Create app.py

app.py

@@ -0,0 +1,66 @@
+import os
+import gradio as gr
+import requests
+
+# Get GROQ API key from Hugging Face secret
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+
+API_URL = "https://api.groq.com/openai/v1/chat/completions"
+
+LANGUAGES = [
+    "Urdu", "Hindi", "Arabic", "Spanish", "French", "German",
+    "Chinese", "Japanese", "Korean", "Turkish", "Italian", "Russian"
+]
+
+def translate_text(text, target_language):
+    headers = {
+        "Authorization": f"Bearer {GROQ_API_KEY}",
+        "Content-Type": "application/json"
+    }
+
+    prompt = f"""Translate the following English text into {target_language}:
+
+    English: "{text}"
+
+    {target_language}:"""
+
+    payload = {
+        "model": "llama3-70b-8192",
+        "messages": [
+            {"role": "system", "content": "You are a helpful assistant that translates English into other languages."},
+            {"role": "user", "content": prompt}
+        ],
+        "temperature": 0.3
+    }
+
+    try:
+        response = requests.post(API_URL, headers=headers, json=payload)
+
+        if response.status_code != 200:
+            return f"❌ API Error {response.status_code}: {response.text}"
+
+        result = response.json()
+
+        if "choices" in result:
+            return result["choices"][0]["message"]["content"].strip()
+        else:
+            return f"❌ Unexpected response format: {result}"
+
+    except Exception as e:
+        return f"❌ Exception occurred: {str(e)}"
+
+# Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("## 🌍 English Text Translator using GROQ API")
+    gr.Markdown("Translate English into your chosen language.")
+
+    with gr.Row():
+        input_text = gr.Textbox(label="✍️ Enter English text", lines=4, placeholder="Type something...")
+        output_text = gr.Textbox(label="🔤 Translated Text", lines=4)
+
+    language_dropdown = gr.Dropdown(choices=LANGUAGES, label="🌐 Choose Target Language")
+    translate_btn = gr.Button("🔁 Translate")
+
+    translate_btn.click(translate_text, inputs=[input_text, language_dropdown], outputs=output_text)
+
+demo.launch()