again changing the call of the preprocessing step

app.py

@@ -102,16 +102,19 @@ async def predict(predictionFeatures: PredictionFeatures):
     """
 
     # First preprocess the text directly
-    text_to_preprocess = PreprocessingFeatures(tweet=predictionFeatures.Text)
+    url = "https://llepogam-hate-speech-detection-api.hf.space/preprocess"
+    headers = {
+        "accept": "application/json",
+        "Content-Type": "application/json"
+    }
 
-    print(text_to_preprocess)
+    data = {
+        "tweet": predictionFeatures.Text
+    }
 
-    preprocessed_result = await preprocess_text(text_to_preprocess)
-    
-    # Use the preprocessed text for prediction
-    print(preprocessed_result)
-    print([preprocessed_result['text_clean']['0']])
-    list_text = [preprocessed_result['text_clean']['0']]
+    response = requests.post(url, headers=headers, json=data)
+
+    list_text = [response.json()['text_clean']['0']]
 
     # Load model from MLflow
     logged_model = 'runs:/227d2f8e431d40d6b5231add3a00d048/hate_speech_detection'