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Update pages/about.py
Browse files- pages/about.py +33 -32
pages/about.py
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@@ -2,43 +2,44 @@ import streamlit as st
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import os
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def read_markdown(path, folder="./About/"):
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def load_page():
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import os
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def read_markdown(path, folder="./About/"):
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with open(os.path.join(folder, path)) as f:
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return f.read()
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def load_page():
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st.markdown(""" # T5 for Sentence Split in English """)
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st.markdown(""" ### Sentence Split is task of dividing complex sentence in two simple sentences """)
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st.markdown(""" ## Goal """)
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st.markdown(""" To make best sentence split model available till now """)
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st.markdown(""" ## How to use the Model """)
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st.markdown("""
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```python
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("flax-community/t5-base-wikisplit")
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model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/t5-base-wikisplit")
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complex_sentence = "This comedy drama is produced by Tidy , the company she co-founded in 2008 with her husband David Peet , who is managing director ."
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sample_tokenized = tokenizer(complex_sentence, return_tensors="pt")
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answer = model.generate(sample_tokenized['input_ids'], attention_mask = sample_tokenized['attention_mask'], max_length=256, num_beams=5)
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gene_sentence = tokenizer.decode(answer[0], skip_special_tokens=True)
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gene_sentence
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\"""
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Output:
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This comedy drama is produced by Tidy. She co-founded Tidy in 2008 with her husband David Peet, who is managing director.
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\"""
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``` """)
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st.markdown(read_markdown("datasets.md"))
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st.markdown(read_markdown("applications.md"))
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#st.markdown(read_markdown("baseline.md"))
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st.markdown(read_markdown("results.md"))
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st.markdown(read_markdown("accomplishments.md"))
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st.markdown(read_markdown("gitrepo.md"))
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st.markdown(read_markdown("contributors.md"))
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st.markdown(read_markdown("credits.md"))
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