Trial new model

app.py

@@ -2,7 +2,7 @@ from transformers import pipeline
 from PIL import Image
 
 def predict(image):
-    pipe = pipeline("image-classification", model="dennisjooo/Birds-Classifier-EfficientNetB2")
+    pipe = pipeline("image-classification", model="chriamue/bird-species-classifier")
     predictions = pipe(image)
     return {p["label"].title(): p["score"] for p in predictions}