Create app.py

app.py

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+import gradio as gr
+from groq import Groq
+import os
+from datetime import datetime
+
+# Load API key from environment variable (set this on Hugging Face)
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+
+client = Groq(api_key=GROQ_API_KEY)
+
+def translate_text(text, direction):
+    if not text.strip():
+        return "Please enter some text.", ""
+
+    if direction == "English → Urdu":
+        system_prompt = "You are a professional English to Urdu translator."
+        user_prompt = f"Translate this English text to Urdu:\n{text}"
+    else:
+        system_prompt = "You are a professional Urdu to English translator."
+        user_prompt = f"Translate this Urdu text to English:\n{text}"
+
+    try:
+        completion = client.chat.completions.create(
+            model="llama3-8b-8192",
+            messages=[
+                {"role": "system", "content": system_prompt},
+                {"role": "user", "content": user_prompt}
+            ],
+            temperature=0.2,
+            max_tokens=500
+        )
+        result = completion.choices[0].message.content
+
+        timestamp = datetime.now().strftime("%H:%M:%S")
+        history_entry = f"[{timestamp}] {direction}\nInput: {text}\nOutput: {result}\n"
+
+        return result, history_entry
+
+    except Exception as e:
+        return f"❌ Error: {str(e)}", ""
+
+# Gradio UI
+with gr.Blocks() as app:
+    gr.Markdown("# 🌍 English ↔ Urdu Translator")
+    gr.Markdown("Translate between English and Urdu instantly. Mobile-friendly and fast!")
+
+    with gr.Row():
+        direction = gr.Radio(
+            ["English → Urdu", "Urdu → English"],
+            value="English → Urdu",
+            label="Translation Direction"
+        )
+
+    input_text = gr.Textbox(label="Enter Text", lines=5, placeholder="Type here...")
+    output_text = gr.Textbox(label="Translated Text", lines=5)
+
+    translate_btn = gr.Button("Translate 🚀")
+
+    history = gr.Textbox(label="Translation History", lines=10)
+
+    translate_btn.click(
+        fn=translate_text,
+        inputs=[input_text, direction],
+        outputs=[output_text, history]
+    )
+
+app.launch(theme=gr.themes.Soft())