QUICK_START_GUIDE.md

A/B Test Predictor - Quick Start Guide

🚀 Get Started in 3 Steps

1. Install

pip install gradio-client

2. Predict

from gradio_client import Client

client = Client("SpiralyzeLLC/ABTestPredictor")

result = client.predict(
    "control.jpg",           # Your control image
    "variant.jpg",           # Your variant image
    "SaaS",                  # Business Model
    "B2B",                   # Customer Type
    "High-Intent Lead Gen",  # Conversion Type
    "B2B Software & Tech",   # Industry
    "Awareness & Discovery", # Page Type
    api_name="/predict_with_categorical_data"
)

3. View Results

print(f"Win Probability: {result['predictionResults']['probability']}")
print(f"Confidence: {result['predictionResults']['modelConfidence']}%")

if float(result['predictionResults']['probability']) > 0.5:
    print("🎉 Variant predicted to WIN!")
else:
    print("⚠️ Control predicted to win")

📋 Input Parameters

Parameter	Values
Business Model	E-Commerce, Lead Generation, Other*, SaaS
Customer Type	B2B, B2C, Both, Other*
Conversion Type	Direct Purchase, High-Intent Lead Gen, Info/Content Lead Gen, Location Search, Non-Profit/Community, Other Conversion
Industry	Automotive & Transportation, B2B Services, B2B Software & Tech, Consumer Services, Consumer Software & Apps, Education, Finance, Insurance & Real Estate, Food, Hospitality & Travel, Health & Wellness, Industrial & Manufacturing, Media & Entertainment, Non-Profit & Government, Other, Retail & E-commerce
Page Type	Awareness & Discovery, Consideration & Evaluation, Conversion, Internal & Navigation, Post-Conversion & Other

📊 Response

{
  "predictionResults": {
    "probability": "0.682",          // >0.5 = Variant wins
    "modelConfidence": "66.1",       // Accuracy % for this category
    "trainingDataSamples": 14634,    // Training data size
    "totalPredictions": 1626,        // Total test predictions
    "correctPredictions": 1074       // Correct predictions
  }
}

🌐 Or Use Web Interface

Visit: https://huggingface.co/spaces/SpiralyzeLLC/ABTestPredictor

1. Upload images
2. Select categories
3. Click "Predict"
4. Get instant results!

📖 Full Documentation

For complete API reference, error handling, and advanced examples:

👉 See API_DOCUMENTATION.md

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Need Help? Check Common Issues in the full docs.