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_posts/2024-04-25-claude-llm-symptoms.md

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@@ -127,22 +127,7 @@ To run the interactive diagnostic tool, execute the following cell, which simply
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```python
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symptom_checker_widget()
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```
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```bash
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HTML(value='<h3>Diagnostics via Claude</h3>')
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Textarea(value='', description='Symptoms', layout=Layout(height='80px', width='80%'), placeholder='Describe yo…
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Button(description='Diagnose', style=ButtonStyle())
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Output(layout=Layout(border_bottom='1px solid black', border_left='1px solid black', border_right='1px solid b…
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```
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![](https://raw.githubusercontent.com/git-steven/git-steven.github.io/master/assets/images/claude-diag-ui.png)
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## Conclusion
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In this article, we explored how to build an interactive diagnostic tool using Claude's LLM [API](https://docs.anthropic.com/claude/reference/client-sdks), the Python [Anthropic](https://pypi.org/project/anthropic/) package, and [Jupyter Widgets](https://ipywidgets.readthedocs.io/). By leveraging the power of AI and NLP, we created a simple interface that accepts symptoms and provides possible diagnoses.

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