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feat(burr): added burr integration in graphs and optional burr instal…
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""" | ||
Example of Search Graph | ||
""" | ||
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import os | ||
from dotenv import load_dotenv | ||
from scrapegraphai.graphs import SearchGraph | ||
from scrapegraphai.utils import convert_to_csv, convert_to_json, prettify_exec_info | ||
load_dotenv() | ||
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# ************************************************ | ||
# Define the configuration for the graph | ||
# ************************************************ | ||
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openai_key = os.getenv("OPENAI_APIKEY") | ||
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graph_config = { | ||
"llm": { | ||
"api_key": openai_key, | ||
"model": "gpt-3.5-turbo", | ||
}, | ||
"max_results": 2, | ||
"verbose": True, | ||
"burr_kwargs": { | ||
"project_name": "search-graph-openai", | ||
} | ||
} | ||
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# ************************************************ | ||
# Create the SearchGraph instance and run it | ||
# ************************************************ | ||
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search_graph = SearchGraph( | ||
prompt="List me Chioggia's attractions.", | ||
config=graph_config | ||
) | ||
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result = search_graph.run() | ||
print(result) | ||
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# ************************************************ | ||
# Get graph execution info | ||
# ************************************************ | ||
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graph_exec_info = search_graph.get_execution_info() | ||
print(prettify_exec_info(graph_exec_info)) | ||
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# Save to json and csv | ||
convert_to_csv(result, "result") | ||
convert_to_json(result, "result") |
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