Delete pipeline.py

pipeline.py

@@ -1,23 +0,0 @@
-import numpy as np
-import typing
-
-class PreTrainedPipeline():
-    def __init__(self, path=""):
-        # Load the FastText model
-        self.model = fasttext.load_model(path)
-
-    def __call__(self, inputs: str) -> List[List[Dict[str, float]]]:
-        # Get the predictions from the model
-        predictions = self.model.predict(inputs)
-
-        # Get the top 5 predictions
-        top_5_predictions = predictions[:4]
-
-        # Convert the predictions to a list of dictionaries
-        top_5_predictions_dict = []
-        for prediction in top_5_predictions:
-            prediction_dict = {"label": prediction[0], "score": prediction[1]}
-            top_5_predictions_dict.append(prediction_dict)
-
-        # Return the top 5 predictions
-        return [top_5_predictions_dict]