Create app.py

app.py

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+import os
+import gradio as gr
+from groq import Groq
+
+# Get API key from environment (will be set in Hugging Face Space secrets)
+api_key = os.environ.get("GROQ_API_KEY")
+if not api_key:
+    raise ValueError("GROQ_API environment variable not set. Please add it to Space Secrets.")
+
+client = Groq(api_key=api_key)
+
+def translate_english_to_nepali(text):
+    if not text or not text.strip():
+        return "Please enter some English text to translate."
+    
+    try:
+        response = client.chat.completions.create(
+            model="llama-3.3-70b-versatile",
+            messages=[
+                {
+                    "role": "system", 
+                    "content": "You are a professional translator. Translate the given English text to Nepali (नेपाली) accurately. Provide only the translation without explanations, transliterations, or additional text."
+                },
+                {
+                    "role": "user", 
+                    "content": text
+                }
+            ],
+            temperature=0.1,  # Lower temperature for more consistent translations
+            max_tokens=1024
+        )
+        
+        translation = response.choices[0].message.content.strip()
+        return translation
+        
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Custom CSS for better appearance
+css = """
+.container {max-width: 800px; margin: 0 auto;}
+.input-text {font-size: 16px;}
+.output-text {font-size: 18px; font-weight: 500;}
+"""
+
+with gr.Blocks(css=css, title="English to Nepali Translator") as demo:
+    gr.Markdown(
+        """
+        # 🇬🇧 ➡️ 🇳🇵 English to Nepali Translator
+        Powered by Groq (Llama 3.1) | High-speed AI Translation
+        """
+    )
+    
+    with gr.Row():
+        with gr.Column():
+            input_text = gr.Textbox(
+                label="English Text",
+                placeholder="Enter English text here...",
+                lines=6,
+                elem_classes="input-text"
+            )
+            translate_btn = gr.Button("🔄 Translate", variant="primary", size="lg")
+            clear_btn = gr.Button("Clear", size="sm")
+        
+        with gr.Column():
+            output_text = gr.Textbox(
+                label="Nepali Translation (नेपाली अनुवाद)",
+                lines=6,
+                elem_classes="output-text",
+                interactive=False
+            )
+    
+    gr.Markdown(
+        """
+        ### Tips:
+        - Enter natural English sentences for best results
+        - The model handles formal and informal Nepali contexts
+        - Supports long paragraphs (up to 1024 tokens)
+        """
+    )
+    
+    # Event handlers
+    translate_btn.click(
+        fn=translate_english_to_nepali,
+        inputs=input_text,
+        outputs=output_text
+    )
+    
+    clear_btn.click(
+        fn=lambda: ("", ""),
+        inputs=None,
+        outputs=[input_text, output_text]
+    )
+    
+    # Allow Enter key to submit
+    input_text.submit(
+        fn=translate_english_to_nepali,
+        inputs=input_text,
+        outputs=output_text
+    )
+
+# Launch configuration
+if __name__ == "__main__":
+    demo.launch()