Delete deploy-to-hf.sh

deploy-to-hf.sh

@@ -1,50 +0,0 @@
-#!/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"