This example demonstrates how to use Scrapegraph-ai for speech processing and analysis.
- Speech-to-text conversion
- Audio processing
- Text analysis
- Sentiment analysis
- Install required dependencies
- Copy
.env.exampleto.env - Configure your API keys in the
.envfile
from scrapegraphai.graphs import SpeechGraph
graph = SpeechGraph()
text = graph.process("audio_file.mp3")Required environment variables:
OPENAI_API_KEY: Your OpenAI API keyWHISPER_API_KEY: Your Whisper API key (optional)
