local pass

Dockerfile

@@ -3,24 +3,30 @@ FROM python:3.10-slim
 ENV PYTHONUNBUFFERED=1 \
     PIP_NO_CACHE_DIR=1
 
-# System deps
+# Install only required system libs
 RUN apt-get update && apt-get install -y --no-install-recommends \
-    ffmpeg libsm6 libxext6 libgl1 git git-lfs \
+    ffmpeg \
+    libsm6 \
+    libxext6 \
+    libgl1 \
+    git \
+    git-lfs \
     && rm -rf /var/lib/apt/lists/* \
     && git lfs install
 
 WORKDIR /app
 
-# ---------- Cache heavy PIP layer ----------
+# Install dependencies first for layer caching
 COPY requirements.txt .
 RUN pip install --upgrade pip && \
     pip install -r requirements.txt && \
     pip install "gradio[oauth,mcp]==6.0.1" uvicorn spaces
 
-# ---------- Only copy app code ----------
+# Copy source
 COPY . .
 
 EXPOSE 7860
 ENV PORT=7860
 
-CMD ["python", "app.py"]
+# HF Spaces expect uvicorn here — NOT inside app.py
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -3,12 +3,12 @@ title: Avatar MCP
 emoji: 🚀
 colorFrom: pink
 colorTo: purple
-sdk: gradio
-app_file: app.py
+sdk: docker
 pinned: false
 python_version: "3.10"
+app_file: Dockerfile
 license: mit
-short_description: Digital avatar with MCP, images, and low-latency chat
+short_description: Digital avatar system with persistent identity, MCP tools, and image generation.
 ---
 
 # Avatar Persona Space

app.py

@@ -453,14 +453,22 @@ with gr.Blocks() as ui:
 # ----------------------------------------------------
 # Export ASGI app for Hugging Face Spaces
 # ----------------------------------------------------
-# Mount Gradio UI at /ui so FastAPI "/" stays alive
+# Mount Gradio UI at "/" so FastAPI lives at /mcp/*
 # ----------------------------------------------------
 
 app = gr.mount_gradio_app(fastapi_app, ui, path="/")
 
-# Always run uvicorn in Docker/HF
-if __name__ == "__main__":
+# ----------------------------------------------------
+# Local-only server runner
+# ----------------------------------------------------
+# HuggingFace Spaces sets SPACE_ID → DO NOT run uvicorn here.
+# Dockerfile CMD will run uvicorn in HF.
+# Local Python execution ("python app.py") WILL run uvicorn.
+# ----------------------------------------------------
+
+if __name__ == "__main__" and not os.getenv("SPACE_ID"):
     import uvicorn
     port = int(os.getenv("PORT", "7860"))
-    print(f"Starting uvicorn on {port}...")
+    print(f"Starting local uvicorn on {port}...")
     uvicorn.run(app, host="0.0.0.0", port=port)
+