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https://github.com/rahul-sahani04/gemini-pro-vision-chatbot
Gemini Pro AI is a Streamlit-powered application leveraging Google's Generative AI API. Engage in dynamic text and image-based conversations with Gemini Pro and Gemini Pro Vision models. Simply input text or upload images to receive contextual and creative responses. Explore the possibilities of conversational AI with Gemini Pro AI.
https://github.com/rahul-sahani04/gemini-pro-vision-chatbot
gemini-pro google-ai python3 streamlit
Last synced: about 1 month ago
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Gemini Pro AI is a Streamlit-powered application leveraging Google's Generative AI API. Engage in dynamic text and image-based conversations with Gemini Pro and Gemini Pro Vision models. Simply input text or upload images to receive contextual and creative responses. Explore the possibilities of conversational AI with Gemini Pro AI.
- Host: GitHub
- URL: https://github.com/rahul-sahani04/gemini-pro-vision-chatbot
- Owner: Rahul-Sahani04
- Created: 2024-02-08T11:03:26.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-02-08T11:52:42.000Z (about 1 year ago)
- Last Synced: 2024-11-08T07:42:11.317Z (3 months ago)
- Topics: gemini-pro, google-ai, python3, streamlit
- Language: Python
- Homepage: https://gemini-pro-vision-chatbot.streamlit.app/
- Size: 5.86 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: ReadMe.md
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README
# Gemini Pro AI
Gemini Pro AI is a Streamlit-based application that utilizes the Gemini Pro and Gemini Pro Vision models from the Google Generative AI API to provide text and image-based conversational responses.
## Overview
Gemini Pro AI allows users to engage in a chat with the Gemini Pro AI models, enabling conversations with both text and image inputs. The application utilizes Streamlit for the user interface and Google Generative AI API for generating responses.
## Getting Started
To run the application, make sure you have the required dependencies installed. You can install them using the following command:
```bash
pip install streamlit pillow python-dotenv google-generativeai
```
Additionally, you need to set up your Gemini API key. You can either set it as an environment variable named `GENAI_API_KEY` or enter it when prompted.
```bash
export GENAI_API_KEY=your_api_key
```
## Usage
Run the application using the following command:
```bash
streamlit run your_app_file.py
```
Once the application is running, you can interact with Gemini Pro AI:
1. Enter text in the input box.
2. Optionally, upload an image using the file uploader.
3. Click the "Send" button to initiate the conversation.
Gemini Pro AI will process your input and generate responses based on the configured models. Conversations will be displayed in the chat container.
## Configuration
Gemini Pro AI is configured with the following settings:
- **Text Chat Model:**
- Model Name: gemini-pro
- Generation Configuration:
- Temperature: 0.9
- Top-p: 1
- Top-k: 32
- Max Output Tokens: 8192
- Safety Settings:
- HARM_CATEGORY_HARASSMENT: BLOCK_MEDIUM_AND_ABOVE
- HARM_CATEGORY_HATE_SPEECH: BLOCK_MEDIUM_AND_ABOVE
- HARM_CATEGORY_SEXUALLY_EXPLICIT: BLOCK_MEDIUM_AND_ABOVE
- HARM_CATEGORY_DANGEROUS_CONTENT: BLOCK_MEDIUM_AND_ABOVE
- **Image Chat Model:**
- Model Name: gemini-pro-vision
- Generation Configuration: (Same as Text Chat Model)
- Safety Settings: (Same as Text Chat Model)
## Example
```python
python your_app_file.py
```
Visit [http://localhost:8501](http://localhost:8501) in your web browser to interact with Gemini Pro AI.
## Contributions
Contributions are welcome! Feel free to open issues or pull requests to enhance the functionality or fix any issues.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.