Labrak Yanis commited on
Commit
049266b
1 Parent(s): d407670
Files changed (2) hide show
  1. app.py +75 -29
  2. gradio_app.py +29 -0
app.py CHANGED
@@ -1,29 +1,75 @@
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- import gradio as gr
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-
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- from flair.data import Sentence
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- from flair.models import SequenceTagger
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-
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- # Load the model
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- model = SequenceTagger.load("qanastek/pos-french")
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-
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- def getPartOfSpeechFR(content):
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-
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- # George Washington est allé à Washington
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-
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- sentence = Sentence(content)
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-
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- # predict tags
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- model.predict(sentence)
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-
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- # print predicted pos tags
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- res = sentence.to_tagged_string()
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-
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- return res
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-
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- iface = gr.Interface(
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- title="🥖 French Part Of Speech Tagging",
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- fn=getPartOfSpeechFR,
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- inputs="textbox",
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- outputs="textbox",
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- )
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- iface.launch()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ import time
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+
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+ import errant
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+ import streamlit as st
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+
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+ from flair.data import Sentence
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+ from flair.models import SequenceTagger
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+
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+ from highlighter import show_highlights
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+
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+ checkpoints = [
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+ "qanastek/pos-french",
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+ ]
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+
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+ @st.cache(suppress_st_warning=True, allow_output_mutation=True)
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+ def get_model(model_name):
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+
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+ # Load the model
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+ return SequenceTagger.load(model_name)
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+
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+ @st.cache(suppress_st_warning=True, allow_output_mutation=True)
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+ def get_annotator(lang: str):
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+ return errant.load(lang)
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+
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+
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+ def main():
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+
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+ st.title("🥖 French-Part-Of-Speech-Tagging")
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+
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+ annotator = get_annotator("fr")
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+ checkpoint = st.selectbox("Choose model", checkpoints)
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+ model = get_model(checkpoint)
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+
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+ default_text = "George Washington est allé à Washington"
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+ input_text = st.text_area(
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+ label="Original text",
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+ value=default_text,
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+ )
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+
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+ start = None
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+ if st.button("🧠 Compute"):
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+ start = time.time()
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+ with st.spinner("Search for Part-Of-Speech Tags 🔍"):
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+
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+ # Build Sentence
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+ sentence = Sentence(input_text)
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+
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+ # predict tags
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+ model.predict(sentence)
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+
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+ # print predicted pos tags
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+ result = sentence.to_tagged_string()
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+
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+ try:
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+ show_highlights(annotator, input_text, result)
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+ st.write("")
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+ st.success(result)
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+ except Exception as e:
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+ st.error("Some error occured!" + str(e))
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+ st.stop()
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+
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+ st.write("---")
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+ st.markdown(
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+ "Built by [Yanis Labrak](https://www.linkedin.com/in/yanis-labrak-8a7412145/) 🚀"
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+ )
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+ st.markdown(
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+ "_Source code made with [FlairNLP](https://github.com/flairNLP/flair)_"
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+ )
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+
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+ if start is not None:
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+ st.text(f"prediction took {time.time() - start:.2f}s")
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+
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+
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+ if __name__ == "__main__":
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+ main()
gradio_app.py ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ import gradio as gr
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+
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+ from flair.data import Sentence
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+ from flair.models import SequenceTagger
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+
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+ # Load the model
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+ model = SequenceTagger.load("qanastek/pos-french")
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+
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+ def getPartOfSpeechFR(content):
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+
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+ # George Washington est allé à Washington
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+
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+ sentence = Sentence(content)
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+
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+ # predict tags
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+ model.predict(sentence)
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+
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+ # print predicted pos tags
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+ res = sentence.to_tagged_string()
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+
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+ return res
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+
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+ iface = gr.Interface(
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+ title="🥖 French Part Of Speech Tagging",
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+ fn=getPartOfSpeechFR,
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+ inputs="textbox",
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+ outputs="textbox",
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+ )
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+ iface.launch()