Updated from colab

app.py

@@ -1,10 +1,9 @@
 from datasets import load_dataset
 from transformers import AutoFeatureExtractor, AutoModelForImageClassification
-import torch
 
 # This should be the same as the first line of Python code in this Colab notebook
 dataset = load_dataset('beans')
-feature_extractor = AutoFeatureExtractor.from_pretrained("saved_model_files")
+extractor = AutoFeatureExtractor.from_pretrained("saved_model_files")
 model = AutoModelForImageClassification.from_pretrained("saved_model_files")
 
 labels = dataset['train'].features['labels'].names

requirements.txt

@@ -1,2 +1,2 @@
 torch
-transformers
+transformers