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Update app.py
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app.py
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import awesome_streamlit as ast
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import streamlit as st
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from
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from
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import streamlit as st
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from flair.data import Sentence
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from flair.models import SequenceTagger
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import os
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# Load the Flair model
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model_path = "onurkeles/hamshetsnag-pos-tagger"
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pos_tagger = SequenceTagger.load(model_path)
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def tag_pos(text, detailed_output):
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"""Tag parts of speech in a given text, with optional detailed output."""
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sentence = Sentence(text)
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pos_tagger.predict(sentence)
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if detailed_output:
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# Generate detailed information with tag values and probabilities
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return "\n".join(
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[f"{token.text}: {token.get_tag('pos').value} ({token.get_tag('pos').score:.2f})" for token in sentence]
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)
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else:
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# Return a simple tagged string
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return sentence.to_tagged_string()
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def home_page():
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"""Displays the home page content."""
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st.markdown(
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"""
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<h1 style="text-align:left;">Hamshetsnag POS Tagger</h1>
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""",
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unsafe_allow_html=True,
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)
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st.write("#")
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col = st.columns(2)
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# Include an image/logo for branding
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col[0].image("images/cauldron.jpg", width=100)
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st.markdown(
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"""
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<h3 style="text-align:left;">A POS Tagging Tool for the Hamshetsnag Language</h3>
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""", unsafe_allow_html=True,
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)
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st.markdown(
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"""
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**Features:**
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- Tags parts of speech in Hamshetsnag text.
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- Utilizes a fine-tuned model specifically for this language.
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- Configurable parameters for customizing tagging behavior.
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Refer to the [paper](http://kelesonur.github.io/folder/hms_abstract.pdf) for more details.
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### Citation:
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```bibtex
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@inproceedings{keles2024hamshetsnag,
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title={Transfer Learning to the Rescue! Cross-Lingual Transfer for POS Tagging in an Endangered Language: Hamshetsnag},
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author={Onur Keleş and Baran Günay},
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booktitle={Turkey Computational Social Science Conference},
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year={2024},
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address={Koç University: Istanbul, Turkey}
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}
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```
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"""
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)
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st.markdown(
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"""
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<p style="text-align:right;"><em>Please use this tool responsibly and double-check all outputs.</em></p>
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""",
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unsafe_allow_html=True,
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)
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def pos_tagging_page():
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"""Displays the POS tagging page content."""
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st.markdown("# Part-of-Speech Tagging for Hamshetsnag")
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st.sidebar.header("POS Tagging")
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st.write(
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'''Detect parts of speech in Hamshetsnag text using the fine-tuned model.'''
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)
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# Sidebar for configurations
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st.sidebar.subheader("Configurable Parameters")
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# Detailed Output Checkbox
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detailed_output = st.sidebar.checkbox(
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"Detailed Output",
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value=False,
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help="If checked, output shows detailed tag information (probability scores, etc.).",
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)
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# Input field for text
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input_text = st.text_area(label='Enter a text: ', height=100, value="Put example text here.")
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# Provide example sentences with translations
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example_sentences = [
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"tuute acertsetser topoldetser. aaav ta? (TR: Kâğıdı büzüştürdün attın. Oldu mu?)",
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"Baran u Baden teran. (TR: Baran ve Bade koştu.)",
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"Onurun ennush nu İremin terchushe intzi shad kızdırmısh aaav. (TR: Onur'un düşüşü ve İrem'in koşuşu beni kızdırdı.)"
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]
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st.write("## Example Sentences:")
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for example in example_sentences:
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if st.button(f"Use: {example.split('(TR:')[0].strip()}"):
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input_text = example.split('(TR:')[0].strip() # Update the input text directly with the Hamshetsnag part
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break # Only use the first clicked example
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if st.button("Tag POS"):
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with st.spinner('Processing...'):
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# Tag the input text and format output as per settings
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output = tag_pos(input_text, detailed_output)
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st.success(output)
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def main():
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st.set_page_config(
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page_title="Hamshetsnag POS Tagger",
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page_icon="📚",
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layout='wide'
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)
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# Dictionary mapping pages
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PAGES = {
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"Home": home_page,
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"POS Tagging": pos_tagging_page,
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}
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st.sidebar.title("Navigation")
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selection = st.sidebar.radio("Pages", list(PAGES.keys()))
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# Load and display the selected page
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PAGES[selection]()
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st.sidebar.header("Info")
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st.sidebar.write(
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"Models available on [HF Hub](https://huggingface.co/onurkeles/hamshetsnag-pos-tagger)"
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)
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st.sidebar.write(
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"Model source code available on [GitHub](http://github.com/kelesonur)"
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)
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if __name__ == "__main__":
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main()
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