perchancy 0.0.5

G4F-like OpenAI compatible wrapper for Perchance AI generators

Perchancy 🚀

Perchancy is a high-speed, OpenAI-compatible Python wrapper for Perchance AI generators. Generate text and images programmatically with zero manual browser management.

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✨ Key Features

• ⚡ Blazing Fast: Optimized DOM scanning for instant extraction.
• 🤖 Auto Lifecycle: Browser closes automatically via atexit.
• 🔄 Auto-Sync Chrome: Automatically downloads matching Chrome for Testing.
• 📽️ Streaming Support: Real-time text generation.
• 🌍 Auto-Translation: Built-in Google Translate support for prompt/response.
• 🛡️ Per-Request Safety: Toggle disable_safety_settings individually for each call.

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📦 Installation

pip install perchancy

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🚀 Quick Start

Text Generation (Non-Streaming)

import perchancy

client = perchancy.Client(headless=True)

# Generate full text synchronously
response = client.chat.completions.create(
    model="ai-text-generator",
    messages=[{"role": "user", "content": "Write a 3-sentence horror story."}],
    stream=False,                 # Wait for the complete response
    translation="auto",           # Automatically translate back to your prompt's language
)

# Access content using standard OpenAI dictionary keys
content = response["choices"][0]["message"]["content"]

print(f"ID: {response['id']}")
print(f"Model: {response['model']}")
print("-" * 20)
print(content)

Text Generation (Streaming)

import perchancy

client = perchancy.Client(headless=True)

response = client.chat.completions.create(
    model="ai-text-generator",
    messages=[{"role": "user", "content": "Write a short sci-fi intro."}],
    stream=True,
    translation="auto",
)

for chunk in response:
    content = chunk["choices"][0]["delta"].get("content", "")
    if content:
        print(content, end="", flush=True)

Image Generation

import perchancy
import base64

client = perchancy.Client(headless=True)

response = client.images.generate(
    model="ai-text-to-image-generator",
    prompt="cyberpunk city, neon lights",
    num_images=2,
    disable_safety_settings=True
)

for i, img in enumerate(response.get("data", [])):
    with open(f"out_{i}.png", "wb") as f:
        f.write(base64.b64decode(img["url"]))

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🛠 Advanced: Extra Params & Mappings

Perchance generators often have sliders, dropdowns, or input fields (like seed, guidanceScale, or negativePrompt). You can control these using extra_params.

1. How to find parameters?

1. Open the generator in your browser.
2. Right-click any UI element (slider, input, etc.) and click Inspect.
3. Note the id, name, or data-name (e.g., id="seedInput").

2. Usage Example

client.images.generate(
    model="ai-text-to-image-generator",
    prompt="A magical forest",
    # Set values directly using element IDs
    extra_params={
        "guidanceScale": "7.5",
        "negativePrompt": "low quality, blurry"
    },
    # Use mappings to create aliases for complex selectors
    param_mappings={
        "quality": ["#resolution-dropdown-id", "[data-name='qualitySelect']"]
    },
    quality="high" # Now 'quality' works as a direct argument via **kwargs
)

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🔐 Authentication (Optional)

from perchancy.auth import login_and_save_cookies
login_and_save_cookies()

Note:

• Authentication is NOT required. The library works perfectly as a guest.
• This is intended for advanced users to bypass guest limits.
• Disclaimer: The auth module's functionality has not been verified as guest mode proved sufficient during development.

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📖 Documentation Summary

• Finding Models: The "model" is the slug in the URL: perchance.org/NAME.
• Client Configuration:
  • headless (bool): Run in background (default: True).
  • debug (bool): Enable detailed status logs.
• Custom Selectors: You can manually override input_selectors, button_selectors, or output_selectors in the create/generate methods if a specific generator has a non-standard layout.

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⚠️ Disclaimer

Unofficial wrapper. Use for educational purposes only. Author is not responsible for any misuse or bans.

📝 License

MIT License.

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Created with ❤️ by BlackCrowy