Disable queue to allow direct API calls

app.py

@@ -30,9 +30,30 @@ with gr.Blocks(title="Nomic Text Embeddings") as app:
     # Add API usage guide
     gr.Markdown("## API Usage")
     gr.Markdown("""
-    You can use this API programmatically. Hugging Face Spaces use a queue system for API calls.
+    You can use this API programmatically with direct HTTP requests (queue disabled).
     
-    ### Recommended: Python Client
+    ### Using cURL
+    ```bash
+    curl -X POST https://ipepe-nomic-embeddings.hf.space/api/predict \
+      -H "Content-Type: application/json" \
+      -d '{
+        "fn_index": 0,
+        "data": ["Your text to embed goes here"]
+      }'
+    ```
+    
+    ### Python Example (using requests)
+    ```python
+    import requests
+    
+    response = requests.post(
+        "https://ipepe-nomic-embeddings.hf.space/api/predict",
+        json={"fn_index": 0, "data": ["Your text to embed goes here"]}
+    )
+    print(response.json())  # Returns the embedding array
+    ```
+    
+    ### Python Example (using Gradio Client)
     ```python
     from gradio_client import Client
     
@@ -44,21 +65,6 @@ with gr.Blocks(title="Nomic Text Embeddings") as app:
     print(result)  # Returns the embedding array
     ```
     
-    ### Using cURL (requires session handling)
-    For direct HTTP requests, you need to:
-    1. Join the queue
-    2. Poll for results
-    
-    This is more complex with cURL. Here's a simplified example using the Gradio Python client instead:
-    
-    ```bash
-    # Install the client first
-    pip install gradio_client
-    
-    # Then use Python
-    python -c "from gradio_client import Client; client = Client('ipepe/nomic-embeddings'); print(client.predict('Your text here', api_name='/predict'))"
-    ```
-    
     ### JavaScript/Node.js Example
     ```javascript
     import { client } from "@gradio/client";
@@ -72,4 +78,4 @@ with gr.Blocks(title="Nomic Text Embeddings") as app:
     """)
 
 if __name__ == '__main__':
-    app.queue().launch(server_name="0.0.0.0", show_error=True, server_port=7860)
+    app.launch(server_name="0.0.0.0", show_error=True, server_port=7860)