lgcosta
b9c0c66d21
- Stack: GPT4All + Llama 3.2 3B, LangChain, Qdrant, FastAPI, Docker - 11 tarefas implementadas com 100% de conclusão - Funcionalidades: chat com IA, upload PDF, bot Telegram, agendamento - 6 livros PDF indexados (A Gênese, Livro dos Espíritos, etc.) - Documentação rica: README, BUILD, task reports, design specs - Deploy com Docker Compose - Production ready Tech stack: - AI: GPT4All 2.4.6, Llama 3.2 3B q4_0 - Backend: FastAPI 0.115.0, Celery 5.4.0, Redis 5.2.0 - RAG: LangChain 0.3.7, Qdrant 1.11.1 - Frontend: HTML5/CSS3/Vanilla JS - Deploy: Docker Compose Acceptance Criteria: ✅ CPU-only, <8GB RAM, ~5GB storage ✅ Suporta upload de PDFs ✅ Interface web rica e responsiva ✅ Bot Telegram funcional ✅ Agendamento de mensagens ✅ Código limpo e documentado ✅ Deploy via Docker Status: PRODUCTION READY Version: 1.0.0 Date: 2026-11-01
34 lines
711 B
Docker
34 lines
711 B
Docker
FROM python:3.11-slim
|
|
|
|
WORKDIR /app
|
|
|
|
# Install system dependencies
|
|
RUN apt-get update && apt-get install -y \
|
|
curl \
|
|
&& rm -rf /var/lib/apt/lists/*
|
|
|
|
# Create directories
|
|
RUN mkdir -p /app/uploads /app/index /app/models
|
|
|
|
# Copy requirements
|
|
COPY requirements.txt .
|
|
|
|
# Install Python dependencies
|
|
RUN pip install --no-cache-dir -r requirements.txt
|
|
|
|
# Set environment variables
|
|
ENV GPT4ALL_MODEL=llama-3.2-3b-instruct-q4_0.gguf
|
|
ENV UPLOAD_DIR=/app/uploads
|
|
ENV INDEX_DIR=/app/index
|
|
ENV SCHEDULES_PATH=/app/schedules.json
|
|
|
|
# Copy application
|
|
COPY app/ ./app/
|
|
COPY frontend/ ./frontend/
|
|
|
|
# Expose ports
|
|
EXPOSE 8000
|
|
|
|
# Run the application
|
|
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
|