translator

small translator

translator

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+import os
+import gradio as gr
+from google import genai
+
+# Initialize Gemini client (reads GEMINI_API_KEY from environment)
+API_KEY = os.getenv("GEMINI_API_KEY")
+if not API_KEY:
+    raise RuntimeError("Please set the GEMINI_API_KEY environment variable.")
+
+client = genai.Client(api_key=API_KEY)
+
+# List of common languages for dropdown
+LANGUAGES = [
+    "Auto-detect",
+    "Arabic", "Bengali", "Chinese (Simplified)", "Chinese (Traditional)",
+    "Dutch", "English", "French", "German", "Hindi", "Indonesian",
+    "Italian", "Japanese", "Korean", "Malay", "Portuguese",
+    "Punjabi", "Russian", "Spanish", "Swahili", "Turkish", "Urdu", "Vietnamese"
+]
+
+def build_prompt(text: str, src_lang: str, tgt_lang: str, tone: str, preserve_entities: bool):
+    """
+    Build translation prompt for Gemini.
+    """
+    preserve_text = (
+        "Preserve named entities (names, places, numbers, dates) exactly where possible."
+        if preserve_entities else ""
+    )
+    if src_lang == "Auto-detect":
+        src_instruction = "Auto-detect the source language."
+    else:
+        src_instruction = f"The source language is {src_lang}."
+    prompt = f"""
+You are a professional translator assistant.
+{src_instruction}
+Translate the following text into {tgt_lang}. Maintain the original meaning and {tone} tone. {preserve_text}
+If the text contains formatting (bullets, lists, newlines), keep the structure in the translation.
+Respond ONLY with the translated text (no extra commentary).
+-----
+Text to translate:
+\"\"\"{text}\"\"\"
+"""
+    return prompt.strip()
+
+def translate_text(text: str, src_lang: str, tgt_lang: str, tone: str, preserve_entities: bool):
+    if not text or not text.strip():
+        return "⚠️ Please enter text to translate."
+    if src_lang == tgt_lang:
+        return "⚠️ Source and target languages are the same — choose a different target language."
+
+    prompt = build_prompt(text, src_lang, tgt_lang, tone, preserve_entities)
+
+    try:
+        response = client.models.generate_content(
+            model="gemini-2.5-flash",
+            contents=prompt,
+        )
+        translated = response.text.strip()
+
+        detected_note = ""
+        if src_lang == "Auto-detect":
+            detect_prompt = f"Detect the language of the following text and reply with a single word (language name):\n\n\"\"\"{text}\"\"\""
+            try:
+                detect_resp = client.models.generate_content(
+                    model="gemini-2.5-flash",
+                    contents=detect_prompt,
+                )
+                detected_lang = detect_resp.text.strip().splitlines()[0]
+                detected_note = f"\n\nDetected source language: {detected_lang}"
+            except Exception:
+                detected_note = ""
+        return translated + detected_note
+    except Exception as e:
+        return f"❌ Error calling Gemini API: {str(e)}"
+
+# ---------- Gradio UI ----------
+with gr.Blocks(theme=gr.themes.Default()) as demo:
+    gr.Markdown("## 🌍 Simple Translator App\nTranslate text between multiple languages with tone control and entity preservation using Google Gemini.")
+    with gr.Row():
+        with gr.Column(scale=3):
+            txt = gr.Textbox(lines=6, placeholder="Enter text here...", label="Input text")
+            preserve = gr.Checkbox(label="Preserve names, places, and numbers", value=True)
+        with gr.Column(scale=1):
+            src = gr.Dropdown(choices=LANGUAGES, value="Auto-detect", label="Source language")
+            tgt = gr.Dropdown(choices=[l for l in LANGUAGES if l != "Auto-detect"], value="English", label="Target language")
+            tone = gr.Radio(choices=["neutral", "formal", "informal", "friendly", "professional"], value="neutral", label="Tone")
+            translate_btn = gr.Button("Translate")
+    output = gr.Textbox(lines=8, label="Translated text")
+
+    examples = [
+        ["Hello, how are you?", "Auto-detect", "Urdu", "friendly", True],
+        ["Explain gravity in one sentence.", "English", "Spanish", "neutral", False],
+        ["مرحبا كيف حالك", "Auto-detect", "English", "friendly", True]
+    ]
+    gr.Examples(examples=examples, inputs=[txt, src, tgt, tone, preserve])
+
+    def run_translate(text, src_lang, tgt_lang, tone, preserve_entities):
+        return translate_text(text, src_lang, tgt_lang, tone, preserve_entities)
+
+    translate_btn.click(fn=run_translate, inputs=[txt, src, tgt, tone, preserve], outputs=output)
+
+    gr.Markdown("**Note:** This app uses the `GEMINI_API_KEY` from environment variables. Add it in *Settings → Secrets* when deploying on Hugging Face Spaces.")
+
+if __name__ == "__main__":
+    demo.launch()