Delete pipeline.py

pipeline.py

@@ -1,22 +0,0 @@
-from transformers import Pipeline
-import numpy as np
-import tensorflow as tf
-from PIL import Image
-
-class BrainTumorDetectionPipeline(Pipeline):
-    def __init__(self, model_path: str, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-        self.model = tf.keras.models.load_model(model_path)
-
-    def preprocess(self, images: list):
-        processed_images = []
-        for image in images:
-            image = Image.open(image).resize((128, 128))  # Resize to model input size
-            image = np.array(image) / 255.0  # Normalize the image
-            processed_images.append(np.expand_dims(image, axis=0))  # Add batch dimension
-        return np.vstack(processed_images)  # Stack for batch processing
-
-    def forward(self, images: list):
-        preprocessed_images = self.preprocess(images)
-        predictions = self.model.predict(preprocessed_images)
-        return predictions