Init the project.

gliner_inference_server/main.py

@@ -0,0 +1,45 @@
+from fastapi import FastAPI, HTTPException, status
+from pydantic import BaseModel, Field, field_validator
+from typing import List, Optional, Union, Dict, Any, Tuple
+from contextlib import asynccontextmanager
+import os
+
+# Global model instance
+model = None
+
+
+app = FastAPI(
+    title="GLiNER Inference Server",
+     description="Named Entity Recognition, Relation Extraction, and Summarization API",
+     version="1.0.0",
+)
+
+
+@app.get("/health")
+async def health_check():
+    """Health check endpoint"""
+    return {"status": "healthy", "model_loaded": model is not None}
+
+
+@app.post("/general")
+async def general_extraction(request):
+    """Named Entity Recognition endpoint"""
+    pass
+
+
+@app.post("/relation-extraction")
+async def relation_extraction(request):
+    """Relation Extraction endpoint"""
+    pass
+
+
+@app.post("/summarization")
+async def summarization(request):
+    """Summarization endpoint"""
+    pass
+
+if __name__ == "__main__":
+    import uvicorn
+
+    port = int(os.getenv("PORT", "8000"))
+    uvicorn.run(app, host="0.0.0.0", port=port)