AcTora

Actora is an advanced language model and Python library for predicting user interactions on social media, helping analyze content performance and optimize marketing campaigns. Developed by AmrTweg under RdivxeAI & MechaML for research in language models applied to marketing.

Features

• User Interaction Prediction: Estimate likelihood of engagement on posts.
• Marketing Campaign Analysis: Evaluate campaign effectiveness via predicted engagement.
• Content Classification: Classify content by engagement probability.

Note

Our model delivers accuracy ranging from high to reasonable, and hallucinations may occur, which is normal in early versions of models of this type and will be continuously improved in future releases.

Installation

## Requirements

!pip install actora
!pip install torch
!pip uninstall transformers
!pip install transformers

Usage

## Example Usage

from actora import ActoraPredictor, emoji_map

# Initialize the predictor
predictor = ActoraPredictor(model_name_or_path="amrtweg/Actora")

# Example text
text_example = "مرحبا بكم في تجربة حية لنموذج AcTora"

# Get predictions
results = predictor.predict(text_example)

# Display results
print(f"النص: {text_example}")
for em, val in results.items():
    print(f"{em}: {val}")