Update app.py

app.py

@@ -2,6 +2,8 @@ import spaces
 import torch
 import re
 import gradio as gr
+from PIL import Image
+import io
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
 if torch.cuda.is_available():
@@ -20,7 +22,9 @@ moondream.eval()
 @spaces.GPU(duration=10)
 def answer_questions(images, prompt_text):
     prompts = [p.strip() for p in prompt_text.split(',')]  # Splitting and cleaning prompts
-    image_embeds = [moondream.encode_image(img) for img in images]
+    # Extracting images from tuples and converting to PIL images
+    image_objects = [Image.open(io.BytesIO(img[0])) for img in images]
+    image_embeds = [moondream.encode_image(img) for img in image_objects]
     answers = moondream.batch_answer(
         images=image_embeds,
         prompts=prompts,