dazhuang
04f7d372ea
- Add HF_ENDPOINT configuration option - Set HuggingFace mirror to https://hf-mirror.com - Fix 'cannot connect to huggingface.co' error - Update .env.example with HF_ENDPOINT setting Problem: - RAG engine uses sentence-transformers model - Model download requires connection to huggingface.co - China network cannot access huggingface.co - Error: 'We couldn't connect to https://huggingface.co' Solution: - Add HF_ENDPOINT environment variable support - Use hf-mirror.com as HuggingFace mirror - Set mirror before loading sentence-transformers - Document in .env.example Files: - backend/app/config.py: add HF_ENDPOINT config - backend/app/core/rag_engine.py: set HF_ENDPOINT before model load - backend/setup_hf_mirror.sh: setup script - backend/.env: configure mirror (not tracked)
24 lines
671 B
Bash
24 lines
671 B
Bash
#!/bin/bash
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# 设置 HuggingFace 镜像环境变量
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echo "配置 HuggingFace 镜像..."
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# 添加到 .env 文件
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if ! grep -q "HF_ENDPOINT" /data/erp-ass/backend/.env; then
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echo "" >> /data/erp-ass/backend/.env
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echo "# HuggingFace Mirror" >> /data/erp-ass/backend/.env
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echo "HF_ENDPOINT=https://hf-mirror.com" >> /data/erp-ass/backend/.env
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echo "✓ 已添加 HF_ENDPOINT 到 .env"
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else
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echo "✓ HF_ENDPOINT 已存在"
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fi
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# 设置当前会话环境变量
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export HF_ENDPOINT=https://hf-mirror.com
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echo ""
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echo "环境变量已设置:"
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echo " HF_ENDPOINT=https://hf-mirror.com"
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echo ""
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echo "请重启后端服务:"
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echo " ./stop.sh && ./start.sh" |