Spaces:
Sleeping
Sleeping
File size: 1,765 Bytes
2c9b70a 90226c7 42c18fc 87718bb 2c9b70a 21804d2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
---
title: Scenes From Tomorrow
emoji: 🏞️
colorFrom: blue
colorTo: green
sdk: docker
sdk_version: "3.10"
suggested_hardware: t4-medium
short_description: LLM-agent to help people take action on Climate Change
app_file: app.py
pinned: false
---
This chainlit app will use an [OpenAI Assistant](https://platform.openai.com/docs/assistants/overview) and the amazing [Probable futures](https://probablefutures.org/) API to provide
climate change information for a location, and provide some helpful resources for how to prepare.
The chainlit app is based off the cookbook example [here](https://github.com/Chainlit/cookbook/tree/main/openai-assistant).
# Setup
You will need a probable future API key, see [here](https://docs.probablefutures.org/api-access/) for more details. You will also need an [OPENAI key](https://platform.openai.com/docs/quickstart?context=python).
Setup a Conda environment ...
1. Install [miniconda](https://docs.conda.io/en/latest/miniconda.html) by selecting the installer that fits your OS version. Once it is installed you may have to restart your terminal (closing your terminal and opening again)
2. In this directory, open terminal
3. `conda env create -f environment.yml`
4. `conda activate climate-env`
Once you have these, then ...
1. Copy `.env.example` to `.env`
2. Set OpenAI key and Probable Futures API user and secret
3. Create assisstent with `python3 create_assistant.py`
4. Copy the assiostant id from output and put into `.env`
If you make changes to the assistant, rerun `create_assistant.py`, which will update the existing assistant.
# To run chainlit app
`chainlit run app.py`
# To view assistant on OpenAI
Go [here](https://platform.openai.com/assistants)
|