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QueryLensV2b

Running on Zero

Full deploy of QueryLensV2 (code + demo db) to a fresh Space

19dfd32 verified 2 days ago

1.26 kB

# ☁️ Dockerfile for Hugging Face Spaces — Cloud-Only (Lightweight)
# Image size: ~500MB (no Ollama, no local models)
# All LLM inference is handled by Groq API and HF Inference API via USE_HF_CLOUD=1
FROM python:3.11-slim

# Prevent Python from writing pyc files and buffering stdout/stderr
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

# Cloud mode: all LLM calls go to Groq / HF Inference — no local Ollama needed
ENV USE_HF_CLOUD=1

# Install system dependencies (Tesseract for OCR fallback only)
RUN apt-get update && apt-get install -y \
    curl \
    zstd \
    tesseract-ocr \
    libtesseract-dev \
    gcc \
    libpq-dev \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /app

# Install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt && \
    pip install --no-cache-dir llama-index-llms-huggingface-api huggingface_hub

# Copy application code
COPY . .

# Hugging Face Spaces requires port 7860
EXPOSE 7860

# Fix line endings and permissions on startup script
RUN sed -i 's/\r$//' start_hf.sh && chmod +x start_hf.sh
RUN useradd -m -u 1000 appuser && chown -R appuser:appuser /app 2>/dev/null || true
USER appuser

CMD ["./start_hf.sh"]

	# ☁️ Dockerfile for Hugging Face Spaces — Cloud-Only (Lightweight)
	# Image size: ~500MB (no Ollama, no local models)
	# All LLM inference is handled by Groq API and HF Inference API via USE_HF_CLOUD=1
	FROM python:3.11-slim

	# Prevent Python from writing pyc files and buffering stdout/stderr
	ENV PYTHONDONTWRITEBYTECODE=1
	ENV PYTHONUNBUFFERED=1

	# Cloud mode: all LLM calls go to Groq / HF Inference — no local Ollama needed
	ENV USE_HF_CLOUD=1

	# Install system dependencies (Tesseract for OCR fallback only)
	RUN apt-get update && apt-get install -y \
	curl \
	zstd \
	tesseract-ocr \
	libtesseract-dev \
	gcc \
	libpq-dev \
	&& rm -rf /var/lib/apt/lists/*

	WORKDIR /app

	# Install Python dependencies
	COPY requirements.txt .
	RUN pip install --no-cache-dir --upgrade pip && \
	pip install --no-cache-dir -r requirements.txt && \
	pip install --no-cache-dir llama-index-llms-huggingface-api huggingface_hub

	# Copy application code
	COPY . .

	# Hugging Face Spaces requires port 7860
	EXPOSE 7860

	# Fix line endings and permissions on startup script
	RUN sed -i 's/\r$//' start_hf.sh && chmod +x start_hf.sh
	RUN useradd -m -u 1000 appuser && chown -R appuser:appuser /app 2>/dev/null \|\| true
	USER appuser

	CMD ["./start_hf.sh"]