Scrapegraph-ai/examples/speech_graph
2025-01-07 14:48:40 +01:00
..
.env.example refactoring examples 2025-01-07 14:48:40 +01:00
README.md refactoring examples 2025-01-07 14:48:40 +01:00
speech_graph_openai.py refactoring examples 2025-01-07 14:48:40 +01:00

Speech Graph Example

This example demonstrates how to use Scrapegraph-ai for speech processing and analysis.

Features

  • Speech-to-text conversion
  • Audio processing
  • Text analysis
  • Sentiment analysis

Setup

  1. Install required dependencies
  2. Copy .env.example to .env
  3. Configure your API keys in the .env file

Usage

from scrapegraphai.graphs import SpeechGraph

graph = SpeechGraph()
text = graph.process("audio_file.mp3")

Environment Variables

Required environment variables:

  • OPENAI_API_KEY: Your OpenAI API key
  • WHISPER_API_KEY: Your Whisper API key (optional)