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# Ploomber Resources | ||
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Below we list **awesome chat apps by [Ploomber](https://ploomber.io/)**. | ||
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Ploomber describes them selves as *the fastest way to deploy AI applications*. | ||
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![Ploomberg Logo](assets/images/ploomber_logo.png) | ||
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## Book Recommender | ||
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App: | Author: [Neelasha Sen](https://github.com/neelasha23) | Code: [Github](https://github.com/ploomber/doc/tree/main/examples/panel/book-recommender) | ||
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A chat assistant for recommending books to the user based on inputs. | ||
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<video controls poster="assets/thumbnails/ploomber_book_recommender.png" > | ||
<source src="assets/videos/ploomber_book_recommender.mp4" type="video/mp4" | ||
style="max-height: 400px; max-width: 600px;"> | ||
Your browser does not support the video tag. | ||
</video> | ||
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## Chat with Github | ||
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App: | Author: [Neelasha Sen](https://github.com/neelasha23) | Code: [Github](https://github.com/ploomber/doc/tree/main/examples/panel/chat-with-github) | ||
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A Panel app that enables users to chat with their GitHub repositories using the Llama Index GithubRepositoryReader. | ||
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<video controls poster="assets/thumbnails/ploomber_chat_with_github.png" > | ||
<source src="assets/videos/ploomber_chat_with_github.mp4" type="video/mp4" | ||
style="max-height: 400px; max-width: 600px;"> | ||
Your browser does not support the video tag. | ||
</video> | ||
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## Chat with Llama Cpp | ||
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App: [Ploomber](https://curly-shadow-6798.ploomberapp.io/app) | Author: [Eduardo Blancas](https://github.com/edublancas) | Code: [Github](https://github.com/ploomber/doc/tree/main/examples/panel/chat-simple) | [Llama Server](https://github.com/ploomber/doc/tree/main/examples/docker/llama-cpp-server) | ||
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A Panel chat app powered by a Llama Cpp server. Both deployed to Ploomber. | ||
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<video controls poster="assets/thumbnails/ploomber_chat_with_llama_cpp.png" > | ||
<source src="assets/videos/ploomber_chat_with_llama_cpp.mp4" type="video/mp4" | ||
style="max-height: 400px; max-width: 600px;"> | ||
Your browser does not support the video tag. | ||
</video> | ||
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## Chat with PDF | ||
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Author: [Eduardo Blancas](https://github.com/edublancas) | Code: [Github](https://github.com/ploomber/doc/tree/main/examples/panel/chat-with-pdf) | ||
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A Panel app that allows users to chat with a PDF document. | ||
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![Chat with PDF](https://github.com/ploomber/doc/raw/main/examples/panel/chat-with-pdf/screenshot.webp) | ||
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## News summarizer | ||
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Author: [Eduardo Blancas](https://github.com/edublancas) | Code: [Github](https://github.com/ploomber/doc/tree/main/examples/panel/chat-with-pdf) | ||
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A RAG application for summarizing the latest news. | ||
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![News Summarizer](https://github.com/ploomber/doc/raw/main/examples/panel/rag-news/screenshot.webp) | ||
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## Simple Chat App | ||
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Author: [Eduardo Blancas](https://github.com/edublancas) | Code: [Github](https://github.com/ploomber/doc/tree/main/examples/panel/chat-simple) | ||
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A simple chat app made with Panel. | ||
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## Stock Market ChatBot | ||
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App: [Ploomber](https://white-mountain-0152.ploomberapp.io/app) Author: [Eduardo Blancas](https://github.com/edublancas) | Code: [Github](https://github.com/ploomber/doc/tree/main/examples/panel/stock-market-chatbot) | ||
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LLM-powered Stock Market app with Panel | ||
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<video controls poster="assets/thumbnails/ploomber_stock_market.png" > | ||
<source src="assets/videos/ploomber_stock_market.mp4" type="video/mp4" | ||
style="max-height: 400px; max-width: 600px;"> | ||
Your browser does not support the video tag. | ||
</video> | ||
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## Weights and Biases LLM | ||
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Author: [Laura Gutierrez Funderburk](https://github.com/lfunderburk) | Code: [Github](https://github.com/ploomber/doc/tree/main/examples/panel/weights-and-biases-llm) | ||
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This example demonstrates how to connect your Panel app to Weights and Biases. We will use the Weights and Biases API to track several metrics when making prompts against a GPT model from OpenAI. The final application enables you to monitor token usage, prompt length, and the number of tokens generated during a user session of the application running while it is deployed. | ||
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![Weights and Biases](https://github.com/ploomber/doc/raw/main/examples/panel/weights-and-biases-llm/screenshot.webp) |