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Update app.py
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app.py
CHANGED
@@ -1,15 +1,14 @@
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import os
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os.system('pip install streamlit transformers torch
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import streamlit as st
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from transformers import
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# Load the model and tokenizer
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model_name =
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model = PegasusForConditionalGeneration.from_pretrained(model_name)
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def summarize_text(text):
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inputs = tokenizer(text, return_tensors="pt", truncation=True, padding="longest")
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import os
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os.system('pip install streamlit transformers torch')
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import streamlit as st
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from transformers import BartTokenizer, BartForConditionalGeneration
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# Load the model and tokenizer
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model_name = 'llmahmad/facebook_BART_summary'
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tokenizer = BartTokenizer.from_pretrained(model_name)
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model = BartForConditionalGeneration.from_pretrained(model_name)
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def summarize_text(text):
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inputs = tokenizer(text, return_tensors="pt", truncation=True, padding="longest")
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