deploy-to-hf.sh

#!/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"