Hi, we did on the branch, just wait till the deployment is done
The configuration is the following:
`"""
Basic example of scraping pipeline using SmartScraper
"""
from scrapegraphai.graphs import SmartScraperGraph
from scrapegraphai.utils import prettify_exec_info

************************************************

Define the configuration for the graph

************************************************

graph_config = {
"llm": {
"model": "ollama/gemma",
"temperature": 0,
"format": "json", # Ollama needs the format to be specified explicitly
# "model_tokens": 2000, # set context length arbitrarily,
"base_url": "http://localhost:11434", # set ollama URL arbitrarily
},
"embeddings": {
"model": "ollama/nomic-embed-text",
"temperature": 0,
"base_url": "http://localhost:11434", # set ollama URL arbitrarily
}
}

************************************************

Create the SmartScraperGraph instance and run it

************************************************

smart_scraper_graph = SmartScraperGraph(
prompt="List me all the news with their description.",
# also accepts a string with the already downloaded HTML code
source="https://perinim.github.io/projects",
config=graph_config
)

result = smart_scraper_graph.run()
print(result)

************************************************

Get graph execution info

************************************************

graph_exec_info = smart_scraper_graph.get_execution_info()
print(prettify_exec_info(graph_exec_info))`, When we make the next deploy you can use it, just wait

from scrapegraph-ai.

@VinciGit00 Thank for the prompt response. When will be the next deployment or version release?

if you are referring to scrapegraphai==0.4.1 this version still have the issue.

from scrapegraph-ai.