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# Should I Follow?
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### Try it out on [🤗 Spaces](https://huggingface.co/spaces/deepset/should-i-follow)
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##### A simple app to get an overview of what the Mastodon user has been posting about and their tone
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This is a demo just for fun 🥳
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This repo contains a streamlit application that given a Mastodon username, tells you what type of things they've been posting about lately, their tone, and the languages they use. It uses the LLM by OpenAI `gpt-4`.
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It's been built with [Haystack](https://haystack.deepset.ai) using the [`OpenAIGenerator`](https://docs.haystack.deepset.ai/v2.0/docs/openaigenerator) and by creating a [`PromptBuilder`](https://docs.haystack.deepset.ai/v2.0/docs/promptbuilder)
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https://user-images.githubusercontent.com/15802862/220464834-f42c038d-54b4-4d5e-8d59-30d95143b616.mov
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### Points of improvement
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Since we're using a generative model here, we need to be a bit creative with the prompt we provide it to minimize any hallucination or similar unwanted results. For this reason, I've tried to be a bit creative with the `PromptBuilder` template and give some examples of _how_ to construct a summary. However, this still sometimes produces odd results.
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If you try to run it yourself and find ways to make this app better, please feel free to create an issue/PR 🙌
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## To learn more about the PromptBuilder
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As of Haystack 2.0-Beta onwards, you can create prompt templates with Jinja. Check out guide on creating prompts [here](https://docs.haystack.deepset.ai/v2.0/docs/promptbuilder)
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## Installation and Running
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To run the bare application which does _nothing_:
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1. Install requirements:
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`pip install -r requirements.txt`
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2. Run the streamlit app:
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`streamlit run app.py`
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This will start up the app on `localhost:8501` where you will dind a simple search bar
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#### The Haystack Community is on [Discord](https://discord.com/invite/VBpFzsgRVF)
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title: KBA AI Demo
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emoji: 🦄
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pinned: false
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