Clean deployment

.gitattributes

@@ -1,2 +1,3 @@
 *.h5 filter=lfs diff=lfs merge=lfs -text
 artifacts/training/model/variables/variables.data-*-of-* filter=lfs diff=lfs merge=lfs -text
+artifacts/training/best_model.h5 filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -206,10 +206,31 @@ marimo/_static/
 marimo/_lsp/
 __marimo__/
 
-artifacts/*
+# Python
+__pycache__/
+*.pyc
+*.egg-info
 
-mlruns/
-.env
-model/
+# Virtual Environments - DO NOT TRACK
+venv/
+new_venv/
 cnn_env/
-inputImage.jpg
+
+# MLOps - Local artifacts and temporary files
+# These are generated by dvc repro and should NOT be in Git
+.env
+mlruns/
+artifacts/
+model/  # Ignore the experimental model folder
+
+# Temporary files from app execution and debugging
+inputImage.jpg
+test_output.jpg
+training_history.csv
+confusion_matrix.png
+scores.json
+
+# IDE / OS specific
+.vscode/
+.idea/
+*.DS_Store

dockerfile

@@ -1,7 +1,24 @@
-FROM python:3.9
+FROM python:3.8-slim
 WORKDIR /app
+
+# Copy requirements first for caching
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
-COPY . .
+
+# Copy all the essential application source code
+COPY app.py .
+COPY src ./src
+COPY templates ./templates
+COPY static ./static
+COPY config ./config
+COPY params.yaml .
+# ... copy any other essential source files
+
+# --- CRITICAL CHANGE ---
+# Create a 'model' directory inside the container and
+# copy ONLY our LFS-tracked model file into it.
+RUN mkdir model
+COPY artifacts/training/best_model.h5 ./model/
+
 EXPOSE 8080
-CMD ["    pip install uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8080"]
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8080"]