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Update app.py
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app.py
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@@ -1,12 +1,15 @@
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import gradio as gr
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import numpy as np
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from huggingface_hub import hf_hub_download
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REPO_ID_NLLB = "facebook/nllb-200-distilled-600M"
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REPO_ID_MARIANNMT_en = "mbarnig/MarianNMT-tatoeba-en-lb"
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REPO_ID_MARIANNMT_lb = "mbarnig/MarianNMT-tatoeba-lb-en"
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REPO_ID_T5MT5 = "mbarnig/T5-mt5-tatoeba-en-lb"
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my_title = "🇫🇷 Mir iwwersetzen vun an op Lëtzebuergesch ! 🇬🇧"
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my_description = "English-Luxembourgish machine translation (MT) demo based on 3 transforemr models: NLLB, MarianNMT & T5/mt5."
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@@ -21,4 +24,18 @@ TRANSLATION_DIRECTION = [
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"lb -> en"
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]
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EXAMPLE = "..."
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import gradio as gr
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import numpy as np
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from huggingface_hub import hf_hub_download
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from transformers import pipeline
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REPO_ID_NLLB = "facebook/nllb-200-distilled-600M"
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REPO_ID_MARIANNMT_en = "mbarnig/MarianNMT-tatoeba-en-lb"
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REPO_ID_MARIANNMT_lb = "mbarnig/MarianNMT-tatoeba-lb-en"
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REPO_ID_T5MT5 = "mbarnig/T5-mt5-tatoeba-en-lb"
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translator = pipeline("translation", model=REPO_ID_NLLB)
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my_title = "🇫🇷 Mir iwwersetzen vun an op Lëtzebuergesch ! 🇬🇧"
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my_description = "English-Luxembourgish machine translation (MT) demo based on 3 transforemr models: NLLB, MarianNMT & T5/mt5."
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"lb -> en"
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]
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EXAMPLE = "..."
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my_input = gr.Textbox(label="Input")
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my_output = gr.Textbox(label="Translation")
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def iwwersetz(source_text):
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translation = translator(source_text)
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return translation
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demo=gr.Interface(
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fn=iwwersetz,
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inputs=my_input,
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outputs=my_output
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)
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demo.launch()
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