fix

Dockerfile

@@ -4,10 +4,7 @@ ENV PYTHONUNBUFFERED=1 \
     PIP_NO_CACHE_DIR=1 \
     HF_HOME=/data/cache
 
-# System deps (ffmpeg required by TTS)
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    ffmpeg git curl ca-certificates && \
-    rm -rf /var/lib/apt/lists/*
+RUN apt-get update
 
 WORKDIR /app
 

README.md

@@ -9,37 +9,4 @@ pinned: false
 ---
 
 # XTTS v2 FastAPI Space
-
-FastAPI service exposing XTTS v2 for text-to-speech and voice cloning.
-
-## Endpoints
-- `POST /health` → `{ status: "ok", model: "xtts_v2", device: "cuda|cpu" }`
-- `POST /generate` → returns `audio/wav` bytes
-
-## Auth
-Send header `x-api-key: $SPACE_API_KEY` (set this secret in Space settings).
-
-## Request body (`/generate`)
-```json
-{
-  "text": "Hello from XTTS",
-  "speaker_wav": "https://.../sample.wav or base64 string",
-  "language": "en"
-}
-```
-
-## Smoke tests
-```bash
-curl -X POST https://<space>.hf.space/health \
-  -H "x-api-key: $SPACE_API_KEY"
-
-curl -X POST https://<space>.hf.space/generate \
-  -H "Content-Type: application/json" \
-  -H "x-api-key: $SPACE_API_KEY" \
-  -d '{"text":"Hello from XTTS","speaker_wav":"https://.../sample.wav"}' \
-  --output out.wav
-```
-
-## Notes
-- Hardware: request T4 GPU for best latency (CPU works but slower).
-- Env vars for clients: `HF_SPACES_API_URL`, `HF_SPACES_API_KEY`.
+...

requirements.txt

@@ -4,7 +4,7 @@ uvicorn==0.24.0
 python-multipart==0.0.6
 requests==2.31.0
 numpy==1.26.4
-
+uv
 # Use CPU wheels by default; HF GPU image will still use CUDA when available.
 torch==2.1.0 --index-url https://download.pytorch.org/whl/cpu
 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cpu

spaces.yaml

@@ -1,4 +1,3 @@
 title: xtts-v2-api
 sdk: docker
-python_version: 3.10
-app_file: app.py
+dockerfile: Dockerfile