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| # translator.py - AI-Powered Translation System with Arabic Support | |
| import os | |
| from dotenv import load_dotenv | |
| import json | |
| import traceback | |
| from typing import Dict, List, Optional, Tuple | |
| import google.generativeai as genai | |
| import requests | |
| import streamlit as st | |
| class AITranslator: | |
| """ | |
| AI-powered translator using Gemini API with specialized Arabic support | |
| """ | |
| def __init__(self): | |
| self.model: Optional[object] = None | |
| self.init_error: Optional[str] = None | |
| self.supported_languages = { | |
| 'ar': 'Arabic (العربية)', | |
| 'en': 'English', | |
| 'fr': 'French (Français)', | |
| 'es': 'Spanish (Español)', | |
| 'de': 'German (Deutsch)', | |
| 'zh': 'Chinese (中文)', | |
| 'hi': 'Hindi (हिन्दी)', | |
| 'ur': 'Urdu (اردو)' | |
| } | |
| # Initialize providers | |
| load_dotenv() | |
| self._initialize_gemini() | |
| # Groq | |
| self.groq_api_key = os.getenv("GROQ_API_KEY") | |
| self.groq_model = os.getenv("GROQ_MODEL", "llama-3.3-70b-versatile") | |
| # OpenRouter (prefer free models) | |
| self.openrouter_api_key = os.getenv("OPENROUTER_API_KEY") | |
| self.openrouter_model = os.getenv("OPENROUTER_MODEL") # if not set, try common free models | |
| self.openrouter_site_url = os.getenv("OPENROUTER_SITE_URL", "http://localhost") | |
| self.openrouter_site_title = os.getenv("OPENROUTER_SITE_TITLE", "LocalApp") | |
| def _initialize_gemini(self): | |
| """Initialize Gemini AI client using the new API structure.""" | |
| try: | |
| load_dotenv() | |
| api_key = os.getenv("GEMINI_API_KEY") | |
| if not api_key: | |
| # This error is handled by the main app now, but we keep a fallback. | |
| self.init_error = "GEMINI_API_KEY not found." | |
| return | |
| genai.configure(api_key=api_key) | |
| self.model = genai.GenerativeModel('gemini-1.5-flash') | |
| except Exception as e: | |
| self.init_error = f"FATAL ERROR during Gemini Init: {str(e)}" | |
| self.model = None | |
| def translate_text(self, text: str, target_language: str = 'ar', source_language: str = 'auto') -> Tuple[Optional[str], Optional[str]]: | |
| """ | |
| Translate text to target language using Gemini AI | |
| Args: | |
| text: Text to translate | |
| target_language: Target language code ('ar' for Arabic) | |
| source_language: Source language code ('auto' for auto-detection) | |
| Returns: | |
| Tuple of (translated_text, error_message) | |
| """ | |
| if not text or not text.strip(): | |
| return None, "ERROR: Empty text provided for translation." | |
| try: | |
| target_lang_name = self.supported_languages.get(target_language, target_language) | |
| prompt = self._create_translation_prompt(text, target_lang_name, target_language) | |
| # Primary: Gemini | |
| gem_err = None | |
| if self.model: | |
| try: | |
| response = self.model.generate_content(prompt) | |
| if response and hasattr(response, 'text') and response.text: | |
| translated_text = response.text.strip() | |
| translated_text = self._clean_translation_output(translated_text) | |
| return translated_text, None | |
| gem_err = "WARNING: Gemini returned empty translation response." | |
| except Exception: | |
| gem_err = f"Gemini translation failed: {traceback.format_exc()}" | |
| # Fallback: OpenRouter (free models if possible) | |
| rtxt, rerr = self._openrouter_complete(prompt) | |
| if rtxt: | |
| return self._clean_translation_output(rtxt), None | |
| # Fallback: Groq | |
| gtxt, gerr = self._groq_complete(prompt) | |
| if gtxt: | |
| return self._clean_translation_output(gtxt), None | |
| return None, gerr or rerr or gem_err | |
| except Exception: | |
| error_msg = f"FATAL ERROR during translation: {traceback.format_exc()}" | |
| return None, error_msg | |
| def _create_translation_prompt(self, text: str, target_lang_name: str, target_lang_code: str) -> str: | |
| """Create optimized prompt for translation""" | |
| if target_lang_code == 'ar': | |
| # Specialized prompt for Arabic translation | |
| prompt = f""" | |
| Translate the following text to Arabic (العربية) with these requirements: | |
| 1. Maintain the original meaning accurately | |
| 2. Use Modern Standard Arabic (MSA) appropriate for academic contexts | |
| 3. Preserve technical terms when appropriate | |
| 4. Make it natural and fluent for Arabic speakers | |
| 5. For educational content, use clear and accessible language | |
| 6. Return ONLY the translated text without any explanations or formatting | |
| Text to translate: | |
| {text} | |
| """ | |
| else: | |
| # General prompt for other languages | |
| prompt = f""" | |
| Translate the following text to {target_lang_name} accurately while: | |
| 1. Maintaining the original meaning | |
| 2. Using appropriate formal/academic tone if the content appears educational | |
| 3. Preserving any technical terms appropriately | |
| 4. Making it natural and fluent for native speakers | |
| 5. Return ONLY the translated text without explanations | |
| Text to translate: | |
| {text} | |
| """ | |
| return prompt | |
| def _clean_translation_output(self, text: str) -> str: | |
| """Clean up translation output from any unwanted formatting""" | |
| # Remove common markdown artifacts | |
| text = text.replace('**', '').replace('*', '') | |
| text = text.replace('```', '').replace('`', '') | |
| # Remove any leading/trailing quotes | |
| text = text.strip('"\'') | |
| # Clean up extra whitespace | |
| text = ' '.join(text.split()) | |
| return text | |
| def explain_text_arabic(self, text: str, source_language: str = 'auto') -> Tuple[Optional[str], Optional[str]]: | |
| """Generate a detailed Arabic explanation (not a literal translation).""" | |
| # Don't hard fail if Gemini is unavailable; we'll fallback. | |
| if not text or not text.strip(): | |
| return None, "ERROR: Empty text provided for explanation." | |
| try: | |
| prompt = f""" | |
| أنت مُعلّم جامعي خبير. اشرح النص التالي باللغة العربية الفصحى المبسّطة كأنك تشرح لطلاب فصل دراسي. لا تترجم حرفياً؛ قدّم شرحاً تعليمياً منظّماً يساعد على الفهم والتطبيق. | |
| المتطلبات: | |
| 1) تمهيد مختصر للفكرة العامة. | |
| 2) شرح تفصيلي منظّم بعناوين فرعية، وتقسيم للأفكار. | |
| 3) أمثلة تطبيقية واقعية (٣–٥) توضّح الفكرة. | |
| 4) نقاط مُلخّصة أساسية (قائمة نقاط) تُثبّت المفاهيم. | |
| 5) مصطلحات رئيسية وتعريفات موجزة إن وُجدت. | |
| 6) أسئلة للمراجعة والتحفيز على التفكير. | |
| 7) أخطاء شائعة يجب تجنّبها إن وُجدت. | |
| 8) نصائح للتذكّر والاستذكار. | |
| إرشادات الإخراج: | |
| - استخدم العربية الفصحى سهلة وواضحة. | |
| - استخدم عناوين فرعية واضحة ونقاط تعداد (بدون تنسيق برمجي). | |
| - إذا كان النص الأصلي بغير العربية، انقله ذهنياً للشرح بالعربية دون سرد ترجمة حرفية. | |
| - أعِد الناتج كنص عربي فقط دون أكواد أو علامات Markdown إضافية. | |
| النص: | |
| {text} | |
| """ | |
| # Primary: Gemini | |
| gem_err = None | |
| if self.model: | |
| try: | |
| response = self.model.generate_content(prompt) | |
| if response and hasattr(response, 'text') and response.text: | |
| out = response.text.strip().replace('```', '').replace('`', '') | |
| return out, None | |
| gem_err = "WARNING: Gemini returned empty explanation response." | |
| except Exception: | |
| gem_err = f"Gemini explanation failed: {traceback.format_exc()}" | |
| # Fallback: OpenRouter (free) | |
| rtxt, rerr = self._openrouter_complete(prompt) | |
| if rtxt: | |
| out = rtxt.strip().replace('```', '').replace('`', '') | |
| return out, None | |
| # Fallback: Groq | |
| gtxt, gerr = self._groq_complete(prompt) | |
| if gtxt: | |
| out = gtxt.strip().replace('```', '').replace('`', '') | |
| return out, None | |
| return None, gerr or rerr or gem_err | |
| except Exception: | |
| return None, f"FATAL ERROR during Arabic explanation: {traceback.format_exc()}" | |
| def summarize_text_arabic(self, text: str, source_language: str = 'auto') -> Tuple[Optional[str], Optional[str]]: | |
| """Generate a concise Arabic bullet-point summary tied to the provided text with relevant examples.""" | |
| if not text or not text.strip(): | |
| return None, "ERROR: Empty text provided for summary." | |
| try: | |
| prompt = f""" | |
| اكتب ملخصاً بالعربية الفصحى للنص التالي، يبدأ بفقرة موجزة توضّح موضوع النص وما يدور حوله (شرح موجز دقيق)، ثم يتلوها نقاط رئيسية مُنظمة، وأبرز بعد ذلك "ملاحظات مهمة" يجب الانتباه لها، مع أمثلة موجزة ذات صلة. اجعل الناتج كله ضمن نص واحد دون تنسيقات برمجية. | |
| المخرجات ضمن نفس النص وبالترتيب: | |
| أولاً) فقرة موجزة تُعرّف موضوع النص وتلخّصه في 2–4 جُمل. | |
| ثانياً) نقاط رئيسية (3–7 نقاط) قصيرة وواضحة. | |
| ثالثاً) ملاحظات مهمة يجب الانتباه لها (1–4 نقاط) مميزة لفظياً (مثلاً: ملاحظة مهمة: ...). | |
| رابعاً) أمثلة موجزة ذات صلة (2–3) إن أمكن. | |
| خامساً) قائمة مصطلحات رئيسية (3–8) مع تعريف عربي موجز لكل مصطلح إن وُجدت. | |
| تعليمات الأسلوب: | |
| - لا تُطِل؛ كن موجزاً ودقيقاً ومباشراً. | |
| - لا تستخدم ترقيم برمجي أو Markdown؛ استخدم نصاً عادياً مع فواصل وأسطر فقط. | |
| - لا تُدخل معلومات غير موجودة في النص. | |
| النص: | |
| {text} | |
| """ | |
| # Primary: Gemini | |
| gem_err = None | |
| if self.model: | |
| try: | |
| response = self.model.generate_content(prompt) | |
| if response and hasattr(response, 'text') and response.text: | |
| out = response.text.strip().replace('```', '').replace('`', '') | |
| return out, None | |
| gem_err = "WARNING: Gemini returned empty summary response." | |
| except Exception: | |
| gem_err = f"Gemini summary failed: {traceback.format_exc()}" | |
| # Fallback: OpenRouter | |
| rtxt, rerr = self._openrouter_complete(prompt) | |
| if rtxt: | |
| out = rtxt.strip().replace('```', '').replace('`', '') | |
| return out, None | |
| # Fallback: Groq | |
| gtxt, gerr = self._groq_complete(prompt) | |
| if gtxt: | |
| out = gtxt.strip().replace('```', '').replace('`', '') | |
| return out, None | |
| return None, gerr or rerr or gem_err | |
| except Exception: | |
| return None, f"FATAL ERROR during Arabic summary: {traceback.format_exc()}" | |
| def summarize_text(self, text: str, target_language: str = 'ar', source_language: str = 'auto') -> Tuple[Optional[str], Optional[str]]: | |
| """Generate a concise bullet-point summary in the requested language. | |
| Defaults to Arabic; mirrors the structure used in summarize_text_arabic. | |
| """ | |
| if not text or not text.strip(): | |
| return None, "ERROR: Empty text provided for summary." | |
| try: | |
| target_lang_name = self.supported_languages.get(target_language, target_language) | |
| prompt = f""" | |
| Write a concise summary in {target_lang_name} for the following text. Start with a brief overview paragraph (2–4 sentences), then list key bullet points, important notes (clearly marked), short relevant examples, and a small glossary of key terms with brief definitions if applicable. Keep it compact and accurate. Return plain text only (no code blocks or markdown). | |
| Text: | |
| {text} | |
| """ | |
| # Primary: Gemini | |
| gem_err = None | |
| if self.model: | |
| try: | |
| response = self.model.generate_content(prompt) | |
| if response and hasattr(response, 'text') and response.text: | |
| out = response.text.strip().replace('```', '').replace('`', '') | |
| return out, None | |
| gem_err = "WARNING: Gemini returned empty summary response." | |
| except Exception: | |
| gem_err = f"Gemini summary failed: {traceback.format_exc()}" | |
| # Fallback: OpenRouter | |
| rtxt, rerr = self._openrouter_complete(prompt) | |
| if rtxt: | |
| out = rtxt.strip().replace('```', '').replace('`', '') | |
| return out, None | |
| # Fallback: Groq | |
| gtxt, gerr = self._groq_complete(prompt) | |
| if gtxt: | |
| out = gtxt.strip().replace('```', '').replace('`', '') | |
| return out, None | |
| return None, gerr or rerr or gem_err | |
| except Exception: | |
| return None, f"FATAL ERROR during summary: {traceback.format_exc()}" | |
| def _groq_complete(self, prompt: str) -> Tuple[Optional[str], Optional[str]]: | |
| """Call Groq chat completions with a single-turn system+user prompt. | |
| Returns (text, error). Uses GROQ_API_KEY and default model if available. | |
| """ | |
| try: | |
| if not self.groq_api_key: | |
| return None, "GROQ_API_KEY not set." | |
| url = "https://api.groq.com/openai/v1/chat/completions" | |
| headers = { | |
| "Authorization": f"Bearer {self.groq_api_key}", | |
| "Content-Type": "application/json", | |
| } | |
| body = { | |
| "model": self.groq_model, | |
| "messages": [ | |
| {"role": "system", "content": "You are a helpful assistant."}, | |
| {"role": "user", "content": prompt}, | |
| ], | |
| } | |
| resp = requests.post(url, headers=headers, json=body, timeout=30) | |
| if not resp.ok: | |
| try: | |
| err = resp.json() | |
| except Exception: | |
| err = {"error": resp.text} | |
| return None, f"Groq error {resp.status_code}: {err}" | |
| data = resp.json() | |
| choices = data.get("choices") or [] | |
| if not choices: | |
| return None, "Groq returned no choices." | |
| content = choices[0].get("message", {}).get("content") | |
| if not content: | |
| return None, "Groq returned empty content." | |
| return content, None | |
| except Exception: | |
| return None, f"Groq request failed: {traceback.format_exc()}" | |
| def _openrouter_complete(self, prompt: str) -> Tuple[Optional[str], Optional[str]]: | |
| """Call OpenRouter chat completions. Tries configured model or a list of free candidates. | |
| Returns (text, error). | |
| """ | |
| try: | |
| if not self.openrouter_api_key: | |
| return None, "OPENROUTER_API_KEY not set." | |
| url = "https://openrouter.ai/api/v1/chat/completions" | |
| headers = { | |
| "Authorization": f"Bearer {self.openrouter_api_key}", | |
| "Content-Type": "application/json", | |
| "HTTP-Referer": self.openrouter_site_url or "http://localhost", | |
| "X-Title": self.openrouter_site_title or "LocalApp", | |
| } | |
| # Candidate list prioritizing common free models | |
| candidates = [] | |
| if self.openrouter_model: | |
| candidates = [self.openrouter_model] | |
| else: | |
| candidates = [ | |
| "meta-llama/llama-3.3-70b-instruct:free", | |
| "meta-llama/llama-3.1-8b-instruct:free", | |
| "google/gemma-7b-it:free", | |
| "qwen/qwen-2.5-7b-instruct:free", | |
| ] | |
| last_err = None | |
| for model in candidates: | |
| body = { | |
| "model": model, | |
| "messages": [ | |
| {"role": "system", "content": "You are a helpful assistant."}, | |
| {"role": "user", "content": prompt}, | |
| ], | |
| } | |
| try: | |
| resp = requests.post(url, headers=headers, json=body, timeout=45) | |
| if not resp.ok: | |
| try: | |
| err = resp.json() | |
| except Exception: | |
| err = {"error": resp.text} | |
| last_err = f"OpenRouter error {resp.status_code} for {model}: {err}" | |
| continue | |
| data = resp.json() | |
| choices = data.get("choices") or [] | |
| if not choices: | |
| last_err = f"OpenRouter returned no choices for {model}." | |
| continue | |
| content = choices[0].get("message", {}).get("content") | |
| if not content: | |
| last_err = f"OpenRouter returned empty content for {model}." | |
| continue | |
| return content, None | |
| except Exception: | |
| last_err = f"OpenRouter request failed for {model}: {traceback.format_exc()}" | |
| continue | |
| return None, last_err or "OpenRouter request failed." | |
| except Exception: | |
| return None, f"OpenRouter wrapper failed: {traceback.format_exc()}" | |
| def translate_ui_elements(self, ui_dict: Dict[str, str], target_language: str = 'ar') -> Dict[str, str]: | |
| """ | |
| Translate UI elements dictionary | |
| Args: | |
| ui_dict: Dictionary of UI elements {key: english_text} | |
| target_language: Target language code | |
| Returns: | |
| Dictionary with translated values | |
| """ | |
| translated_dict = {} | |
| for key, english_text in ui_dict.items(): | |
| translated_text, error = self.translate_text(english_text, target_language) | |
| if translated_text: | |
| translated_dict[key] = translated_text | |
| else: | |
| # Fallback to original text if translation fails | |
| translated_dict[key] = english_text | |
| print(f"Translation failed for '{key}': {error}") | |
| return translated_dict | |
| def batch_translate(self, texts: List[str], target_language: str = 'ar') -> List[Dict[str, str]]: | |
| """ | |
| Translate multiple texts in batch | |
| Args: | |
| texts: List of texts to translate | |
| target_language: Target language code | |
| Returns: | |
| List of dictionaries with original and translated text | |
| """ | |
| results = [] | |
| for i, text in enumerate(texts): | |
| translated_text, error = self.translate_text(text, target_language) | |
| result = { | |
| 'index': i, | |
| 'original': text, | |
| 'translated': translated_text if translated_text else text, | |
| 'success': translated_text is not None, | |
| 'error': error | |
| } | |
| results.append(result) | |
| return results | |
| def get_supported_languages(self) -> Dict[str, str]: | |
| """Get list of supported languages""" | |
| return self.supported_languages.copy() | |
| # UI Translations Dictionary for Common Elements | |
| UI_TRANSLATIONS = { | |
| 'en': { | |
| 'start_recording': 'Start Recording', | |
| 'stop_recording': 'Stop Recording', | |
| 'pause_recording': 'Pause Recording', | |
| 'resume_recording': 'Resume Recording', | |
| 'mark_important': 'Mark Important', | |
| 'extract_text': 'Extract Text', | |
| 'rerecord': 'Re-record', | |
| 'processing': 'Processing...', | |
| 'ready_to_record': 'Ready to Record', | |
| 'recording': 'Recording...', | |
| 'paused': 'Paused', | |
| 'review_recording': 'Review your recording', | |
| 'processing_complete': 'Processing Complete!', | |
| 'upload_file': 'Upload a File', | |
| 'record_audio': 'Record Audio', | |
| 'choose_audio_file': 'Choose an audio file', | |
| 'supported_formats': 'Supported formats: MP3, WAV, M4A', | |
| 'microphone_permission': 'Microphone permission denied.', | |
| 'browser_not_supported': 'Your browser does not support audio recording.', | |
| 'quality': 'Quality', | |
| 'language': 'Language', | |
| 'settings': 'Settings', | |
| 'help': 'Help', | |
| 'about': 'About', | |
| 'simple_mode': 'Simple Mode', | |
| 'advanced_mode': 'Advanced Mode', | |
| 'lecture_mode': 'Lecture Mode', | |
| 'transcription': 'Transcription', | |
| 'translation': 'Translation', | |
| 'markers': 'Important Markers', | |
| 'duration': 'Duration', | |
| 'file_size': 'File Size', | |
| 'audio_level': 'Audio Level', | |
| 'error_occurred': 'An error occurred', | |
| 'try_again': 'Try Again', | |
| 'success': 'Success', | |
| 'failed': 'Failed', | |
| 'loading': 'Loading...', | |
| 'save': 'Save', | |
| 'cancel': 'Cancel', | |
| 'close': 'Close', | |
| 'download': 'Download', | |
| 'share': 'Share', | |
| 'copy': 'Copy', | |
| 'paste': 'Paste', | |
| 'clear': 'Clear', | |
| 'reset': 'Reset' | |
| }, | |
| 'ar': { | |
| 'start_recording': 'بدء التسجيل', | |
| 'stop_recording': 'إيقاف التسجيل', | |
| 'pause_recording': 'إيقاف مؤقت', | |
| 'resume_recording': 'استئناف التسجيل', | |
| 'mark_important': 'تعليم مهم', | |
| 'extract_text': 'استخراج النص', | |
| 'rerecord': 'إعادة تسجيل', | |
| 'processing': 'جاري المعالجة...', | |
| 'ready_to_record': 'جاهز للتسجيل', | |
| 'recording': 'جاري التسجيل...', | |
| 'paused': 'متوقف مؤقتاً', | |
| 'review_recording': 'مراجعة التسجيل', | |
| 'processing_complete': 'اكتملت المعالجة!', | |
| 'upload_file': 'رفع ملف', | |
| 'record_audio': 'تسجيل صوتي', | |
| 'choose_audio_file': 'اختر ملف صوتي', | |
| 'supported_formats': 'التنسيقات المدعومة: MP3, WAV, M4A', | |
| 'microphone_permission': 'تم رفض إذن الميكروفون.', | |
| 'browser_not_supported': 'متصفحك لا يدعم التسجيل الصوتي.', | |
| 'quality': 'الجودة', | |
| 'language': 'اللغة', | |
| 'settings': 'الإعدادات', | |
| 'help': 'المساعدة', | |
| 'about': 'حول', | |
| 'simple_mode': 'الوضع البسيط', | |
| 'advanced_mode': 'الوضع المتقدم', | |
| 'lecture_mode': 'وضع المحاضرة', | |
| 'transcription': 'النسخ النصي', | |
| 'translation': 'الترجمة', | |
| 'markers': 'العلامات المهمة', | |
| 'duration': 'المدة', | |
| 'file_size': 'حجم الملف', | |
| 'audio_level': 'مستوى الصوت', | |
| 'error_occurred': 'حدث خطأ', | |
| 'try_again': 'حاول مرة أخرى', | |
| 'success': 'نجح', | |
| 'failed': 'فشل', | |
| 'loading': 'جاري التحميل...', | |
| 'save': 'حفظ', | |
| 'cancel': 'إلغاء', | |
| 'close': 'إغلاق', | |
| 'download': 'تحميل', | |
| 'share': 'مشاركة', | |
| 'copy': 'نسخ', | |
| 'paste': 'لصق', | |
| 'clear': 'مسح', | |
| 'reset': 'إعادة تعيين' | |
| } | |
| } | |
| # Helper function to get translations | |
| def get_translation(key: str, language: str = 'en') -> str: | |
| """Get translation for a specific key and language""" | |
| return UI_TRANSLATIONS.get(language, {}).get(key, UI_TRANSLATIONS['en'].get(key, key)) | |
| def get_translator(): | |
| """ | |
| Get a singleton translator instance using Streamlit's resource caching. | |
| This ensures the model is initialized only once per session. | |
| """ | |
| return AITranslator() | |