lgcosta
8eeb6b89f4
Usa o modelo multilingual, ignora trechos curtos e o template do Llama 3.2 para a resposta sair em uma frase completa. O chat deixa a API livre durante a geração, o upload indexa o PDF e os agendamentos não são gravados duas vezes.
97 lines
2.6 KiB
YAML
97 lines
2.6 KiB
YAML
services:
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qdrant:
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image: docker.io/qdrant/qdrant:latest
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container_name: espiritismo-qdrant
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ports:
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- "6333:6333"
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volumes:
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- qdrant_data:/qdrant/storage
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restart: unless-stopped
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redis:
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image: docker.io/library/redis:7-alpine
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container_name: espiritismo-redis
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ports:
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- "6379:6379"
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volumes:
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- redis_data:/data
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restart: unless-stopped
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web:
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build:
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context: .
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dockerfile: backend/Dockerfile
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container_name: espiritismo-web
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ports:
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- "8000:8000"
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volumes:
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- ./PDF:/app/books:ro
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- uploads_data:/app/uploads
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- ./data/schedules.json:/app/schedules.json
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- ./backend/models:/app/models
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environment:
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QDRANT_URL: http://qdrant:6333
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CELERY_BROKER_URL: redis://redis:6379/0
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CELERY_RESULT_BACKEND: redis://redis:6379/0
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TELEGRAM_BOT_TOKEN: ${TELEGRAM_BOT_TOKEN:-}
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TELEGRAM_CHAT_ID: ${TELEGRAM_CHAT_ID:-}
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GPT4ALL_MODEL: /app/models/llama-3.2-3b-instruct-q4_0.gguf
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BOOKS_DIR: /app/books
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UPLOAD_DIR: /app/uploads
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SCHEDULES_PATH: /app/schedules.json
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TZ: America/Sao_Paulo
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depends_on:
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- qdrant
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- redis
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restart: unless-stopped
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celery:
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build:
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context: .
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dockerfile: backend/Dockerfile
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container_name: espiritismo-celery
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command: celery -A app.tasks.celery_tasks worker --loglevel=info
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volumes:
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- ./PDF:/app/books:ro
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- uploads_data:/app/uploads
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- ./data/schedules.json:/app/schedules.json
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- ./backend/models:/app/models
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environment:
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QDRANT_URL: http://qdrant:6333
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CELERY_BROKER_URL: redis://redis:6379/0
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CELERY_RESULT_BACKEND: redis://redis:6379/0
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TELEGRAM_BOT_TOKEN: ${TELEGRAM_BOT_TOKEN:-}
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TELEGRAM_CHAT_ID: ${TELEGRAM_CHAT_ID:-}
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GPT4ALL_MODEL: /app/models/llama-3.2-3b-instruct-q4_0.gguf
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BOOKS_DIR: /app/books
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UPLOAD_DIR: /app/uploads
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SCHEDULES_PATH: /app/schedules.json
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TZ: America/Sao_Paulo
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depends_on:
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- qdrant
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- redis
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restart: unless-stopped
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celery-beat:
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build:
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context: .
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dockerfile: backend/Dockerfile
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command: celery -A app.tasks.celery_tasks beat --loglevel=info
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volumes:
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- ./data/schedules.json:/app/schedules.json
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environment:
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CELERY_BROKER_URL: redis://redis:6379/0
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CELERY_RESULT_BACKEND: redis://redis:6379/0
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TELEGRAM_BOT_TOKEN: ${TELEGRAM_BOT_TOKEN:-}
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TELEGRAM_CHAT_ID: ${TELEGRAM_CHAT_ID:-}
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SCHEDULES_PATH: /app/schedules.json
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TZ: America/Sao_Paulo
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depends_on:
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- redis
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restart: unless-stopped
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volumes:
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qdrant_data:
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redis_data:
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uploads_data:
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