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add links to readme
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javierluraschi committed May 30, 2024
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12 changes: 12 additions & 0 deletions CITATION.cff
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# This CITATION.cff file was generated with cffinit.
cff-version: 1.2.0
title: Hal9
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Javier
family-names: Luraschi
affiliation: Hal9
license: MIT
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10 changes: 6 additions & 4 deletions README.md
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# Hal9: Create and Share Generative Apps

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Hal9 PyPi Downloads](https://img.shields.io/pypi/dm/hal9?label=PyPI)](https://pypi.org/project/hal9/)
[![GitHub star chart](https://img.shields.io/github/stars/hal9ai/hal9?style=flat-square)](https://star-history.com/#hal9ai/hal9)

Create and deploy generative (LLMs and [difussers](https://github.com/huggingface/diffusers)) applications (chatbots and APIs) in seconds.
- **Open:** Use any model (OpenAI, Llama, Groq, Midjourney) and any library like (LangChainl, DSPy).
- **Intuitive:** No need to learn app frameworks (flask), simply use stdin and stdout, or write file to disk.
- **Scalable:** Engineers can integrate your app with scalable technilogies (Docker, Kubernetes, etc)
Create and deploy generative ([LLMs](https://github.com/Hannibal046/Awesome-LLM) and [diffusers](https://github.com/huggingface/diffusers)) applications (chatbots and APIs) in seconds.
- **Open:** Use any model ([OpenAI](https://platform.openai.com/docs/api-reference/introduction), [Llama](https://ai.meta.com/blog/5-steps-to-getting-started-with-llama-2/), [Groq](https://docs.api.groq.com/md/tutorials/python.groqapi.html), [MidJourney](https://docs.imagineapi.dev/en)) and any library like ([LangChainl](https://python.langchain.com/v0.1/docs/get_started/quickstart/), [DSPy](https://dspy-docs.vercel.app/docs/quick-start/installation)).
- **Intuitive:** No need to learn app frameworks ([Flask](https://flask.palletsprojects.com/en/3.0.x/quickstart/)), simply use stdin and stdout, or write file to disk.
- **Scalable:** Engineers can integrate your app with scalable technilogies ([Docker](https://www.docker.com/), [Kubernetes](https://kubernetes.io/), etc)
- **Powerful:** Using an OS process (stdin, stdout, files) as our app contract, enables long-running agents, multiple programming languages, and complex system dependencies.

Focus on AI (RAG, fine-tuning, aligment, training) and skip engineering tasks (frontend development, backend integration, deployment, operations).
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2 changes: 1 addition & 1 deletion python/pyproject.toml
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[tool.poetry]
name = "hal9"
version = "2.1.5"
version = "2.1.6"
description = ""
authors = ["Javier Luraschi <[email protected]>"]
readme = "README.md"
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