fixed issues

app/main.py

@@ -20,8 +20,10 @@ tokenizer = BertTokenizer.from_pretrained(
 )
 model.eval()
 
+# Correct path to label_classes.npy
+label_path = os.path.join(os.path.dirname(__file__), "label_classes.npy")
 le = LabelEncoder()
-le.classes_ = np.load("label_classes.npy", allow_pickle=True)
+le.classes_ = np.load(label_path, allow_pickle=True)
 
 class TextInput(BaseModel):
     text: str
@@ -30,7 +32,6 @@ class TextInput(BaseModel):
 def read_root():
     return {"message": "FastAPI backend is live. Go to /docs to test."}
 
-
 @app.post("/predict")
 async def predict(data: TextInput):
     inputs = tokenizer(data.text, return_tensors="pt", truncation=True, padding=True)