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Dockerfile

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+FROM python:3.10-slim
+
+WORKDIR /app
+
+# Copy requirements first (better layer caching)
+COPY requirements.txt .
+
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy app files
+COPY app_enhanced.py .
+COPY config.py .
+COPY artifacts/ ./artifacts/
+
+# Hugging Face uses port 7860
+EXPOSE 7860
+
+CMD ["bash", "-lc", "uvicorn app_enhanced:app --host 0.0.0.0 --port ${PORT:-7860}"]

config.py

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+RECOMMENDATION_WEIGHTS = {
+    "embedding": 0.3,
+    "dataset": 0.6,
+    "collaborative": 0.1
+}
+
+MIN_CONFIDENCE_THRESHOLD = 0.15
+MIN_SOURCES_REQUIRED = 1
+DATASET_SKILLS_BYPASS_SOURCE_CHECK = True
+PREFER_DATASET_SKILLS = True
+DATASET_BONUS = 0.1
+
+ROLE_MATCH_THRESHOLD = 70
+SKILL_MATCH_THRESHOLD = 80
+
+DEFAULT_TOP_K = 20
+DEFAULT_MIN_CONFIDENCE = 0.25
+MAX_TOP_K = 100
+CANDIDATE_MULTIPLIER = 3
+
+USE_CUSTOM_FILTER = False
+custom_skill_filter = None

requirment.txt

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+fastapi
+uvicorn[standard]
+numpy
+scikit-learn
+rapidfuzz
+pydantic