vibey commited on
Commit
b990b87
·
1 Parent(s): 3cbce23

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +2 -11
app.py CHANGED
@@ -39,7 +39,7 @@ def main():
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  st.sidebar.markdown("<h4 style = 'color:green; align:center; font-size: 20px;'> Model Settings</h1>", unsafe_allow_html=True)
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  max_length= st.sidebar.slider("Maximum length of the generated text",min_value=100,max_value=500)
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  min_length= st.sidebar.slider("Minimum length of the generated text",min_value=30)
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- model_type = st.sidebar.selectbox("Model type", options=["Bart","T5", "Bart + T5"])
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  # This function is used to upload a .txt, .pdf, .docx file for summarization
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  upload_doc = st.file_uploader("Upload a .txt, .pdf, .docx file for summarisation")
@@ -75,16 +75,7 @@ def main():
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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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-
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- elif model_type == "Bart + T5":
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- text_to_summarize = clean_text
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-
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- with st.spinner(
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- text="Loading Bart + T5 Models and Extracting summary. This might take a few seconds depending on the length of your text..."):
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- summarizer_model = bart_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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  res_col1 ,res_col2 = st.columns(2)
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  with res_col1:
 
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  st.sidebar.markdown("<h4 style = 'color:green; align:center; font-size: 20px;'> Model Settings</h1>", unsafe_allow_html=True)
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  max_length= st.sidebar.slider("Maximum length of the generated text",min_value=100,max_value=500)
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  min_length= st.sidebar.slider("Minimum length of the generated text",min_value=30)
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+ model_type = st.sidebar.selectbox("Model type", options=["Bart","T5",])
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  # This function is used to upload a .txt, .pdf, .docx file for summarization
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  upload_doc = st.file_uploader("Upload a .txt, .pdf, .docx file for summarisation")
 
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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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  res_col1 ,res_col2 = st.columns(2)
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  with res_col1: