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momegas commited on Apr 18, 2023

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5ccaabd

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1 Parent(s): a42ba52

🚀 Release 0.0.9

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README.md +10 -8
setup.py +1 -1

README.md CHANGED Viewed

@@ -5,21 +5,23 @@
 🤖 Megabots provides State-of-the-art, production ready LLM apps made mega-easy, so you don't have to build them from scratch 🤯 Create a bot, now 🫵
-👉 Join us on Discord: https://discord.gg/zkqDWk5S7P
-✈️ Work is managed in this project: https://github.com/users/momegas/projects/5/views/2
 The Megabots library can be used to create bots that:
-- ⌚️ are production ready bots in minutes
 - 🗂️ can answer questions over documents
-- 🧑‍⚕️ can act personal assistants and use agents and tools (Coming soon)
-- 🗣️ can accept voice (Coming soon)
-- 👍 validate and correct the outputs of large language models (Coming soon)
-- 💰 semanticly cache LLM Queries and reduce your LLM API Costs by 10x (Coming soon)
 - 🏋️ are mega-easily to train (Coming soon)
 🤖 Megabots is backed by some of the most famous tools for productionalising AI. It uses [LangChain](https://docs.langchain.com/docs/) for managing LLM chains, [FastAPI](https://fastapi.tiangolo.com/) to create a production ready API, [Gradio](https://gradio.app/) to create a UI. At the moment it uses [OpenAI](https://openai.com/) to generate answers, but we plan to support other LLMs in the future.
 Note: This is a work in progress. The API might change.
 ```bash
@@ -76,7 +78,7 @@ from megabots import bot, create_interface
 demo = create_interface(bot("qna-over-docs"))
 ```
-# Customising bot
 The `bot` function should serve as the starting point for creating and customising your bot. Below is a list of the available arguments in `bot`.

 🤖 Megabots provides State-of-the-art, production ready LLM apps made mega-easy, so you don't have to build them from scratch 🤯 Create a bot, now 🫵
+- 👉 Join us on Discord: https://discord.gg/zkqDWk5S7P
+- ✈️ Work is managed in this project: https://github.com/users/momegas/projects/5/views/2
 The Megabots library can be used to create bots that:
+- ⌚️ are production ready, in minutes
 - 🗂️ can answer questions over documents
+- 🧑‍⚕️ can act as personal assistants and use tools (Coming soon)
+- 🗣️ can accept voice as an input (Coming soon)
+- 👍 validate and correct the outputs of large language models using [guardrails](https://github.com/ShreyaR/guardrails) (Coming soon)
+- 💰 semanticly cache LLM Queries and reduce your LLM API Costs by 10x using (Coming soon)
 - 🏋️ are mega-easily to train (Coming soon)
 🤖 Megabots is backed by some of the most famous tools for productionalising AI. It uses [LangChain](https://docs.langchain.com/docs/) for managing LLM chains, [FastAPI](https://fastapi.tiangolo.com/) to create a production ready API, [Gradio](https://gradio.app/) to create a UI. At the moment it uses [OpenAI](https://openai.com/) to generate answers, but we plan to support other LLMs in the future.
+### Getting started
 Note: This is a work in progress. The API might change.
 ```bash
 demo = create_interface(bot("qna-over-docs"))
 ```
+### Customising bot
 The `bot` function should serve as the starting point for creating and customising your bot. Below is a list of the available arguments in `bot`.

setup.py CHANGED Viewed

@@ -1,6 +1,6 @@
 from setuptools import setup, find_packages
-VERSION = "0.0.8"
 setup(
     name="megabots",

 from setuptools import setup, find_packages
+VERSION = "0.0.9"
 setup(
     name="megabots",