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title: Gradio Example Template
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sdk: gradio
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# Build a LLM Chat UI with 🤗 Gradio and trace it with 🪢 Langfuse
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title: Gradio Example Template
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emoji: 🚀
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sdk: gradio
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# Build a LLM Chat UI with 🤗 Gradio and trace it with 🪢 Langfuse
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This is a Gradio example template that showcases how to integrate a Gradio application with Langfuse for LLM Observability and Evaluation.
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Thank you to [@tkmamidi](https://github.com/tkmamidi) for the original implementation and contributions to this notebook.
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Have a look at [this integration page](https://langfuse.com/docs/integrations/other/gradio) for a step-by-step explanation of the code.
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## What is Langfuse?
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[Langfuse](https://langfuse.com) is an open-source LLM engineering platform that helps build reliable LLM applications via LLM Application Observability, Evaluation, Experiments, and Prompt Management. See [docs](https://langfuse.com/docs) for more details.
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## Features of this Template
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This template will show you how to
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1. Build a simple chat interface in Python and rendering it using [Gradio `Chatbot`](https://www.gradio.app/docs/gradio/chatbot)
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2. Add [Langfuse Tracing](https://langfuse.com/docs/tracing) to the chatbot
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3. Implement additional Langfuse tracing features used frequently in chat applications: [chat sessions](https://langfuse.com/docs/tracing-features/sessions), [user feedback](https://langfuse.com/docs/scores/user-feedback)
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