Create app.py

app.py

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+import gradio as gr
+import os
+from groq import Groq
+
+# Load Groq API key securely
+GROQ_API_KEY = os.getenv("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")
+
+if not GROQ_API_KEY:
+    raise ValueError("❌ Please set your GROQ_API_KEY in environment variables.")
+
+client = Groq(api_key=GROQ_API_KEY)
+
+def translate_english_to_urdu(text):
+    if not text.strip():
+        return "⚠️ Please enter English text to translate."
+
+    try:
+        completion = client.chat.completions.create(
+            model="llama3-70b-8192",
+            messages=[
+                {"role": "system", "content": "You are a professional translator. Translate English into pure, natural, and grammatically correct Urdu."},
+                {"role": "user", "content": text}
+            ],
+            temperature=0.2,
+            max_tokens=1024
+        )
+
+        return completion.choices[0].message.content.strip()
+
+    except Exception as e:
+        return f"❌ Error: {str(e)}"
+
+
+with gr.Blocks(title="🌍 English to Urdu Translator (Powered by Groq)") as demo:
+    gr.Markdown("""
+    # 🌍 English → Urdu Translator  
+    **Powered by Groq AI • Deployed on Hugging Face**  
+    Translate English text into accurate, natural, and fluent Urdu instantly.
+    """)
+
+    with gr.Row():
+        english_input = gr.Textbox(label="✍️ Enter English Text", placeholder="Type your English text here...", lines=6)
+        urdu_output = gr.Textbox(label="📜 Urdu Translation", lines=6)
+
+    translate_btn = gr.Button("🔄 Translate")
+
+    translate_btn.click(fn=translate_english_to_urdu, inputs=english_input, outputs=urdu_output)
+
+    gr.Markdown("""
+    ---
+    ### ✨ Features
+    ✔️ High-accuracy translation  
+    ✔️ Fast responses using Groq  
+    ✔️ Clean & modern UI  
+    ✔️ Ready for Hugging Face deployment  
+    ✔️ Production-grade code  
+
+    👨‍💻 Built with ❤️ by Muhammad Raza
+    """)
+
+if __name__ == "__main__":
+    demo.launch()