mirror of
https://github.com/VinciGit00/Scrapegraph-ai.git
synced 2026-07-12 21:01:56 +08:00
46 lines
1.1 KiB
Python
46 lines
1.1 KiB
Python
"""
|
|
Example of OmniSearchGraph
|
|
"""
|
|
import os
|
|
import json
|
|
from dotenv import load_dotenv
|
|
from scrapegraphai.graphs import OmniSearchGraph
|
|
from scrapegraphai.utils import prettify_exec_info
|
|
|
|
load_dotenv()
|
|
|
|
# ************************************************
|
|
# Define the configuration for the graph
|
|
# ************************************************
|
|
|
|
openai_key = os.getenv("OPENAI_APIKEY")
|
|
|
|
graph_config = {
|
|
"llm": {
|
|
"api_key": openai_key,
|
|
"model": "openai/gpt-4o",
|
|
},
|
|
"max_results": 2,
|
|
"max_images": 1,
|
|
"verbose": True,
|
|
}
|
|
|
|
# ************************************************
|
|
# Create the OmniSearchGraph instance and run it
|
|
# ************************************************
|
|
|
|
omni_search_graph = OmniSearchGraph(
|
|
prompt="List me all Chioggia's famous dishes and describe their pictures.",
|
|
config=graph_config
|
|
)
|
|
|
|
result = omni_search_graph.run()
|
|
print(json.dumps(result, indent=2))
|
|
|
|
# ************************************************
|
|
# Get graph execution info
|
|
# ************************************************
|
|
|
|
graph_exec_info = omni_search_graph.get_execution_info()
|
|
print(prettify_exec_info(graph_exec_info))
|