Update app.py

app.py

@@ -146,7 +146,7 @@ def predict1(image_input, question):
         # Pass the image and encoded prompt to the model
         with torch.no_grad():
             # Get image embeddings
-            image_embeddings = model.image_encoder(image)
+            image_embeddings = image_encoder(image)
             projected_image_embeddings = model.image_projection(image_embeddings)
 
             # Reshape image embeddings to (batch_size, 1, phi3_embed_dim)