Ci pipeline setup - #23
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…esolve FastAPI and Pydantic compatibility, clean Docker cache, update requirements, run Docker Compose with Python 3.12, troubleshoot and document prediction server deployment
…anup, merge, and push - Updated requirements.txt and requirements lockfiles to resolve FastAPI, Starlette, and Pydantic dependency issues for BentoML stack - Edited and rebuilt Dockerfile to force correct pydantic version and display dependency versions for debugging - Cleaned Docker build cache and pruned images to force a clean build - Investigated and fixed Python version compatibility issues (plan to downgrade to 3.10 for BentoML stack) - Ran pip list in running prediction-server container to verify package installation - Used git rm --cached -r to remove unwanted nested repo from index - Pulled latest changes from remote, handled merge conflicts (train_model.py), committed merge, and prepped for push - Documented the process and ensured all steps followed for reproducibility and transparency
…lete Prometheus & keep only Prometheus integrated in bentoML
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