Gemini-powered AI helper functions for Flask web apps
Project description
amm-geminiassist
A simple Python library that wraps the Gemini API to process user queries, summarize long text, and format AI output.
This library is designed to be used in Flask web applications for AI-powered web assistants.
🧾 Overview
amm-geminiassist is a lightweight utility library that provides:
get_response(prompt)— ask any question and get an AI responsesummarize_text(text)— summarize long text using AIformat_response(text)— clean and format AI output
This library uses Google Gemini API, which offers fast and affordable text generation.
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file amm_geminiassist-0.1.0.tar.gz.
File metadata
- Download URL: amm_geminiassist-0.1.0.tar.gz
- Upload date:
- Size: 1.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6a8a6fa670bf89e2aecdc75f52143c58dc36847cfcdef98c652012f09d69bca2
|
|
| MD5 |
ddab95d46468c602f723479888b7c9e0
|
|
| BLAKE2b-256 |
81fef0b2ca334ebd02157fad874efe311c781bd3ed21b7a3b9b3c4c200c1614c
|
File details
Details for the file amm_geminiassist-0.1.0-py3-none-any.whl.
File metadata
- Download URL: amm_geminiassist-0.1.0-py3-none-any.whl
- Upload date:
- Size: 1.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f12fef9ef2da377e250cef62e7dafce1d4dfc8df9c162ffeda997e49900be1f7
|
|
| MD5 |
ccca08c7549a4b22ef4c9e2a13f72da0
|
|
| BLAKE2b-256 |
42b3059e45bc6dfb2f86c7287f23c8d2c0ad8e4390728a21c9b00eb18be50be7
|