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Update app.py
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app.py
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@@ -7,7 +7,7 @@ tokenizer = AutoTokenizer.from_pretrained("PRAli22/flan-t5-base-imdb-text-classi
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def
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inputs = tokenizer.encode_plus(text, padding='max_length', max_length=512, return_tensors='pt')
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summarized_ids = model.generate(inputs['input_ids'], attention_mask=inputs['attention_mask'],
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max_length=150, num_beams=4, early_stopping=True)
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@@ -21,7 +21,7 @@ def sentimentt(text):
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css_code='body{background-image:url("https://media.istockphoto.com/id/1256252051/vector/people-using-online-translation-app.jpg?s=612x612&w=0&k=20&c=aa6ykHXnSwqKu31fFR6r6Y1bYMS5FMAU9yHqwwylA94=");}'
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demo = gr.Interface(
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fn=
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inputs=
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gr.Textbox(label="text", placeholder="Enter the text "),
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def summarize(text):
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inputs = tokenizer.encode_plus(text, padding='max_length', max_length=512, return_tensors='pt')
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summarized_ids = model.generate(inputs['input_ids'], attention_mask=inputs['attention_mask'],
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max_length=150, num_beams=4, early_stopping=True)
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css_code='body{background-image:url("https://media.istockphoto.com/id/1256252051/vector/people-using-online-translation-app.jpg?s=612x612&w=0&k=20&c=aa6ykHXnSwqKu31fFR6r6Y1bYMS5FMAU9yHqwwylA94=");}'
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demo = gr.Interface(
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fn=summarize,
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inputs=
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gr.Textbox(label="text", placeholder="Enter the text "),
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