the subprocess and surface errors cleanly in the UI
+    completed = subprocess.run(cmd, capture_output=True, text=True)
+    if completed.returncode != 0:
+        raise RuntimeError(f"Inference failed:\n{completed.stderr}")
+
+    return str(out_file)
+
+
+# ----------------- GRADIO UI ------------------------------------------------
+iface = gr.Interface(
+    fn=generate_motion,
+    inputs=gr.Textbox(lines=2, placeholder="e.g. a person walks and waves"),
+    outputs=gr.File(label="Download BVH"),
+    title="Text-to-Motion (MDM – 50-step)",
+    description="Enter a natural-language description to generate a 3-D human-motion BVH file.",
+)
+
+if __name__ == "__main__":
+    iface.launch()

checkpoints/t2m_50step.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0fbdc8547c8f262b8838645586790b55f983d90db3bb7ed58e4b5d49429587ca
+size 81818987

requirements.txt

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+# Core runtime
+torch>=2.0           # PyTorch
+gradio               # Web UI + simple REST endpoint
+
+# Pull the Motion-Diffusion-Model repo at build time
+git+https://github.com/GuyTevet/motion-diffusion-model.git