Update app.py

app.py

@@ -34,23 +34,28 @@ def get_square_root_tool(input_number:int)-> int: #it's import to specify the re
         return f"Error fetching Square root of '{input_number}': {str(e)}" 
 
 @tool
-def classify_educational_article(text: str) -> int:
+def classify_educational_article(text: str) -> str:
     """
     Classifier for judging the educational value of web pages.
     Args:
         text: The content of the educational article to be classified.
     Returns:
-        int: This function will output a dictionary with the input text, the predicted score, and an integer score between 0 and 5
+        str: This function will output a dictionary with the input text, the predicted score, and an integer score between 0 and 5
     """
-    from transformers import pipeline
-    # Perform classification
-    model_name = "HuggingFaceTB/fineweb-edu-classifier"
-    classifier = pipeline("text-classification", model=model_name)
+    from transformers import AutoTokenizer, AutoModelForSequenceClassification
+    tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/fineweb-edu-classifier")
+    model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/fineweb-edu-classifier")
     inputs = tokenizer(text, return_tensors="pt", padding="longest", truncation=True)
-    outputs = classifier(**inputs)
+    outputs = model(**inputs)
     logits = outputs.logits.squeeze(-1).float().detach().numpy()
     score = logits.item()
-    return score
+    result = {
+    "text": text,
+    "score": score,
+    "int_score": int(round(max(0, min(score, 5)))),
+     }
+
+   return result