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This commit introduces the functionality to generate audio embeddings using a pre-trained wav2vec2 model. The key changes include: - A new service to handle the embedding extraction. - Integration of this service into the main FastAPI application. - Updates to the test driver to use a real audio file for testing. - A typo fix in the audio preprocessing service. - Addition of and to to avoid committing large files.
This commit introduces several enhancements to the ml_v2 orchestrator service: - Adds `python-dotenv` and `psycopg2-binary` to manage environment variables and database connections. - Creates `utils/db.py` and `utils/env.py` to handle database connections and environment variable loading. - Updates the `remote_encoder.py` service to use the `ENCODER_URL` from the environment. - Adds `data_structure.txt` to document the API contract between the frontend and the ml service.
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