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52 lines
1.2 KiB
Python
52 lines
1.2 KiB
Python
"""
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Example of custom graph using existing nodes
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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.models import OpenAI
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from scrapegraphai.graphs import BaseGraph
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from scrapegraphai.nodes import TextNode, ParseHTMLNode, GenerateAnswerNode
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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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model = OpenAI(llm_config)
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text = open("text_example.txt", "r", encoding="utf-8")
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# define the nodes for the graph
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fetch_html_node = TextNode("fetch_html")
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parse_document_node = ParseHTMLNode("parse_document", )
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generate_answer_node = GenerateAnswerNode(model, "generate_answer")
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# create the graph
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graph = BaseGraph(
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nodes={
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fetch_html_node,
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parse_document_node,
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generate_answer_node
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},
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edges={
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(fetch_html_node, parse_document_node),
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(parse_document_node, generate_answer_node)
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},
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entry_point=fetch_html_node
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)
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# execute the graph
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inputs = {"user_input": "Give me the news",
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"url": text}
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result = graph.execute(inputs)
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# get the answer from the result
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answer = result.get("answer", "No answer found.")
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print(answer)
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