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| import streamlit as st | |
| import torch | |
| from transformers import AutoTokenizer, AutoModelForSeq2SeqLM | |
| #downloading tokenizer and model | |
| tokenizer = AutoTokenizer.from_pretrained("tuner007/pegasus_summarizer") | |
| model = AutoModelForSeq2SeqLM.from_pretrained("tuner007/pegasus_summarizer") | |
| st.markdown(""" <style> .font { | |
| font-size:50px ; font-family: "Helvetica"; color: #FF9633;} | |
| </style> """, unsafe_allow_html=True) | |
| st.markdown('<p class="font">Now anyone can be a content marketer!</p>', unsafe_allow_html=True) | |
| st.markdown('#') | |
| st.subheader("Don't you wish there was a faster way to summarise your news articles and share it up onto your favourite social media platforms.") | |
| st.markdown('##') | |
| st.markdown(""" #### LorSor helps you through a simple 3 stage process. | |
| Step 1: Copy and paste the complete article text in here | |
| (*Coming soon* - Just paste the article URL) | |
| Step 2: Evaluate the generated summary and make minor edits as required | |
| Step 3: Copy and paste the summary when posting the article link to your social media | |
| (*Coming soon* - Login to social media and schedule your post and we'll automate the process) | |
| Kick back and think about what you're going to do with all the time that you've saved! | |
| Send any feedback to [us](mailto:lorsorlah@gmail.com) """) | |
| st.markdown('#') | |
| col1, col2 = st.columns(2) | |
| # @st.cache | |
| def get_response(input_text): | |
| batch = tokenizer([input_text],truncation=True,padding='longest',max_length=1024, return_tensors="pt").to('cpu') | |
| gen_out = model.generate(**batch,max_length=128,num_beams=5, num_return_sequences=1, temperature=1.5) | |
| output_text = tokenizer.batch_decode(gen_out, skip_special_tokens=True) | |
| return output_text | |
| with col1: | |
| col1.header("Step 1:") | |
| raw_text = st.text_area('Paste the full article text to summarize here...') | |
| summary_button = st.button("Summarize this") | |
| if summary_button: | |
| if len(raw_text) < 10: | |
| summary = "<< Add some text in ( Step 1 ) for me to summarize >>" | |
| else: | |
| summary = get_response(raw_text) | |
| with col2: | |
| col2.header("Step 2:") | |
| dummy_text = "<< Add some text in ( Step 1 ) for me to summarize >>" | |
| if len(summary) < 10: | |
| intial_output = dummy_text | |
| else: | |
| intial_output = summary | |
| y = st.text_area("Here is the completed summary for you to edit", intial_output) | |
| st.button("Submit edits") | |
| # st.balloons() |