Update app/main.py

Update app/main.py

Update app/main.py

Update app/main.py

Update app/main.py

Update app/main.py

Update app/main.py

Update app/main.py

Update app/main.py

Fix Gradio permission error by setting GRADIO_TEMP_DIR to /tmp

Add fallback logic to handle PyTorch models and find actual model files - Add manual download fallback when from_pretrained_fastai fails - List repository files to find .pkl or .pt files - Provide clear error message for PyTorch models

Integrate FastAI colorization with Firebase auth and Gradio UI - Replace main.py with FastAI implementation - Add Gradio interface for Space UI - Add Firebase authentication to /colorize endpoint - Add curl examples documentation - Update test.py with User-Agent headers

Fix cache directory permissions and OMP_NUM_THREADS warnings - Set HF cache env vars before imports - Set MPLCONFIGDIR for matplotlib - Fix OMP_NUM_THREADS in Dockerfile

Switch to FastAI GAN colorization model (Hammad712/GAN-Colorization-Model)

Update cache paths to use /tmp

Align pipeline with text-guided colorization Space

Fix colorize pipeline call and fallback storage directories

Fix model loading: use /data for HF cache directory instead of /app/data

fix(runtime): use /data for uploads/results and write Firebase creds to /data; set DATA_DIR and OMP_NUM_THREADS

update Postman collection

Deploy: HF cache dir, img2img fallback, auth bypass, root route

feat(auth): accept Firebase Auth id_token (Authorization Bearer) in addition to App Check; add Postman collection and test script; default MODEL_ID to ControlNet color

Remove unused cv2 import and pin numpy version for compatibility

Initial commit: Colorize API with Firebase App Check integration