requirements and todo updates
Browse files- requirements.txt +3 -1
- todo.txt +1 -8
requirements.txt
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@@ -1,4 +1,6 @@
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huggingface_hub==0.25.2
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gradio[mcp]
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smolagents
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fastf1
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huggingface_hub==0.25.2
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gradio[mcp]
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smolagents
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fastf1
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matplotlib
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numpy
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todo.txt
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@@ -1,12 +1,5 @@
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More info about the Gradio agent: https://www.gradio.app/guides/agents-and-tool-usage
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- host agent using Modal labs
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- Record demonstration using Loom and add link to README
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* Demo the Gradio UI
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* Demo the MCP client using Claude Desktop
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* Demo the MCP client using mcp_client.py
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* Add the Loom video embedded in the "About" tab
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Side sponsor wins
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- Modal labs choice (host a LLM on their platform using vLLM or ollama)
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- Mistral AI choice (If using a large model, perhaps pick a Mistral one, Nebius offers a ~270B model from their API)
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- Record demonstration using Loom and add link to README
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* Demo the Gradio UI
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* Demo the MCP client using Claude Desktop
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* Demo the MCP client using mcp_client.py
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* Add the Loom video embedded in the "About" tab
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