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Thomas Chaigneau
commited on
Commit
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9592801
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Parent(s):
954d57f
init app
Browse files- README.md +3 -3
- available_models.py +32 -0
- hugging.svg +19 -0
- main.py +88 -0
- requirements.txt +1 -0
README.md
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---
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title: Translator
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emoji:
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colorFrom:
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colorTo: pink
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sdk: streamlit
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app_file:
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pinned: false
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---
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---
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title: Translator
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emoji: π£οΈ
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colorFrom: blue
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colorTo: pink
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sdk: streamlit
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app_file: main.py
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pinned: false
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---
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available_models.py
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"""π£οΈ Translator - Translate text from one language to another.
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MODELS list all available models.
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"""
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MODELS = {
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"π¬π§ English->π¬π§ English": [0,],
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"π¬π§ English->π«π· French": ["Helsinki-NLP/opus-mt-en-fr", "https://huggingface.co/Helsinki-NLP/opus-mt-en-fr"],
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"π¬π§ English->π©πͺ German": ["Helsinki-NLP/opus-mt-en-de", "https://huggingface.co/Helsinki-NLP/opus-mt-en-de"],
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"π¬π§ English->πͺπΈ Spanish": ["Helsinki-NLP/opus-mt-en-es", "https://huggingface.co/Helsinki-NLP/opus-mt-en-es"],
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"π¬π§ English->π·πΊ Russian": ["Helsinki-NLP/opus-mt-en-ru", "https://huggingface.co/Helsinki-NLP/opus-mt-en-ru"],
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"π«π· French->π«π· French": 0,
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"π«π· French->π¬π§ English": ["Helsinki-NLP/opus-mt-fr-en", "https://huggingface.co/Helsinki-NLP/opus-mt-fr-en"],
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"π«π· French->π©πͺ German": ["Helsinki-NLP/opus-mt-fr-de", "https://huggingface.co/Helsinki-NLP/opus-mt-fr-de"],
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"π«π· French->πͺπΈ Spanish": ["Helsinki-NLP/opus-mt-fr-es", "https://huggingface.co/Helsinki-NLP/opus-mt-fr-es"],
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"π«π· French->π·πΊ Russian": ["Helsinki-NLP/opus-mt-fr-ru", "https://huggingface.co/Helsinki-NLP/opus-mt-fr-ru"],
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"πͺπΈ Spanish->πͺπΈ Spanish": 0,
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"πͺπΈ Spanish->π¬π§ English": ["Helsinki-NLP/opus-mt-es-en", "https://huggingface.co/Helsinki-NLP/opus-mt-es-en"],
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"πͺπΈ Spanish->π©πͺ German": ["Helsinki-NLP/opus-mt-es-de", "https://huggingface.co/Helsinki-NLP/opus-mt-es-de"],
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"πͺπΈ Spanish->π«π· French": ["Helsinki-NLP/opus-mt-es-fr", "https://huggingface.co/Helsinki-NLP/opus-mt-es-fr"],
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"πͺπΈ Spanish->π·πΊ Russian": ["Helsinki-NLP/opus-mt-es-ru", "https://huggingface.co/Helsinki-NLP/opus-mt-es-ru"],
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"π©πͺ German->π©πͺ German": 0,
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"π©πͺ German->π¬π§ English": ["Helsinki-NLP/opus-mt-de-en", "https://huggingface.co/Helsinki-NLP/opus-mt-de-en"],
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"π©πͺ German->πͺπΈ Spanish": ["Helsinki-NLP/opus-mt-de-es", "https://huggingface.co/Helsinki-NLP/opus-mt-de-es"],
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"π©πͺ German->π«π· French": ["Helsinki-NLP/opus-mt-de-fr", "https://huggingface.co/Helsinki-NLP/opus-mt-de-fr"],
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"π©πͺ German->π·πΊ Russian": None,
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"π·πΊ Russian->π·πΊ Russian": 0,
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"π·πΊ Russian->π¬π§ English": ["Helsinki-NLP/opus-mt-ru-en", "https://huggingface.co/Helsinki-NLP/opus-mt-ru-en"],
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"π·πΊ Russian->πͺπΈ Spanish": ["Helsinki-NLP/opus-mt-ru-es", "https://huggingface.co/Helsinki-NLP/opus-mt-ru-es"],
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"π·πΊ Russian->π«π· French": ["Helsinki-NLP/opus-mt-ru-fr", "https://huggingface.co/Helsinki-NLP/opus-mt-ru-fr"],
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"π·πΊ Russian->π©πͺ German": None,
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}
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hugging.svg
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main.py
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import re
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import streamlit as st
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from transformers import pipeline
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from available_models import MODELS
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st.set_page_config(page_title="Translator", page_icon="π£οΈ")
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st.title("π£οΈ Translator")
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st.markdown("""
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[![GitHub](https://img.shields.io/badge/-%23121011.svg?style=for-the-badge&logo=github&logoColor=white)](https://github.com/ChainYo)
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[![HuggingFace](https://img.shields.io/badge/-yellow.svg?style=for-the-badge&logo=data:image/svg+xml;base64,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)](https://huggingface.co/ChainYo)
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[![LinkedIn](https://img.shields.io/badge/-%230077B5.svg?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/thomas-chaigneau-dev/)
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[![Discord](https://img.shields.io/badge/Chainyo%233610-%237289DA.svg?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/)
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""")
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st.subheader("Translation made fast and easy.")
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with st.expander("β How does it work"):
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st.markdown("""
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**Translator** is a **simple tool** that allows you to **translate text** from one language to another.
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**Translator** is powered by the [Transformers library](https://huggingface.co/transformers) and uses the
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[Helsinki-NLP](https://huggingface.co/Helsinki-NLP) models.
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Choose the **source language** and the **target language** and the **text to translate**.
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**Translator** will translate the text and **save the output in a text file**. It cuts the text following
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punctuation marks.
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The output file content will also be displayed in the browser to help you to understand the translation and choose
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if you want to download it.
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There is **no limit to the number of characters** that can be translated.
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The only limit is the time you are ready to wait! π€
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*P.S. I have built this tool to help me to start writing blog posts in different languages. I am a French native speaker
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and I will use it to translate my potential future blog posts in English.*
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*P.P.S. I am an **AI developer** passionate about **machine learning** and **data science**. Reach me by clicking on
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the socials badges above.*
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""")
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lang1, lang2 = st.columns(2)
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lang1.selectbox(
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"Source Language", ["π¬π§ English", "π«π· French", "π©πͺ German", "πͺπΈ Spanish", "π·πΊ Russian"],
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key="input_lang", index=1,
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)
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lang2.selectbox(
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"Target Language", ["π¬π§ English", "π«π· French", "π©πͺ German", "πͺπΈ Spanish", "π·πΊ Russian"],
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key="output_lang", index=0,
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)
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selected_model = MODELS[f"{st.session_state['input_lang']}->{st.session_state['output_lang']}"]
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st.markdown(f"""
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**Selected model:** [{selected_model[0]}]({selected_model[1]})
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""")
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if selected_model[0] == None:
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st.write("No model available for this pair.")
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elif selected_model[0] == 0:
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st.write("No translation necessary.")
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else:
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input_text = st.text_area("Enter text to translate:", height=400, key="input")
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translate_text = st.button("Translate")
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if translate_text:
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with st.spinner(text="βοΈ Model loading..."):
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task = pipeline(
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"translation",
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model=selected_model[0],
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tokenizer=selected_model[0],
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)
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progress_bar = st.progress(0)
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with st.spinner(text="π Translating..."):
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text_to_translate = re.split('(?<=[.!?]) +', input_text)
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total_progress = len(text_to_translate)
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for i, text in enumerate(text_to_translate):
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translation = task(text)
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text_to_translate[i] = translation[0]["translation_text"]
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progress_bar.progress((i + 1) / total_progress)
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st.success("π£οΈ Translated!")
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st.session_state["translation_count"] += 1
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st.write(f"**Translation:** {' '.join(text_to_translate)}")
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st.download_button("Download translated text", "\n".join(text_to_translate), "text/plain")
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requirements.txt
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streamlit==1.3.1
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