Add cURL usage guide to Gradio interface

app.py

@@ -10,15 +10,42 @@ def embed(document: str):
     return model.encode(document)
 
 
-with gr.Blocks() as app:
+with gr.Blocks(title="Nomic Text Embeddings") as app:
+    gr.Markdown("# Nomic Text Embeddings v1.5")
+    gr.Markdown("Generate embeddings for your text using the nomic-embed-text-v1.5 model.")
+    
     # Create an input text box
-    text_input = gr.Textbox(label="Enter text to embed")
+    text_input = gr.Textbox(label="Enter text to embed", placeholder="Type or paste your text here...")
 
     # Create an output component to display the embedding
     output = gr.JSON(label="Text Embedding")
 
     # When the input text is submitted, call the embedding function and display the output
     text_input.submit(embed, inputs=text_input, outputs=output)
+    
+    # Add API usage guide
+    gr.Markdown("## API Usage with cURL")
+    gr.Markdown("""
+    You can use this API programmatically with cURL. Here's how:
+    
+    ```bash
+    curl -X POST https://ipepe-nomic-embeddings.hf.space/run/predict \
+      -H "Content-Type: application/json" \
+      -d '{
+        "data": ["Your text to embed goes here"]
+      }'
+    ```
+    
+    The response will be in JSON format:
+    ```json
+    {
+      "data": [[0.123, -0.456, 0.789, ...]], 
+      "duration": 0.123
+    }
+    ```
+    
+    Replace `https://ipepe-nomic-embeddings.hf.space` with your actual Space URL.
+    """)
 
 if __name__ == '__main__':
     app.queue().launch(server_name="0.0.0.0", show_error=True, server_port=7860)