Update Dockerfile

Dockerfile

@@ -5,26 +5,26 @@ RUN apt-get update \
  && apt-get install -y --no-install-recommends git \
  && rm -rf /var/lib/apt/lists/*
 
-# 2) Prep HF & numba caches
-ENV HF_HOME=/tmp/hfcache \
-    TRANSFORMERS_CACHE=/tmp/hfcache \
-    SENTENCE_TRANSFORMERS_HOME=/tmp/hfcache \
-    NUMBA_CACHE_DIR=/tmp/numba_cache \
-    PIP_NO_CACHE_DIR=1 \
+# 2) Prep HF & numba caches and set runtime envs
+ENV PIP_NO_CACHE_DIR=1 \
     PYTHONUNBUFFERED=1 \
     EMBED_MODEL=Seznam/simcse-small-e-czech \
     MIN_TOPIC_SIZE=10 \
-    MAX_DOCS=5000
+    MAX_DOCS=5000 \
+    HF_HOME=/tmp/hfcache \
+    TRANSFORMERS_CACHE=/tmp/hfcache \
+    SENTENCE_TRANSFORMERS_HOME=/tmp/hfcache \
+    NUMBA_CACHE_DIR=/tmp/numba_cache
 
 RUN mkdir -p /tmp/hfcache /tmp/numba_cache \
  && chmod -R 777 /tmp/hfcache /tmp/numba_cache
 
-# 3) Install Python deps
+# 3) Install Python dependencies (pins in requirements.txt)
 WORKDIR /code
-COPY requirements.txt .
+COPY requirements.txt ./
 RUN pip install --no-cache-dir -r requirements.txt
 
-# 4) Pre-download the Czech SBERT model
+# 4) Pre-download the Czech SBERT model into the cache
 RUN python - <<'PY'
 from sentence_transformers import SentenceTransformer
 SentenceTransformer(
@@ -34,7 +34,9 @@ SentenceTransformer(
 PY
 RUN chmod -R 777 /tmp/hfcache
 
-# 5) Copy app and run
-COPY app.py .
+# 5) Copy application code and expose port
+COPY app.py ./
 EXPOSE 7860
+
+# 6) Launch
 CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]