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| title: AI Text Summarizer | |
| emoji: 📝 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: docker | |
| app_file: app.py | |
| pinned: false | |
| # AI_Summarizer | |
| ## Workflows | |
| 1. Update Config.yaml | |
| 2. Update params.yaml | |
| 3. Update entity | |
| 4. Update the configuration manager in the src config | |
| 5. Update the components | |
| 6. Update the pipeline | |
| 7. Update the main.py | |
| 8. Update the app.py | |
| ## Hugging Face Spaces runtime notes | |
| - The app now sets Hugging Face cache paths at startup: | |
| - `HF_HOME=/data/cache` (fallback: `/tmp/hf_cache`) | |
| - `TRANSFORMERS_CACHE=/data/cache` | |
| - `HF_HUB_CACHE=/data/cache/hub` | |
| - This avoids recurring corrupted tokenizer snapshots in ephemeral `/tmp` cache. | |
| ### Useful environment variables | |
| - `MODEL_LOAD_MAX_ATTEMPTS` (default `3`): number of startup retries for model load. | |
| - `MODEL_LOAD_RETRY_DELAY` (default `8`): seconds between retries. | |
| - `RESET_HF_CACHE_ON_START` (default `0`): set to `1` for a one-time cache reset if startup keeps failing. | |
| ### Recommended recovery procedure | |
| 1. Set `RESET_HF_CACHE_ON_START=1`. | |
| 2. Trigger a new Space build/restart. | |
| 3. After healthy startup, set `RESET_HF_CACHE_ON_START=0`. | |