update call of preprocess function

app.py

@@ -100,24 +100,11 @@ async def predict(predictionFeatures: PredictionFeatures):
     ```
     """
 
- 
-
-    #Call the API
-    url = "https://llepogam-hate-speech-detection-api.hf.space/preprocess"
-    headers = {
-        "accept": "application/json",
-        "Content-Type": "application/json"
-    }
-
-    data_to_preprocessed = {
-        "tweet": predictionFeatures.Text
-    }
-
-    response = requests.post(url, headers=headers, json=data_to_preprocessed)
-
-
-    # Convert input into a DataFrame
-    list_text = [response.json()['text_clean']['0']]
+    # First preprocess the text directly
+    preprocessed_result = await preprocess_text(predictionFeatures.Text)
+    
+    # Use the preprocessed text for prediction
+    list_text = [preprocessed_result['text_clean']['0']]
 
     # Load model from MLflow
     logged_model = 'runs:/227d2f8e431d40d6b5231add3a00d048/hate_speech_detection'
@@ -142,7 +129,7 @@ async def predict(predictionFeatures: PredictionFeatures):
 
 
 @app.post("/preprocess", tags=["Machine Learning"])
-async def predict(preprocessingFeatures: PreprocessingFeatures):
+async def preprocess_text(preprocessingFeatures: PreprocessingFeatures):
     """
     This method will preprocess a raw tweet.This intermediate method is used as the preprocessing cannot be simply included in the prediction model