Update app.py

app.py

@@ -4,7 +4,12 @@ from urllib.parse import quote
 from huggingface_hub import InferenceClient
 import numpy as np
 import gradio as gr
-client = InferenceClient("Salesforce/blip-image-captioning-base")
+
+
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("image-to-text", model="genta-tech/nougat-base-onnx-quantized")
 def generate_img(prompt):
 
 
@@ -17,7 +22,7 @@ def pollinations_url_seedless(a, width=512, height=512):
 
 def interrogate(img):
 
-    result = client.image_to_text(img)
+    result = pipe(img)
     return result['generated_text']
 def rountrip(img):
     prompt=interrogate(img)