Gemini Chat
Welcome to Gemini Chat, a powerful AI-driven chat application that allows users to interact with Google's Gemini AI. This project showcases various features, including screenshot capture and Python script execution on your local machine.
Features
1. Chat with Gemini AI
- Users can type messages and receive intelligent responses generated by the Gemini AI model.
2. Screenshot Capture
- Type
screenshot
in the chat to capture the current screen. The application will minimize the terminal window, take a screenshot, save it in a folder called screenshots
, and then restore the terminal window. - Screenshots are saved with incremental naming, such as
screenshot1.png
, screenshot2.png
, etc.
3. Run Python Scripts
- When Gemini AI provides code in response to user queries, it can save the code in a
temporarycodes
folder as tempcode1.py
, tempcode2.py
, and so forth. - Users can choose to execute the saved Python script directly from the application, and the output will be displayed in the terminal.
4. API Key Management
- On the first run, the application prompts the user to enter their Google Gemini API key through a Tkinter GUI window. The key is saved in an
apikey.txt
file for future use. - If
apikey.txt
already exists, the application will use the stored key without prompting the user again.
Installation
To install this project, follow these steps:
pip install geminicontrolpc
Usage
Run the Application: Launch the application by typing the following command in your terminal:
geminicontrolpc
Interact with the AI:
Start chatting by typing your questions or commands in the terminal.
To take a screenshot, simply type:
screenshot
Run Python Code:
If Gemini AI provides code, you can execute it by responding to the prompt after the code is saved.
Contributions
Contributions are welcome! Please submit a pull request or create an issue for any feature requests or bug reports.
License
This project has no liscence! I really dont even know what a lisence is haha.
Acknowledgments
Thanks to Google for providing the Gemini AI model.
Special thanks to the developers of the libraries used in this project: Pillow, PyGetWindow, and Tkinter.
Contact
For more information, feel free to reach out to me at allanleonardiii@gmail.com or trey6383@outlook.com. If you email trey6383@outlook.com theres a higher chance ill see it.