Create app.py

app.py

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+import gradio as gr
+import os
+from groq import Groq
+
+# Initialize Groq client
+def initialize_groq_client():
+    api_key = os.getenv("GROQ_API_KEY")
+    if not api_key:
+        raise ValueError("GROQ_API_KEY environment variable not set")
+    return Groq(api_key=api_key)
+
+def translate_to_swahili(text, temperature=0.3):
+    """
+    Translate English text to Swahili using Groq's Llama 4
+    """
+    if not text.strip():
+        return "Please enter some text to translate."
+    
+    try:
+        client = initialize_groq_client()
+        
+        # Construct the prompt for translation
+        prompt = f"""You are a professional translator. Translate the following English text to Swahili. 
+Provide only the Swahili translation, nothing else.
+
+English text: {text}
+
+Swahili translation:"""
+
+        completion = client.chat.completions.create(
+            model="meta-llama/llama-4-scout-17b-16e-instruct",
+            messages=[
+                {
+                    "role": "user",
+                    "content": prompt
+                }
+            ],
+            temperature=temperature,
+            max_completion_tokens=1024,
+            top_p=1,
+            stream=False,
+            stop=None,
+        )
+        
+        return completion.choices[0].message.content.strip()
+        
+    except Exception as e:
+        return f"Error during translation: {str(e)}"
+
+def translate_with_streaming(text, temperature=0.3):
+    """
+    Translate with streaming response for better UX
+    """
+    if not text.strip():
+        yield "Please enter some text to translate."
+        return
+    
+    try:
+        client = initialize_groq_client()
+        
+        prompt = f"""You are a professional translator. Translate the following English text to Swahili. 
+Provide only the Swahili translation, nothing else.
+
+English text: {text}
+
+Swahili translation:"""
+
+        completion = client.chat.completions.create(
+            model="meta-llama/llama-4-scout-17b-16e-instruct",
+            messages=[
+                {
+                    "role": "user",
+                    "content": prompt
+                }
+            ],
+            temperature=temperature,
+            max_completion_tokens=1024,
+            top_p=1,
+            stream=True,
+            stop=None,
+        )
+        
+        full_response = ""
+        for chunk in completion:
+            if chunk.choices[0].delta.content:
+                full_response += chunk.choices[0].delta.content
+                yield full_response
+                
+    except Exception as e:
+        yield f"Error during translation: {str(e)}"
+
+# Create Gradio interface
+def create_interface():
+    with gr.Blocks(title="English to Swahili Translator", theme=gr.themes.Soft()) as iface:
+        gr.Markdown("# 🌍 English to Swahili Translator")
+        gr.Markdown("Powered by Groq's Llama 4 - Translate English text to Swahili")
+        
+        with gr.Row():
+            with gr.Column(scale=1):
+                input_text = gr.Textbox(
+                    label="English Text",
+                    placeholder="Enter English text to translate...",
+                    lines=5,
+                    max_lines=10
+                )
+                
+                temperature = gr.Slider(
+                    minimum=0.1,
+                    maximum=1.0,
+                    value=0.3,
+                    step=0.1,
+                    label="Temperature (creativity level)",
+                    info="Lower values = more consistent, Higher values = more creative"
+                )
+                
+                with gr.Row():
+                    translate_btn = gr.Button("🔄 Translate", variant="primary")
+                    clear_btn = gr.Button("🗑️ Clear")
+            
+            with gr.Column(scale=1):
+                output_text = gr.Textbox(
+                    label="Swahili Translation",
+                    lines=5,
+                    max_lines=10,
+                    interactive=False
+                )
+        
+        # Examples
+        gr.Examples(
+            examples=[
+                ["Hello, how are you?"],
+                ["I love learning new languages."],
+                ["The weather is beautiful today."],
+                ["Thank you for your help."],
+                ["What time is it?"]
+            ],
+            inputs=[input_text],
+            label="Try these examples:"
+        )
+        
+        # Event handlers
+        translate_btn.click(
+            fn=translate_with_streaming,
+            inputs=[input_text, temperature],
+            outputs=[output_text],
+            show_progress=True
+        )
+        
+        clear_btn.click(
+            fn=lambda: ("", ""),
+            outputs=[input_text, output_text]
+        )
+        
+        # Allow Enter key to trigger translation
+        input_text.submit(
+            fn=translate_with_streaming,
+            inputs=[input_text, temperature],
+            outputs=[output_text],
+            show_progress=True
+        )
+    
+    return iface
+
+# For local testing
+if __name__ == "__main__":
+    # For local development, you can set the API key here (NOT recommended for production)
+    # os.environ["GROQ_API_KEY"] = "your_api_key_here"
+    
+    iface = create_interface()
+    iface.launch(
+        debug=True,
+        share=False,  # Set to True if you want a public link
+        server_name="0.0.0.0",
+        server_port=7860
+    )
+
+# For Hugging Face Spaces deployment
+def launch_hf_space():
+    iface = create_interface()
+    iface.launch()
+
+# Uncomment the line below for Hugging Face deployment
+# launch_hf_space()