adjust to serve frontend

server.py

@@ -2,6 +2,7 @@ from fastapi import FastAPI
 from pydantic import BaseModel
 import pickle
 from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import FileResponse
 
 # Load the pre-trained model and vectorizer
 with open("spam_classifier_model.pkl", "rb") as model_file:
@@ -50,4 +51,8 @@ def get_info():
     info = "Welcome to Dang Minh EMail Spam Classifier Model, this is a personal project to practice my knowledge in NLP and MLops"
     return { 
         "info": info
-    }
+    }
+
+@app.get("/app")
+def serve_frontend():
+    return FileResponse("web/index.html")