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26 lines
770 B
Python
26 lines
770 B
Python
import os
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from dotenv import load_dotenv
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from scrapegraphai.builders import GraphBuilder
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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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"model_name": "gpt-3.5-turbo",
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"temperature": 0,
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"streaming": True
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}
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# Example usage of GraphBuilder
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user_prompt = "Extract the news and generate a text summary with a voiceover."
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graph_builder = GraphBuilder(user_prompt, llm_config)
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graph_json = graph_builder.build_graph()
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# Convert the resulting JSON to Graphviz format
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graphviz_graph = graph_builder.convert_json_to_graphviz(graph_json)
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# Save the graph to a file and open it in the default viewer
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graphviz_graph.render('ScrapeGraphAI_generated_graph', view=True)
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