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| """ | |
| CodeAlpha Internship - Task 1: Language Translation Tool | |
| Uses: Groq API (LLM inference) + langdetect + Gradio (UI) | |
| """ | |
| import gradio as gr | |
| from groq import Groq | |
| from langdetect import detect, DetectorFactory | |
| import os | |
| from dotenv import load_dotenv | |
| load_dotenv() # Load .env file locally | |
| DetectorFactory.seed = 0 | |
| # ─── CONFIGURATION ──────────────────────────────────────────────────────────── | |
| GROQ_API_KEY = os.environ.get("GROQ_API_KEY", "") | |
| MODEL = "llama-3.3-70b-versatile" | |
| LANGUAGES = [ | |
| "Auto-Detect", | |
| "English", "Urdu", "Arabic", "French", "Spanish", "German", | |
| "Chinese (Simplified)", "Japanese", "Korean", "Hindi", "Portuguese", | |
| "Italian", "Russian", "Turkish", "Dutch", "Polish", "Bengali", | |
| "Vietnamese", "Thai", "Persian (Farsi)" | |
| ] | |
| LANG_CODE_MAP = { | |
| "en": "English", "ur": "Urdu", "ar": "Arabic", "fr": "French", | |
| "es": "Spanish", "de": "German", "zh-cn": "Chinese (Simplified)", | |
| "ja": "Japanese", "ko": "Korean", "hi": "Hindi", "pt": "Portuguese", | |
| "it": "Italian", "ru": "Russian", "tr": "Turkish", "nl": "Dutch", | |
| "pl": "Polish", "bn": "Bengali", "vi": "Vietnamese", "th": "Thai", | |
| "fa": "Persian (Farsi)" | |
| } | |
| # ─── CORE TRANSLATION FUNCTION ──────────────────────────────────────────────── | |
| def translate_text(input_text, source_lang, target_lang): | |
| if not input_text.strip(): | |
| return "⚠️ Please enter some text to translate.", "" | |
| if target_lang == "Auto-Detect": | |
| return "⚠️ Please select a target language.", "" | |
| if not GROQ_API_KEY: | |
| return "⚠️ GROQ_API_KEY is not set. Add it in .env file or HF Space Secrets.", "" | |
| detected_info = "" | |
| if source_lang == "Auto-Detect": | |
| try: | |
| detected_code = detect(input_text) | |
| detected_name = LANG_CODE_MAP.get(detected_code, detected_code.upper()) | |
| detected_info = f"🔍 Detected language: **{detected_name}**" | |
| source_lang = detected_name | |
| except Exception: | |
| source_lang = "the source language" | |
| detected_info = "🔍 Could not detect language, letting AI handle it." | |
| prompt = ( | |
| f"You are a professional translator. Translate the following text from {source_lang} " | |
| f"to {target_lang}. Return ONLY the translated text — no explanations, no labels, " | |
| f"no quotation marks, just the clean translation.\n\nText to translate:\n{input_text}" | |
| ) | |
| try: | |
| client = Groq(api_key=GROQ_API_KEY) | |
| response = client.chat.completions.create( | |
| model=MODEL, | |
| messages=[{"role": "user", "content": prompt}], | |
| temperature=0.3, | |
| max_tokens=1024 | |
| ) | |
| translated = response.choices[0].message.content.strip() | |
| return translated, detected_info | |
| except Exception as e: | |
| return f"❌ Translation error: {str(e)}", "" | |
| # ─── JS FUNCTIONS ────────────────────────────────────────────────────────────── | |
| TTS_JS = """ | |
| function speakText() { | |
| const outputBox = document.querySelector('#translated-output textarea'); | |
| if (!outputBox || !outputBox.value.trim()) { | |
| alert("Nothing to speak yet!"); | |
| return; | |
| } | |
| const utterance = new SpeechSynthesisUtterance(outputBox.value); | |
| window.speechSynthesis.speak(utterance); | |
| } | |
| """ | |
| COPY_JS = """ | |
| function copyText() { | |
| const outputBox = document.querySelector('#translated-output textarea'); | |
| if (!outputBox || !outputBox.value.trim()) { | |
| alert("Nothing to copy yet!"); | |
| return; | |
| } | |
| navigator.clipboard.writeText(outputBox.value).then(() => { | |
| alert("Copied to clipboard!"); | |
| }); | |
| } | |
| """ | |
| # ─── GRADIO UI ───────────────────────────────────────────────────────────────── | |
| with gr.Blocks( | |
| title="Language Translator — CodeAlpha", | |
| theme=gr.themes.Soft(primary_hue="blue"), | |
| css=""" | |
| .title-block { text-align: center; padding: 10px 0 20px; } | |
| #translated-output textarea { font-size: 16px; } | |
| .footer { text-align: center; font-size: 12px; color: #888; margin-top: 20px; } | |
| """ | |
| ) as demo: | |
| gr.HTML(""" | |
| <div class="title-block"> | |
| <h1>🌐 Language Translation Tool</h1> | |
| <p style="color:#555;">Powered by Groq LLaMA3 + LangDetect | CodeAlpha Internship Task 1</p> | |
| </div> | |
| """) | |
| with gr.Row(): | |
| source_lang = gr.Dropdown( | |
| choices=LANGUAGES, value="Auto-Detect", label="Source Language", scale=1 | |
| ) | |
| target_lang = gr.Dropdown( | |
| choices=[l for l in LANGUAGES if l != "Auto-Detect"], | |
| value="Urdu", label="Target Language", scale=1 | |
| ) | |
| with gr.Row(): | |
| with gr.Column(): | |
| input_text = gr.Textbox( | |
| label="Input Text", | |
| placeholder="Enter text here to translate...", | |
| lines=8, max_lines=15 | |
| ) | |
| with gr.Row(): | |
| translate_btn = gr.Button("🔁 Translate", variant="primary", scale=3) | |
| clear_btn = gr.Button("🗑️ Clear", scale=1) | |
| with gr.Column(): | |
| output_text = gr.Textbox( | |
| label="Translated Text", | |
| lines=8, max_lines=15, | |
| interactive=False, | |
| elem_id="translated-output" | |
| ) | |
| detection_info = gr.Markdown("") | |
| with gr.Row(): | |
| copy_btn = gr.Button("📋 Copy to Clipboard", scale=2) | |
| speak_btn = gr.Button("🔊 Speak Translation", scale=2) | |
| def do_translate(text, src, tgt): | |
| result, info = translate_text(text, src, tgt) | |
| return result, info | |
| def clear_all(): | |
| return "", "", "" | |
| translate_btn.click( | |
| fn=do_translate, | |
| inputs=[input_text, source_lang, target_lang], | |
| outputs=[output_text, detection_info] | |
| ) | |
| input_text.submit( | |
| fn=do_translate, | |
| inputs=[input_text, source_lang, target_lang], | |
| outputs=[output_text, detection_info] | |
| ) | |
| clear_btn.click(fn=clear_all, outputs=[input_text, output_text, detection_info]) | |
| copy_btn.click(fn=None, js=COPY_JS) | |
| speak_btn.click(fn=None, js=TTS_JS) | |
| gr.HTML(""" | |
| <div class="footer"> | |
| Built with ❤️ for CodeAlpha AI Internship · Groq LLaMA3-8B · Gradio UI | |
| </div> | |
| """) | |
| if __name__ == "__main__": | |
| demo.launch() | |