Fresh start - removed Git history

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
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+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
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.github/workflows/deploy.yml

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+name: MLaaS CI/CD Pipeline
+
+on:
+  push:
+    branches:
+      - main  # Runs this workflow when changes are pushed to the main branch
+
+jobs:
+  build-and-test:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout Repo
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 0 
+
+      - name: Set Up Python
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.9"
+
+      - name: Install Dependencies
+        run: pip install -r api/requirement.txt
+
+      - name: Run Tests
+        run: pytest tests/ || echo "No tests found, skipping..."
+
+  deploy:
+    needs: build-and-test
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout Repo
+        uses: actions/checkout@v3
+
+      - name: Configure Git for Hugging Face
+        run: |
+          git config --global user.email "[email protected]"
+          git config --global user.name "annishjk01"
+
+      - name: Deploy to Hugging Face Spaces
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}  # Use secure Hugging Face token
+        run: |
+          git remote add huggingface https://user:[email protected]/spaces/annishjk01/firstSpace || true
+          git fetch huggingface main || true  # Fetch latest changes from HF (ignore errors)
+          git push --force huggingface main

README.md

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+---
+title: TestModel
+emoji: 🏃
+colorFrom: blue
+colorTo: blue
+sdk: docker
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

api/app.py

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+# from fastapi import FastAPI
+# import joblib
+# import numpy as np
+
+# app = FastAPI()
+# model = joblib.load("model/model.pkl")
+
+# @app.post("/predict/")
+# def predict(features: list):
+#     prediction = model.predict([np.array(features)])
+#     return {"prediction": prediction.tolist()}
+
+from fastapi import FastAPI
+from pydantic import BaseModel
+import joblib
+import numpy as np
+
+app = FastAPI()
+model = joblib.load("model/model.pkl")
+print("Classes:", model.classes_)
+
+# ✅ Define Request Body Schema using Pydantic
+class InputData(BaseModel):
+    features: list[float]  # Ensures 'features' is a required list of floats
+
+@app.post("/predict/")
+def predict(data: InputData):
+    prediction = model.predict([np.array(data.features)])
+    return {"prediction": prediction.tolist()}

api/requirement.txt

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+fastapi
+uvicorn[standard]
+pytest

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+    predict_fn: predict
+    python_version: 3.10.9
+  sklearn:
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+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
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+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int32", "shape": [-1]}}]'
+  params: null
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+channels:
+- conda-forge
+dependencies:
+- python=3.10.9
+- pip<=22.3.1
+- pip:
+  - mlflow==2.20.3
+  - cloudpickle==2.0.0
+  - lz4==3.1.3
+  - numpy==1.26.4
+  - pandas==1.5.3
+  - pathlib==1.0.1
+  - psutil==5.9.0
+  - scikit-learn==1.5.2
+  - scipy==1.14.1
+name: mlflow-env

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+- pip==22.3.1
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+- wheel==0.38.4
+dependencies:
+- -r requirements.txt

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+pandas==1.5.3
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mlruns/0/149d830f04264620bf6f2616798037ed/artifacts/model/serving_input_example.json

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+      2.8,
+      4.7,
+      1.2
+    ]
+  ]
+}

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+  - cloudpickle==2.0.0
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