đã áp dụng file shapefile vào train và predict

start_training.sh

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+#!/bin/bash
+
+# Quick Start Script for Updated Training Interface
+
+echo "=========================================="
+echo "🚀 TRAINING INTERFACE - QUICK START"
+echo "=========================================="
+echo ""
+
+# Check if conda is available
+if ! command -v conda &> /dev/null; then
+    echo "❌ Conda not found. Please install Anaconda/Miniconda first."
+    exit 1
+fi
+
+echo "📦 Step 1: Activating conda environment..."
+source $(conda info --base)/etc/profile.d/conda.sh
+conda activate env_01
+
+if [ $? -ne 0 ]; then
+    echo "❌ Failed to activate env_01. Please check your conda environment."
+    exit 1
+fi
+
+echo "✅ Environment activated: env_01"
+echo ""
+
+echo "📦 Step 2: Checking required packages..."
+python -c "import geopandas; import fastapi; import uvicorn" 2>/dev/null
+
+if [ $? -ne 0 ]; then
+    echo "⚠️  Some packages are missing. Installing..."
+    pip install geopandas fastapi uvicorn python-multipart
+else
+    echo "✅ All required packages installed"
+fi
+echo ""
+
+echo "📦 Step 3: Checking training files..."
+if [ -d "train" ]; then
+    file_count=$(ls train/*.shp 2>/dev/null | wc -l)
+    echo "✅ Found $file_count shapefile(s) in train/ directory"
+    ls train/*.shp 2>/dev/null | while read file; do
+        echo "   - $(basename $file)"
+    done
+else
+    echo "⚠️  train/ directory not found. Creating..."
+    mkdir -p train
+fi
+echo ""
+
+echo "🌐 Step 4: Starting API Server..."
+echo "   Server will be available at: http://localhost:8000"
+echo "   Training interface: http://localhost:8000/training"
+echo ""
+echo "   Press Ctrl+C to stop the server"
+echo ""
+echo "=========================================="
+echo ""
+
+# Start the API server
+python api_server.py