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Duplicate from Jour/Translate-bloomz

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  1. .gitattributes +27 -0
  2. README.md +14 -0
  3. app.py +52 -0
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README.md ADDED
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+ ---
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+ title: Translate With Bloom
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+ emoji: 🐠
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+ colorFrom: yellow
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+ colorTo: pink
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+ sdk: gradio
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+ sdk_version: 3.0.26
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+ app_file: app.py
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+ pinned: false
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+ license: mit
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+ duplicated_from: Jour/Translate-bloomz
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.py ADDED
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+ import gradio as gr
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+ import requests
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+ import json
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+ import os
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+
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+
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+ LANGUAGES = ['Akan', 'Arabic', ' Assamese', 'Bambara', 'Bengali', 'Catalan', 'English', 'Spanish', ' Basque', 'French', ' Gujarati', 'Hindi',
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+ 'Indonesian', 'Igbo', 'Kikuyu', 'Kannada', 'Ganda', 'Lingala', 'Malayalam', 'Marathi', 'Nepali', 'Chichewa', 'Oriya', 'Panjabi', 'Portuguese',
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+ 'Kirundi', 'Kinyarwanda', 'Shona', 'Sotho', 'Swahili', 'Tamil', 'Telugu', 'Tswana', 'Tsonga', 'Twi', 'Urdu', 'Viêt Namese', 'Wolof', 'Xhosa',
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+ 'Yoruba', 'Chinese', 'Zulu']
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+
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+ API_URL = "https://api-inference.huggingface.co/models/bigscience/bloomz"
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+
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+
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+ def translate(output, text):
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+ """Translate text from input language to output language"""
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+
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+ instruction = f"""Translatate to {output}: {text}\nTranslation: """
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+
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+ json_ = {
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+ "inputs": instruction,
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+ "parameters": {
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+ "return_full_text": True,
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+ "do_sample": False,
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+ "max_new_tokens": 250,
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+ },
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+ "options": {
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+ "use_cache": True,
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+ "wait_for_model": True,
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+ },
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+ }
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+ response = requests.request("POST", API_URL, json=json_)
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+ output = response.json()
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+
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+ return output
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+
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+ demo = gr.Blocks()
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+
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+ with demo:
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+ gr.Markdown("<h1><center>Translation with Bloom</center></h1>")
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+ gr.Markdown("<center>Translation in many language with mt0-xxl</center>")
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+
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+ with gr.Row():
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+ output_lang = gr.Dropdown(LANGUAGES, value='French', label='Select output language')
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+
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+ input_text = gr.Textbox(label="Input", lines=6)
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+ output_text = gr.Textbox(lines=6, label="Output")
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+
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+ buton = gr.Button("translate")
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+ buton.click(translate, inputs=[output_lang, input_text], outputs=output_text)
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+
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+ demo.launch(enable_queue=True, debug=True)