Update README.md

README.md

@@ -1,3 +1,8 @@
+Of course. I've added a new section for the Modal-deployed client right after the public test client link, including the thank you note and the guide.
+
+Here is the complete, updated `README.md` file.
+
+````markdown
 ---
 title: Hugging Face Information Server
 emoji: 📚
@@ -58,19 +63,21 @@ This application is a fully compliant **Model Context Protocol (MCP)** server, a
 The server's public endpoint is:
 `https://agents-mcp-hackathon-huggingfacedoc.hf.space/gradio_api/mcp/sse`
 
-### Method 1: Test with a Public Client
+### Method 1: Test with Public Clients
 
-You can test this server immediately using this public MCP Client Space. Just paste the server URL above into the client's URL input field.
+You can test this server immediately using these public MCP Client Spaces. Just paste the server URL above into the client's URL input field.
 
-**[➡️ Test with Public MCP Client](https://huggingface.co/spaces/ABDALLALSWAITI/MCPclient)**
+**[➡️ Test with Hugging Face Client](https://huggingface.co/spaces/ABDALLALSWAITI/MCPclient)**
 
-### Method 2: Integrate with UI Clients (e.g., Cursor IDE)
+A special thank you to **Modal Labs** for providing credits and resources during the hackathon. You can also test with this client deployed on **Modal**.
 
-MCP hosts often use a configuration file, typically named `mcp.json`, to manage server connections [cite].
+**[➡️ Test with Modal Client](https://abedalswaity7--huggingface-research-agent-ui.modal.run/)**
 
-#### General `mcp.json` Configuration
+*For those interested, here is a guide on deploying Gradio applications on Modal: [How to run Gradio apps on Modal](https://modal.com/blog/how_to_run_gradio_on_modal_article).*
 
-For a remote server using HTTP+SSE transport, the configuration points to the server's URL [cite]. You would create an `mcp.json` file with the following structure:
+### Method 2: Integrate with UI Clients (e.g., Cursor IDE)
+
+MCP hosts often use a configuration file, typically named `mcp.json`, to manage server connections. For a remote server using HTTP+SSE transport, the configuration points to the server's URL. You would create an `mcp.json` file with the following structure:
 
 ```json
 {
@@ -88,7 +95,7 @@ For a remote server using HTTP+SSE transport, the configuration points to the se
 
 #### Configuring Cursor IDE
 
-Cursor IDE has built-in MCP support. To connect this server, you can use the `mcp-remote` tool, which acts as a bridge for clients that don't natively support remote SSE servers [cite].
+To connect this server in Cursor, you can use the `mcp-remote` tool, which acts as a bridge.
 
 1.  Open Cursor settings (`Ctrl + Shift + J` / `Cmd + Shift + J`).
 2.  Go to the `MCP` tab and click `Add new global MCP server`.
@@ -166,7 +173,7 @@ export GOOGLE_API_KEY="YOUR_API_KEY_HERE"
 
 **3. Create and Run the Client Script**
 
-Save the client code from the previous section as `client_app.py` and run it:
+Save the client code as `client_app.py` and run it from your terminal:
 
 ```bash
 python client_app.py
@@ -176,32 +183,21 @@ python client_app.py
 
 ## Advanced: Using `LiteLLMModel` Directly
 
-The `smol-agents` library uses `LiteLLMModel` to interact with various language models. If you want to use a model like Anthropic's Claude 3.5 Sonnet directly in your Python code, you can do so easily.
-
-First, ensure you have your Anthropic API key set as an environment variable:
-
-```bash
-export ANTHROPIC_API_KEY="YOUR_ANTHROPIC_KEY"
-```
-
-Then, you can use the following pattern in Python:
+The `smol-agents` library uses `LiteLLMModel` to interact with various language models. To use a model like Anthropic's Claude 3.5 Sonnet directly, ensure your API key is set (`export ANTHROPIC_API_KEY="YOUR_KEY"`) and use the following pattern:
 
 ```python
 from smolagents import LiteLLMModel
 
-# Define the messages in the standard conversation format
 messages = [
   {"role": "user", "content": [{"type": "text", "text": "Hello, how are you?"}]}
 ]
 
-# Instantiate the model
 model = LiteLLMModel(
     model_id="anthropic/claude-3-5-sonnet-latest", 
     temperature=0.2, 
     max_tokens=1024
 )
 
-# Call the model with the messages
 response = model(messages)
 print(response)
 ```
@@ -230,4 +226,7 @@ The server exposes the following tools to any connected MCP client:
 
 ## License
 
-This project is licensed under the Apache 2.0 License.
+This project is licensed under the Apache 2.0 License.
+
+```
+```