Scrapegraph-ai/examples/groq/search_link_graph_groq.py
Marco Vinciguerra 0b4cfd6522 fix: abstract_graph and removed unused embeddings
Co-Authored-By: Federico Aguzzi <62149513+f-aguzzi@users.noreply.github.com>
2024-08-01 14:38:50 +02:00

48 lines
1.1 KiB
Python

"""
Example of Search Graph
"""
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
# ************************************************
# Define the configuration for the graph
# ************************************************
load_dotenv()
groq_key = os.getenv("GROQ_APIKEY")
graph_config = {
"llm": {
"model": "groq/gemma-7b-it",
"api_key": groq_key,
"temperature": 0
},
"headless": False
}
# ************************************************
# Create the SearchGraph instance and run it
# ************************************************
search_graph = SearchGraph(
prompt="List me the best escursions near Trento",
config=graph_config
)
result = search_graph.run()
print(result)
# ************************************************
# Get graph execution info
# ************************************************
graph_exec_info = search_graph.get_execution_info()
print(prettify_exec_info(graph_exec_info))
# Save to json and csv
convert_to_csv(result, "result")
convert_to_json(result, "result")