No-code AI chatbot using Ollama.
Project description
LlamaScript
LlamaScript is a no-code AI chatbot using Ollama.
Table of Contents
Installation
You can install LlamaScript using pip:
pip install llamascript
Usage
To use LlamaScript, create a llama file (no file extension) with the following commands:
IGNORE: Use this before the CHAT command to supress the welcome message.
USE <model>: This command loads the specified model.
SYSTEM <message>: This command sets the system prompt.
PROMPT <message>: This command sets the message to be sent to the chatbot.
CHAT: This command sends the message to the chatbot and prints the response.
Here's an example:
IGNORE
USE llama3
PROMPT Hello, how are you?
CHAT
[!NOTE]
For more examples see here.
You can then run LlamaScript with the following command:
llamascript
LlamaScript usually has a file extension of .llama
, but if it is ran as a main script, it is usually llama
(no file extension).
License
LlamaScript is licensed under the Apache 2.0 License.
Roadmap
Things to come in the future:
- An
API
command to serve on Flask - Plugins/Extensions handling (Help Wanted)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
llamascript-0.6.4.tar.gz
(8.3 kB
view details)
Built Distribution
File details
Details for the file llamascript-0.6.4.tar.gz
.
File metadata
- Download URL: llamascript-0.6.4.tar.gz
- Upload date:
- Size: 8.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.9.19
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 31fcf8738c54b834ad905d66476883a92d1a6f128bcf3ac497d8ea6d2fb19304 |
|
MD5 | 575ff74132c83cabbd93c16972d2cd58 |
|
BLAKE2b-256 | 4155a5ec34dc066187f99104801a9fd1f0f8c2fe3fa47b64eb7b595e0620d800 |
Provenance
File details
Details for the file llamascript-0.6.4-py3-none-any.whl
.
File metadata
- Download URL: llamascript-0.6.4-py3-none-any.whl
- Upload date:
- Size: 8.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.9.19
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | de7c8c2e0265035414e99d6ef3ce261aa54a299bd856e33f2d312fe3284bcbe7 |
|
MD5 | e6ea307b46dcd6ad238dd48a12bb00be |
|
BLAKE2b-256 | e1f0f302676a9cde47de0f26b0890b395708ee24755534bce8e3eba511daf407 |