| | import gradio as gr |
| | import os |
| | import markdown |
| | token=os.environ.get("TOKEN") |
| |
|
| | os.environ["GOOGLE_API_KEY"] = token |
| |
|
| | from llama_index.llms.gemini import Gemini |
| |
|
| | llm = Gemini() |
| |
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| |
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| |
|
| | source_languages = ["Francais", "English", "Spanish"] |
| | taget_languages = ['nzebi', 'Fang(ntumu)', 'gisir', 'dikota', 'yipunu', 'akele', 'Ghétsogo', 'Shimo', 'omyene_nkomi', 'isangu', 'Liwanzi'] |
| |
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| |
|
| | lang_files = {'nzebi': 'Inzèbi.txt', |
| | 'gisir':'Gisir.txt', |
| | 'dikota':'dd.txt', |
| | 'yipunu':'Yipunu.txt', |
| | 'akele':'Akélé.txt', |
| | 'Ghétsogo':'Ghétsogo.txt', |
| | 'Shimo':'Shimo.txt', |
| | 'omyene_nkomi':'Omyènè_Nkomi.txt', |
| | 'isangu':'Isangu.txt', |
| | 'Liwanzi':'Liwanzi.txt', |
| | 'Fang(ntumu)':'Fang(ntumu).txt'} |
| |
|
| | safe = [ |
| | { |
| | "category": "HARM_CATEGORY_HARASSMENT", |
| | "threshold": "BLOCK_NONE", |
| | }, |
| | { |
| | "category": "HARM_CATEGORY_HATE_SPEECH", |
| | "threshold": "BLOCK_NONE", |
| | }, |
| | { |
| | "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", |
| | "threshold": "BLOCK_NONE", |
| | }, |
| | { |
| | "category": "HARM_CATEGORY_DANGEROUS_CONTENT", |
| | "threshold": "BLOCK_NONE", |
| | }, |
| | ] |
| |
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| |
|
| | def main_fang(query): |
| | return "En maintenance " |
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|
| | """ |
| | GOOGLE_API_KEY = token # add your GOOGLE API key here |
| | os.environ["GOOGLE_API_KEY"] = GOOGLE_API_KEY |
| | #rom llama_index.llms import Gemini |
| | """ |
| |
|
| | async def translatee(input_text, source, target): |
| | targett = "dikota" |
| | chemin_fichier = lang_files[targett] |
| | with open(chemin_fichier, 'r', encoding='utf-8') as fichier: |
| | contenu_langue_arrivee = fichier.read() |
| | |
| | |
| | |
| | tt = f""" |
| | contexte : {contenu_langue_arrivee} |
| | |
| | |
| | Utillisez les éléments de contexte suivants pour répondre à la question à la fin. Si vous ne connaissez pas la réponse,traduissez ce que vous pouvez et reecriver les autre comme ca , n'essayez pas d'inventer une réponse. Je veux que tu agisses comme un traducteur {source}-{target}. Je parle en {source} et tu traduis en {target} en te basant sur le contexte. Je ne veux aucune explication. Juste la réponse. Traduit ca < {input_text} >""" |
| | |
| | |
| | |
| | |
| | response = await llm.acomplete(tt,safety_settings=safe) |
| |
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| | |
| | print(input_text) |
| | print(f"{target}") |
| | |
| | |
| | |
| | |
| | |
| | |
| | print(response) |
| | return response |
| |
|
| | with gr.Blocks() as demo: |
| | gr.HTML("""<html> |
| | <head> |
| | <style> |
| | h1 { |
| | text-align: center; |
| | } |
| | </style> |
| | </head> |
| | <body> |
| | <h1>BOMA LANGUE </h1> |
| | </body> |
| | </html>""") |
| | with gr.Row(): |
| | with gr.Column(): |
| | source_language_dropdown = gr.Dropdown(choices=source_languages, |
| | value="Auto Detect", |
| | label="Source Language") |
| | input_textbox = gr.Textbox(lines=5, placeholder="Enter text to translate", label="Input Text") |
| | with gr.Column(): |
| | target_language_dropdown = gr.Dropdown(choices=taget_languages, |
| | value="English", |
| | label="Target Language") |
| | translated_textbox = gr.Textbox(lines=5, placeholder="", label="Translated Text") |
| | btn = gr.Button("Translate") |
| | btn.click(translatee, inputs=[input_textbox, |
| | source_language_dropdown, |
| | target_language_dropdown], |
| | outputs=translated_textbox) |
| |
|
| | if __name__ == "__main__": |
| | demo.launch() |
| | |
