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| .. | ||
| .env.example | ||
| README.md | ||
| speech_graph_openai.py | ||
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.exampleto.env - Configure your API keys in the
.envfile
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 keyWHISPER_API_KEY: Your Whisper API key (optional)