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File size: 1,724 Bytes
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#!/bin/bash
# Deploy Qwen Embedding Model to Hugging Face Spaces
# Make sure you have the Hugging Face CLI installed and logged in
echo "🚀 Deploying Qwen Embedding Model to Hugging Face Spaces..."
# Check if HF CLI is installed
if ! command -v huggingface-cli &> /dev/null; then
echo "❌ Hugging Face CLI not found. Please install it first:"
echo "pip install huggingface_hub[cli]"
exit 1
fi
# Check if user is logged in
if ! huggingface-cli whoami &> /dev/null; then
echo "❌ Please log in to Hugging Face first:"
echo "huggingface-cli login"
exit 1
fi
# Get space name from user
read -p "Enter your Hugging Face username: " HF_USERNAME
read -p "Enter space name (e.g., qwen-embedding-api): " SPACE_NAME
SPACE_URL="https://huggingface.co/spaces/$HF_USERNAME/$SPACE_NAME"
echo "📦 Creating Hugging Face Space..."
# Create the space
huggingface-cli repo create "$SPACE_NAME" --type space --sdk docker
echo "📁 Uploading files to the space..."
# Upload files to the space
huggingface-cli upload "$HF_USERNAME/$SPACE_NAME" ./Dockerfile ./Dockerfile
huggingface-cli upload "$HF_USERNAME/$SPACE_NAME" ./requirements.txt ./requirements.txt
huggingface-cli upload "$HF_USERNAME/$SPACE_NAME" ./app.py ./app.py
huggingface-cli upload "$HF_USERNAME/$SPACE_NAME" ./README.md ./README.md
echo "✅ Deployment complete!"
echo "🌐 Your space is available at: $SPACE_URL"
echo "⏳ The space will take a few minutes to build and start."
echo ""
echo "🔧 To update your PansGPT app:"
echo "1. Update the API URL in your qwen-embedding-service.ts"
echo "2. Replace the Gradio client with direct HTTP calls"
echo "3. Test the new endpoint"
echo ""
echo "📊 Monitor your space at: $SPACE_URL"
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