Update app.py
Browse files
app.py
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@@ -2,10 +2,6 @@ import torch
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from transformers import (T5ForConditionalGeneration,T5Tokenizer)
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import gradio as gr
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def set_seed(seed):
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torch.manual_seed(seed)
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set_seed(42)
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best_model_path = "aditi2222/t5-paraphrase"
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model = T5ForConditionalGeneration.from_pretrained(best_model_path)
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tokenizer = T5Tokenizer.from_pretrained("aditi2222/t5-paraphrase")
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from transformers import (T5ForConditionalGeneration,T5Tokenizer)
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import gradio as gr
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best_model_path = "aditi2222/t5-paraphrase"
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model = T5ForConditionalGeneration.from_pretrained(best_model_path)
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tokenizer = T5Tokenizer.from_pretrained("aditi2222/t5-paraphrase")
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