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Dockerfile

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+FROM python:3.9
+
+RUN useradd -m -u 1000 user
+USER user
+ENV PATH="/home/user/.local/bin:$PATH"
+
+WORKDIR /app
+
+COPY --chown=user ./requirements.txt requirements.txt
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
+
+COPY --chown=user . /app
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

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+from fastapi import FastAPI
+import joblib
+import uvicorn
+
+app = FastAPI()
+
+model = joblib.load('ridge_model.pkl')
+poly = joblib.load('polynomial_transformer.pkl')
+
+def predict_corrected_rank(percentile: float, total_candidates: int) -> float:
+    # Calculate initial predicted rank using the formula
+    predicted_rank = ((100 - percentile) * total_candidates) / 100
+    # Predict correction factor using the polynomial regression model
+    percentile_poly = poly.transform([[percentile]])
+    predicted_correction = model.predict(percentile_poly)[0][0]
+    # Adjust the predicted rank with the correction factor
+    corrected_rank = predicted_rank + predicted_correction
+    # Ensure the rank does not exceed the total number of candidates or become negative
+    corrected_rank = max(1, min(corrected_rank, total_candidates))
+    return corrected_rank
+
+
+@app.get("/predict")
+def get_corrected_rank(percentile: float, total_candidates: int):
+    corrected_rank = predict_corrected_rank(percentile, total_candidates)
+    return {"percentile": percentile, "total_candidates": total_candidates, "corrected_rank": corrected_rank}
+
+
+if __name__ == "__main__":
+    # logger.info("Starting PreCollege Data Scraper Server...")
+    uvicorn.run(app, host="0.0.0.0", port=7860)

polynomial_transformer.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1e0238c7645aff3bb63d4dccb5ba4149c9654dd7485ee5e2bd7f60a5e98b0ffc
+size 255

requirements.txt

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+annotated-types==0.7.0
+anyio==4.6.2.post1
+click==8.1.7
+colorama==0.4.6
+exceptiongroup==1.2.2
+fastapi==0.115.5
+h11==0.14.0
+idna==3.10
+joblib==1.4.2
+numpy==2.0.2
+pydantic==2.9.2
+pydantic_core==2.23.4
+scikit-learn==1.5.2
+scipy==1.13.1
+sniffio==1.3.1
+starlette==0.41.2
+threadpoolctl==3.5.0
+typing_extensions==4.12.2
+uvicorn==0.32.0

ridge_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8bac71376f4257c5b3e3394609f265b1f575323066bf815f3e8a680f50606a34
+size 607