title: Should I follow?
emoji: 🦄
colorFrom: pink
colorTo: yellow
sdk: streamlit
sdk_version: 1.21.0
app_file: app.py
pinned: false

Should I Follow?

Try it out on 🤗 Spaces

A simple app to get an overview of what the Mastodon user has been posting about and their tone

This is a demo just for fun 🥳 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.

It's been built with Haystack using the OpenAIGenerator and by creating a PromptBuilder

https://user-images.githubusercontent.com/15802862/220464834-f42c038d-54b4-4d5e-8d59-30d95143b616.mov

Points of improvement

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.

If you try to run it yourself and find ways to make this app better, please feel free to create an issue/PR 🙌

To learn more about the PromptBuilder

As of Haystack 2.0-Beta onwards, you can create prompt templates with Jinja. Check out guide on creating prompts here

Installation and Running

To run the bare application which does nothing:

1. Install requirements:
   pip install -r requirements.txt
2. Run the streamlit app:
   streamlit run app.py

This will start up the app on localhost:8501 where you will dind a simple search bar

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