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Update app.py
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app.py
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@@ -2,8 +2,16 @@ import streamlit as st
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from transformers import T5Tokenizer, TFAutoModelForSeq2SeqLM, pipeline
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# Define the path to the saved model
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model_path = '/T5_samsum-20240723T171755Z-001
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# Load the tokenizer and model
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tokenizer = T5Tokenizer.from_pretrained(model_path)
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from transformers import T5Tokenizer, TFAutoModelForSeq2SeqLM, pipeline
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import zipfile
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# Define the path to the saved model zip file
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zip_model_path = 'T5_samsum-20240723T171755Z-001.zip'
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# Unzip the model
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with zipfile.ZipFile(zip_model_path, 'r') as zip_ref:
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zip_ref.extractall('./model')
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# Define the path to the saved model
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model_path = './model/T5_samsum-20240723T171755Z-001'
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# Load the tokenizer and model
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tokenizer = T5Tokenizer.from_pretrained(model_path)
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