app.py

from flask import Flask, render_template, request, jsonify
import os
import google.generativeai as genai
import time 

app = Flask(__name__)

# Configuration
token = os.environ.get("TOKEN")
if not token:
    raise ValueError("La variable d'environnement TOKEN n'est pas définie.")

genai.configure(api_key=token)

generation_config = {
    "temperature": 1,
    "max_output_tokens": 8192,
}

safety_settings = [
    {"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"},
]

model = genai.GenerativeModel(
    model_name="gemini-1.5-flash-002",
    generation_config=generation_config,
    safety_settings=safety_settings
)

source_languages = ["Francais", "English", "Spanish"]
target_languages = ['nzebi', 'Fang(ntumu)','Fang(complet)','dikota', 'yipunu', 'omyene_nkomi']

lang_files = {
    'nzebi': 'Inzèbi.txt',
    'gisir': 'Gisir.txt',
    'dikota': 'dd.txt',
    'yipunu': 'yipunu.pdf',
    'Fang(complet)':'document_modifie.pdf',
    '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'
}

def main_fang(query):
    return "En maintenance"

async def translate(input_text, source, target):
    if target == 'yipunu':
        try:
            pdf_path = lang_files[target]
            d = time.time()
            if not os.path.exists(pdf_path):
                return f"Erreur: Le fichier {pdf_path} n'existe pas."
            
            sample_file = genai.upload_file(path=pdf_path, display_name="yipunu-reference")
            s = time.time()
            print(s-d)
            
            prompt = f"""
            Using the provided Yipunu language reference PDF, translate the following text:
            Input text: {input_text}
            
            Please provide only the translation without any additional explanation.
            """
            
            print(input_text)
            content = [sample_file, prompt]
            response = model.generate_content(content, request_options={"timeout": 600})
            
            genai.delete_file(sample_file.name)
            print(response.text)
            return response.text
            
        except Exception as e:
            return f"Erreur lors de la traduction: {str(e)}"

    elif target == 'Fang(complet)':
        try:
            pdf_path = lang_files[target]
            d = time.time()
            if not os.path.exists(pdf_path):
                return f"Erreur: Le fichier {pdf_path} n'existe pas."
            
            sample_file = genai.upload_file(path=pdf_path, display_name="yipunu-reference")
            s = time.time()
            print(s-d)
            
            prompt = f"""
            Using the provided Fang language reference PDF, translate the following text:
            Input text: {input_text}
            
            Please provide only the translation without any additional explanation.
            """
            
            print(input_text)
            content = [sample_file, prompt]
            response = model.generate_content(content, request_options={"timeout": 600})
            
            genai.delete_file(sample_file.name)
            print(response.text)
            return response.text
            
        except Exception as e:
            return f"Erreur lors de la traduction: {str(e)}"
    
    else:
        chemin_fichier = lang_files[target]
        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, traduisez 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 {target}. Je parle en français et tu traduis en {target} en 
        te basant sur le contexte. Je ne veux aucune explication. Juste la réponse. 
        Traduit ca < {input_text} >
        """
        print(input_text)
        response = model.generate_content(tt)
        print(response.text)
        return response.text

@app.route('/', methods=['GET', 'POST'])
def index():
    if request.method == 'POST':
        input_text = request.form['input_text']
        source_language = request.form['source_language']
        target_language = request.form['target_language']
        translated_text = translate(input_text, source_language, target_language)
        return jsonify({'translated_text': translated_text})
    return render_template('index.html', source_languages=source_languages, target_languages=target_languages)

if __name__ == '__main__':
    app.run(debug=True)