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Create burrito.py
Browse files- burrito.py +27 -0
burrito.py
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import streamlit as st
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from transformers import MarianMTModel, MarianTokenizer
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# Title of the app
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st.title('French to English Translator')
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# Load the tokenizer and model
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tokenizer = MarianTokenizer.from_pretrained('Helsinki-NLP/opus-mt-fr-en')
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model = MarianMTModel.from_pretrained('Helsinki-NLP/opus-mt-fr-en')
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# Text area for user input
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user_input = st.text_area("Enter French text", "Bonjour le monde!")
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# Function to translate text
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def translate(text):
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# Tokenize the text
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inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=512)
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# Generate translation outputs
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translated = model.generate(**inputs)
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# Decode the translated text
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translated_text = tokenizer.batch_decode(translated, skip_special_tokens=True)[0]
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return translated_text
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# Button to perform translation
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if st.button('Translate'):
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translation = translate(user_input)
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st.write('English Translation:', translation)
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