Name		Name	Last commit message	Last commit date
parent directory ..
.env.example		.env.example
README.md		README.md
speech_graph_openai.py		speech_graph_openai.py

README.md

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

Install required dependencies
Copy .env.example to .env
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)