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28 lines
832 B
Python
28 lines
832 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 SpeechSummaryGraph
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load_dotenv()
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# Define the configuration for the language model
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openai_key = os.getenv("OPENAI_APIKEY")
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llm_config = {
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"api_key": openai_key,
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}
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# Save the audio to a file
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curr_dir = os.path.dirname(os.path.realpath(__file__))
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output_file_path = os.path.join(curr_dir, "website_summary.mp3")
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speech_summary_graph = SpeechSummaryGraph("""Make a summary of the webpage to be
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converted to audio for blind people.""",
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"https://perinim.github.io/projects/", llm_config,
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output_file_path)
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final_state = speech_summary_graph.run()
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print(final_state.get("answer", "No answer found."))
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