https://github.com/alphasecio/gemini

A Streamlit app for exploring Google Gemini models.
https://github.com/alphasecio/gemini

gemini google llm python streamlit

Last synced: about 2 months ago
JSON representation

A Streamlit app for exploring Google Gemini models.

• Host: GitHub
• URL: https://github.com/alphasecio/gemini
• Owner: alphasecio
• License: mit
• Created: 2024-05-09T10:16:51.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-12-02T06:16:12.000Z (over 1 year ago)
• Last Synced: 2025-01-05T13:23:55.314Z (over 1 year ago)
• Topics: gemini, google, llm, python, streamlit
• Language: Python
• Homepage:
• Size: 107 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

Awesome Lists containing this project

README

          
# Gemini Chatbot

A Streamlit-based chatbot that uses Google Gemini to respond to both **textual queries** and **image uploads**. Ask questions, upload images, and get AI-generated responses powered by Google's multimodal large language models.

![gemini-chatbot](./gemini-chatbot.png)

## 🔑 Setup

### Option 1 - Using Gemini Developer API

* Set the `GOOGLE_GENAI_USE_VERTEXAI` environment variable to `false`.

* Obtain a Google Gemini [API key](https://aistudio.google.com/apikey), and set the `GOOGLE_API_KEY` environment variable.

### Option 2 - Using Vertex AI

* Set the `GOOGLE_GENAI_USE_VERTEXAI` environment variable to `true`.

* Set the `GOOGLE_CLOUD_PROJECT` and `GOOGLE_CLOUD_LOCATION` environment variables respectively.

* Deploy the chatbot using Google Cloud Run in your project.

## 🚀 Usage

```bash

streamlit run streamlit_app.py

```