third

app.py

@@ -1,6 +1,14 @@
-import gradio as gr
-from transformer import pipeline
+from transformers import ViTForImageClassification, ViTFeatureExtractor
+from PIL import Image
+import torch
 
-pipe = pipeline(task="image-classification", model="imjeffhi/pokemon_classifier")
+# Loading in Model
+device = "cuda" if torch.cuda.is_available() else "cpu"
+model = ViTForImageClassification.from_pretrained( "imjeffhi/pokemon_classifier").to(device)
+feature_extractor = ViTFeatureExtractor.from_pretrained('imjeffhi/pokemon_classifier')
 
-gr.Interface.from_pipeline(pipe, title="Pokemon Classifier", description="A fine-tuned version of ViT-base on a collected set of Pokémon images", allow_flagging="never").launch(inbrowser=True)
+# Caling the model on a test image
+img = Image.open('test.jpg')
+extracted = feature_extractor(images=img, return_tensors='pt').to(device)
+predicted_id = model(**extracted).logits.argmax(-1).item()
+predicted_pokemon = model.config.id2label[predicted_id]