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39 lines
941 B
Python
39 lines
941 B
Python
"""
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Basic example of scraping pipeline using SpeechSummaryGraph
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"""
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import os
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from dotenv import load_dotenv
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from scrapegraphai.graphs import SpeechGraph
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load_dotenv()
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openai_key = os.getenv("OPENAI_APIKEY")
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# Save the audio to a file
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file_name = "website_summary.mp3"
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curr_dir = os.path.dirname(os.path.realpath(__file__))
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output_path = os.path.join(curr_dir, file_name)
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# Define the configuration for the graph
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graph_config = {
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"llm": {
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"api_key": openai_key,
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"model": "gpt-3.5-turbo",
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},
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"tts_model": {
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"api_key": openai_key,
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"model": "tts-1",
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"voice": "alloy"
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},
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"output_path": output_path,
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}
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speech_graph = SpeechGraph(
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prompt = "List me all the projects and generate and audio for me to listen to.",
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url = "https://perinim.github.io/projects/",
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config = graph_config,
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)
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final_state = speech_graph.run()
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print(final_state.get("answer", "No answer found."))
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