rawa-bots 0.2.2

A Python library to easily build Gemini-powered chatbots and generate images.

rawa_bots

A Python library to easily build Gemini-powered chatbots and generate images with minimal code.

Features

• Easy Gemini API integration
• Conversational and single-turn modes
• Automatic conversation history
• Custom generation parameters (temperature, top_p, etc.)
• Graceful error handling with custom exceptions
• Image generation support (with save and preview options)
• Ready for PyPI packaging

Installation

pip install rawa_bots

Note: Requires Python 3.8+ and a valid Gemini API key. The google-genai package will be installed automatically.

Usage Example

from rawa_bots import GeminiBot

bot = GeminiBot(
    api_key="YOUR_API_KEY",
    # model_name is optional; defaults to 'gemini-2.0-flash' for text, 'gemini-2.0-flash-preview-image-generation' for images
    system_prompt="You are helpful.",
    conversational=True,
    allow_image_gen=True  # Enable image generation
)

# Text chat
print(bot.ask("Hello!"))

# Image generation (returns URL or file path)
img_path = bot.generate_image(
    "A dragon flying over a castle at night",
    output_path="dragon.png",  # Save to file (optional)
    show=True                   # Open image after saving (optional)
)
print("Image saved to:", img_path)

Image Generation API

• allow_image_gen: Set to True to enable image generation.
• generate_image(prompt, resolution="1024x1024", n=1, output_path=None, show=False)
  • prompt: The image prompt.
  • resolution: Image resolution (default: 1024x1024).
  • n: Number of images to generate.
  • output_path: If set, saves the image(s) to this path (adds _1, _2, ... if n > 1).
  • show: If True, opens the image(s) after saving.
  • Returns: URL(s) or file path(s).

Listing Available Models

You can list all available Gemini models with:

from google import genai
client = genai.Client(api_key="YOUR_API_KEY")
print([m.name for m in client.models.list()])

Error Handling

• GeminiError: Base exception for all GeminiBot errors
• AuthenticationError: Raised for authentication issues
• InvalidModelError: Raised if the model name is invalid
• ImageGenNotAllowedError: Raised if image generation is not enabled
• ImageGenAPIError: Raised for image generation API errors

Testing

Run tests with:

python -m unittest discover tests

License

MIT License