Verbify

Verbify is an open-source library that integrates Large Language Models (LLMs) with traditional NLP libraries to provide advanced text analysis and generation capabilities.

Features

• Advanced Sentiment Analysis
• Contextual Text Generation
• Enhanced Named Entity Recognition (NER)
• Text Summarization
• Text Classification
• Question Answering
• Grammar and Style Correction
• Language Translation

And so on

📦 Install

First of all, create a virtual environment with the command python3 -m venv venv_name and activate it with source venv_name\bin\activate.

After that, install the required libraries with pip install -r requirements.in

🔑 Set API Keys

In order to set API keys, insert your keys into the env.example file and rename it to .env.

🔍 Usage

Instantiate an LLM with your text:

text = "The latest iPhone model has many new features."
llm = GroqLLM(api_key=os.getenv("GROQ_API_KEY"), text=text)

And extract informations:

print(sentiment_analysis(llm=llm))

{
  'text': 'The latest iPhone model has many new features.',
  'sentiment_label': 'Positive',
  'sentiment_score': '0.8'
  }

print(translate(llm=llm, language="it"))

{
  'text': 'The latest iPhone model has many new features.',
  'translated_text': "L'ultimo modello di iPhone ha molte nuove funzionalità."
}

print(classify(llm=llm, language="it"))

{
  'text': 'The latest iPhone model has many new features.',
  'labels': ['Technology', 'Gadgets', 'Innovation', 'Electronics', 'Smartphones']
}