vibey commited on
Commit
e7c886a
·
1 Parent(s): d4ce5ca

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +6 -6
app.py CHANGED
@@ -65,8 +65,8 @@ def main():
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  with st.spinner(
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  text="Loading Bart Model and Extracting summary. This might take a few seconds depending on the length of your text..."):
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  summarizer_model = bart()
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- global summarized_text = summarizer_model(text_to_summarize, max_length=max_length ,min_length=min_length)
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- global summarized_text = ' '.join([summ['summary_text'] for summ in summarized_text])
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  elif model_type == "T5":
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  text_to_summarize = clean_text
@@ -74,8 +74,8 @@ def main():
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  with st.spinner(
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  text="Loading T5 Model and Extracting summary. This might take a few seconds depending on the length of your text..."):
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  summarizer_model = t5()
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- global summarized_text = summarizer_model(text_to_summarize, max_length=max_length, min_length=min_length)
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- global summarized_text = ' '.join([summ['summary_text'] for summ in summarized_text])
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  elif model_type == "ssr":
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  text_to_summarize = clean_text
@@ -83,8 +83,8 @@ def main():
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  with st.spinner(
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  text="Loading SSR Model and Extracting summary. This might take a few seconds depending on the length of your text..."):
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  summarizer_model = ssr()
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- global summarized_text = summarizer_model(text_to_summarize, max_length=max_length, min_length=min_length)
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- global summarized_text = ' '.join([summ['summary_text'] for summ in summarized_text])
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  res_col1 ,res_col2 = st.columns(2)
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  with res_col1:
 
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  with st.spinner(
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  text="Loading Bart Model and Extracting summary. This might take a few seconds depending on the length of your text..."):
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  summarizer_model = bart()
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+ summarized_text = summarizer_model(text_to_summarize, max_length=max_length ,min_length=min_length)
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+ summarized_text = ' '.join([summ['summary_text'] for summ in summarized_text])
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  elif model_type == "T5":
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  text_to_summarize = clean_text
 
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  with st.spinner(
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  text="Loading T5 Model and Extracting summary. This might take a few seconds depending on the length of your text..."):
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  summarizer_model = t5()
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+ summarized_text = summarizer_model(text_to_summarize, max_length=max_length, min_length=min_length)
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+ summarized_text = ' '.join([summ['summary_text'] for summ in summarized_text])
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  elif model_type == "ssr":
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  text_to_summarize = clean_text
 
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  with st.spinner(
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  text="Loading SSR Model and Extracting summary. This might take a few seconds depending on the length of your text..."):
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  summarizer_model = ssr()
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+ summarized_text = summarizer_model(text_to_summarize, max_length=max_length, min_length=min_length)
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+ summarized_text = ' '.join([summ['summary_text'] for summ in summarized_text])
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  res_col1 ,res_col2 = st.columns(2)
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  with res_col1: