Update app.py

app.py

@@ -9,31 +9,29 @@ import os
 #import gdown
 #url = 'https://drive.google.com/drive/folders/135hTTURfjn43fo4f?usp=sharing'  # I'm showing a fake token
 #gdown.download_folder(url)
-os.system("pip install huggingface_hub")
+#os.system("pip install huggingface_hub")
 #os.system("git clone https://huggingface.co/AfnanAl/summaryAonnx")
 
-from huggingface_hub import Repository
-repo = Repository(
-    local_dir = 'summaryAonnx', 
-    clone_from='AfnanAl/summaryAonnx'
-)
+
 
 #m=os.system("gdown https://drive.google.com/file/d/152leR0f_2RXIVyZxV1ZYDpRMMYYGBhOk/view?usp=sharing")
 
 #os.system("unzip 'summary-T5_v6.zip'")
 
 tokenizer = T5Tokenizer.from_pretrained("AfnanAl/mT5small-ArabicSummary")
+model = AutoModelForSeq2SeqLM.from_pretrained("AfnanAl/mT5small-ArabicSummary")
+model.config.max_length=512
 
-model_name="AfnanAl/mT5small-ArabicSummary"
-custom_output_path="summaryAonnx/"
+#model_name="AfnanAl/mT5small-ArabicSummary"
+#custom_output_path="summaryAonnx/"
 
 #print(quantized_model)
 #modelO = quantize("AfnanAl/summaryAonnx")
-modelO=get_onnx_model(model_name, custom_output_path)
-modelO.config.max_length=512
+#modelO=get_onnx_model(model_name, custom_output_path)
+#modelO.config.max_length=512
 def summaryA(Text):
   tokenized_text = tokenizer.encode(Text,return_tensors="pt")
-  summary_ids = modelO.generate(
+  summary_ids = model.generate(
       tokenized_text,
       num_beams=4,
       length_penalty=2.0,