Create app.py

app.py

@@ -0,0 +1,37 @@
+from fastapi import FastAPI, Request
+from fastapi.responses import JSONResponse
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+from llmeval import LLM_as_Evaluator
+app = FastAPI()
+
+# CORS configuration
+origins = ["*"]  # Allow all origins; specify domains in production
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=origins,            # Allows all origins
+    allow_credentials=True,
+    allow_methods=["*"],              # Allows all HTTP methods
+    allow_headers=["*"],              # Allows all headers
+)
+
+le=LLM_as_Evaluator()
+
+# Pydantic model for request body
+class EvalInput(BaseModel):
+    promptversion: str
+    evaluator_type;str
+
+@app.post("/evaluate")
+async def evaluation(request:EvalInput):
+
+    prompt_version = request.promptversion
+    evaluator_type=request.evaluator_type
+    match evaluator_type:
+        case "ParadigmIdentification":
+            le.Paradigm_LLM_Evaluator(prompt_version)
+    
+    # Example processing (replace with actual logic)
+    return JSONResponse(content={"evalsuccessful":True},status_code=200)
+