Use Moroccan Standard Tamazight model.

app.py

@@ -4,11 +4,12 @@ from doctr.models import ocr_predictor, from_hub
 import gradio as gr
 
 os.environ['USE_TORCH'] = '1'
-reco_model = from_hub('ayymen/crnn_mobilenet_v3_large_tifinagh')
+reco_model = from_hub('ayymen/crnn_mobilenet_v3_large_zgh')
 predictor = ocr_predictor(reco_arch=reco_model, pretrained=True)
 
 title = "Tifinagh OCR"
-description = "Upload an image to get the OCR results!\n Thanks to @iseddik for the data!"
+description = """Upload an image to get the OCR results!
+Thanks to @iseddik for the data!"""
 
 def ocr(img):
     img.save("out.jpg")
@@ -19,7 +20,7 @@ def ocr(img):
         for obj1 in obj.blocks:
             for obj2 in obj1.lines:
                 for obj3 in obj2.words:
-                    res=res + " " + obj3.value
+                    res = res + " " + obj3.value
             res = res + "\n"
         res = res + "\n\n"
     _output_name = "RESULT_OCR.txt"