Delete pipeline.py

pipeline.py

@@ -1,48 +0,0 @@
-import os
-from typing import Dict, List, Any
-from PIL import Image
-import jax
-from transformers import ViTFeatureExtractor, AutoTokenizer, FlaxVisionEncoderDecoderModel
-
-
-class PreTrainedPipeline():
-
-    def __init__(self, path=""):
-
-        model_dir = path
-
-        self.model = FlaxVisionEncoderDecoderModel.from_pretrained(model_dir)
-        self.feature_extractor = ViTFeatureExtractor.from_pretrained(model_dir)
-        self.tokenizer = AutoTokenizer.from_pretrained(model_dir)
-
-        max_length = 16
-        num_beams = 4
-        self.gen_kwargs = {"max_length": max_length, "num_beams": num_beams}
-        
-        @jax.jit
-        def _generate(pixel_values):
-
-            output_ids = self.model.generate(pixel_values, **self.gen_kwargs).sequences
-            return output_ids
-
-        self.generate = _generate
-
-        # compile the model
-        image_path = os.path.join(path, 'val_000000039769.jpg')
-        image = Image.open(image_path)
-        self(image)
-        image.close()
-        
-    def __call__(self, inputs: "Image.Image") -> List[str]:
-        """
-        Args:
-        Return:
-        """
-
-        pixel_values = self.feature_extractor(images=inputs, return_tensors="np").pixel_values
-        
-        output_ids = self.generate(pixel_values)
-        preds = self.tokenizer.batch_decode(output_ids, skip_special_tokens=True)
-        preds = [pred.strip() for pred in preds]
-
-        return preds