Update app.py

app.py

@@ -16,10 +16,10 @@ import os
 
 tokenizer = T5Tokenizer.from_pretrained("AfnanAl/mT5small-ArabicSummary")
 
-model_name="AfnanAl/mT5small-ArabicSummary"
+#model_name="AfnanAl/mT5small-ArabicSummary"
 custom_output_path="AfnanAl/summaryAonnx"
 #modelO = quantize("AfnanAl/summaryAonnx")
-modelO=get_onnx_model(model_name, custom_output_path)
+modelO=get_onnx_model(custom_output_path)
 modelO.config.max_length=512
 def summaryA(Text):
   tokenized_text = tokenizer.encode(Text,return_tensors="pt")