Update app.py

Removed not working models

app.py

@@ -5,12 +5,6 @@ from PIL import Image
 
 def recognize_captcha(input, mdl):
     
-    # Load image
-    # image = Image.open(input).convert("RGB")
-    # Create white background
-    # background = Image.new("RGBA", image.size, (255, 255, 255))
-    # combined = Image.alpha_composite(background, image).convert("RGB")
-
     # Load model and processor
     processor = TrOCRProcessor.from_pretrained(mdl)
     model = VisionEncoderDecoderModel.from_pretrained(mdl)
@@ -29,7 +23,7 @@ iface = gr.Interface(
     inputs=[
         gr.Image(),
         gr.Dropdown(
-            ['anuashok/ocr-captcha-v3','anuashok/ocr-captcha-v2','anuashok/ocr-captcha-v1','microsoft/trocr-base-printed','dragonstar/image-text-captcha-v2','chanelcolgate/trocr-base-printed_captcha_ocr'], label='Model to use'
+            ['anuashok/ocr-captcha-v3','anuashok/ocr-captcha-v2','anuashok/ocr-captcha-v1','microsoft/trocr-base-printed'], label='Model to use'
         )
     ],
     outputs=['text'],
@@ -37,10 +31,10 @@ iface = gr.Interface(
     description = "Using some TrOCR models found on the HF Hub to test/break tough text captchas. Will you have to train your own?",
     examples = [
         ['krcx5.jpg','anuashok/ocr-captcha-v3'],
-        ['hyp2a.jpg','dragonstar/image-text-captcha-v2'],
-        ['k4kyf.jpg','chanelcolgate/trocr-base-printed_captcha_ocr']
+        ['hyp2a.jpg','microsoft/trocr-base-printed'],
+        ['k4kyf.jpg','anuashok/ocr-captcha-v2']
     ],
-    article="Created by JSGR with :red_heart-emoji: and hope!!!"
+    article="Created by JSGR with ❤️ !!!"
 )
 
 iface.queue(max_size=10)