Update app.py

app.py

@@ -3,15 +3,9 @@ from PIL import Image
 from transformers import AutoProcessor, AutoModelForImageClassification
 import gradio as gr
 
-# Load model and processor
-from transformers import AutoModelForImageClassification, AutoProcessor
-
+# Load model and processor from local "model" folder
 model = AutoModelForImageClassification.from_pretrained("model")
 processor = AutoProcessor.from_pretrained("model")
-
-model = AutoModelForImageClassification.from_pretrained(model_name)
-processor = AutoProcessor.from_pretrained(model_name)
-
 labels = model.config.id2label  # e.g., {0: "non-hateful", 1: "hateful"}
 
 def classify_meme(image: Image.Image):
@@ -30,10 +24,6 @@ demo = gr.Interface(
     title="Meme Sentiment Classifier (SigLIP2)",
     description="Upload a meme to classify its sentiment using a SigLIP2-based model."
 )
-from transformers import AutoModelForImageClassification, AutoProcessor
-
-model = AutoModelForImageClassification.from_pretrained("model")
-processor = AutoProcessor.from_pretrained("model")
 
 if __name__ == "__main__":
     demo.launch()