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@@ -1,21 +1,25 @@
-# Use lightweight Python image
+# Base image
 FROM python:3.10-slim
 
-# Install system deps
+# System dependencies
 RUN apt-get update && apt-get install -y git ffmpeg libsndfile1 && rm -rf /var/lib/apt/lists/*
 
 # Set workdir
 WORKDIR /code
 
-# Install requirements
+# Create writable cache folder for transformers
+RUN mkdir -p /code/.cache
+ENV TRANSFORMERS_CACHE=/code/.cache
+
+# Install Python dependencies
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy app
+# Copy FastAPI app
 COPY app.py .
 
-# Expose port for HF Space
+# Expose default HF port
 EXPOSE 7860
 
-# Run with uvicorn
+# Start FastAPI
 CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

@@ -1,7 +1,5 @@
 import os
-
-# Use a folder inside your project for caching
-os.environ["TRANSFORMERS_CACHE"] = "/code/.cache"
+os.environ["TRANSFORMERS_CACHE"] = "/code/.cache"  # ensure writable cache
 
 from fastapi import FastAPI, Query
 from fastapi.responses import FileResponse
@@ -27,7 +25,7 @@ async def tts(text: str = Query(..., description="Bambara text to synthesize")):
 
     waveform = output[0]
 
-    # Save to temp file
+    # Save to temporary file
     filename = f"tts_{uuid.uuid4().hex}.wav"
     wavfile.write(filename, rate=sampling_rate, data=waveform.numpy())