tested docter locally and pushed to dockerhub

Author: aashu-0

.gitignore

@@ -211,4 +211,5 @@ dataset/
 *.pkl
 creds.txt
 workflow.txt
-local_s3/
+local_s3/
+notes/

dockerfile

@@ -0,0 +1,41 @@
+# 1. Base image
+FROM python:3.12-slim
+
+# 2. Environment variables
+ENV PYTHONDONTWRITEBYTECODE=1 \
+    PYTHONUNBUFFERED=1
+
+# 3. Set working directory
+WORKDIR /app
+
+# 4. Install system dependencies (only if needed)
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+# 5. Install uv
+RUN pip install --no-cache-dir uv
+
+# 6. only Flask app requirements first (better caching)
+COPY flask_app/requirements.txt ./requirements.txt
+
+# 7. Install dependencies using uv
+RUN uv pip install --system --no-cache -r requirements.txt
+
+# 8. Download NLTK data
+RUN python -m nltk.downloader stopwords wordnet
+
+# 9. Copy application code
+COPY flask_app/ .
+
+# 10. Copy model artifact
+COPY models/vectorizer.pkl ./models/vectorizer.pkl
+
+# 11. Expose port
+EXPOSE 5000
+
+# local
+CMD ["python", "app.py"] 
+
+# 12. Run app (production)
+# CMD ["gunicorn", "--bind", "0.0.0.0:5000", "--timeout", "120", "app:app"]