Update Backend/app.py

Backend/app.py

@@ -10,11 +10,16 @@ import cv2
 import os
 import traceback
 from keras.models import load_model
+from fastapi.responses import FileResponse
+from fastapi.staticfiles import StaticFiles
 
 # Load the trained model
 model_path = os.path.join(os.path.dirname(__file__), 'emotion_model.keras')
 model = load_model(model_path)
 
+# Mount the frontend folder to serve static files
+app.mount("/static", StaticFiles(directory="Frontend"), name="static")
+
 # Emotion and emoji maps
 emotion_dict = {
     0: "Angry", 1: "Disgusted", 2: "Fearful", 3: "Happy",
@@ -48,11 +53,12 @@ class ImageData(BaseModel):
 # Load Haarcascade once
 face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
 
-# @app.get("/")
-# def read_root():
-#     return {"message": "FaceFeel backend is running"}
+@app.get("/")
+def serve_homepage():
+    return FileResponse("Frontend/index.html")
+
 
-@app.post("/")
+@app.post("/process_image")
 async def process_image(data: ImageData):
     try:
         header, encoded = data.image.split(",")