Unable to resolve the issue encountered

[SaiSanthosh1508]

import requests
import json

@tool("search internet")
def search_internet(query):
    '''
    Searches the internet and retrieves information relevant to the query
    '''

    url = "https://google.serper.dev/search"

    payload = json.dumps({
        "q": query,
        "gl": "in",
        "num": 20,
        "tbs": "qdr:d"
        })
    headers = {
        'X-API-KEY': '1e0e8cbcc3fa0c4877496f35ab6d26bf529fbb75',
        'Content-Type': 'application/json'
        }

    response = requests.request("POST", url, headers=headers, data=payload)
    result = response.json()['organic']

    string = []
    for i in result:
        string.append(
            "".join([
                F"title:{i['title']}\n",
                f"snippet:{i['snippet']}\n",
                f"url:{i['link']}\n",
                "\n\n"
            ])
        )
    return "".join(string)


from crewai.llm import LLM

retriever_agent = Agent(
    role="AI News Retriever",
    goal=(
        "Retrieve the latest, trending, and relevant AI advancements and breakthroughs "
        "published on the internet within the past 24 hours."
    ),
    backstory=(
        "You are an expert news retriever with a keen ability to search and identify the "
        "most recent and significant AI-related news articles. You ensure that only the "
        "most accurate, up-to-date, and trending content is delivered efficiently."
    ),
    tools=[search_internet],
    llm=LLM(model="groq/llama3-8b-8192", max_tokens=4800),
    verbose=True,
    allow_delegation=True
)

formatter_agent = Agent(
    role="News Formatter",
    goal=(
        "Transform the retrieved news articles into a visually appealing and well-structured "
        "markdown format, leveraging advanced markdown features to enhance readability and presentation."
    ),
    backstory=(
        "You are a highly skilled news formatter with expertise in crafting visually engaging and "
        "well-organized articles. You ensure the output is clean, professional, and easy to read, "
        "utilizing the latest markdown capabilities effectively."
    ),
    llm=LLM(model="gemini/gemini-1.5-pro"),
    verbose=True
)

news_retrieval_task = Task(
    name="AI News Retrieval Task",
    description=(
        "Retrieve the latest news articles from the internet about AI advancements and breakthroughs "
        "that occurred in the past 24 hours."
    ),
    agent=retriever_agent,
    output_file="news.json",
    expected_output=(
        "The retrieved news articles should be structured as a list of JSON objects, where each article "
        "follows this format:\n\n"
        "{\n"
        '    "title": "Title of the news article",\n'
        '    "images_url": "URL of the image associated with the news article (if any exists)",\n'
        '    "content": "Content of the news article",\n'
        '    "source": "Source or publisher of the news article",\n'
        '    "url": "Direct URL to the full news article"\n'
        "}"
    )
)

news_formatter_task = Task(
    name="AI News Formatting Task",
    description=(
        "Format the retrieved news articles into visually appealing and readable markdown format, "
        "utilizing the latest features of markdown for enhanced presentation."
    ),
    agent=formatter_agent,
    output_file="news.md",
    context=[news_retrieval_task],
    expected_output=(
        "Each news article should be formatted in markdown, ensuring it is visually appealing and easy to read.\n\n"
        "### Example Output:\n\n"
        "# Title of the News Article\n"
        "![Image Description](Image URL if available)\n\n"
        "Content of the news article goes here. Ensure proper line breaks and clean formatting for readability.\n\n"
        "**Source:** [Publisher Name](URL of the news article)\n"
        "---\n"
        "Repeat the above structure for each news article."
    )
)

from crewai import Process
crew = Crew(
    tasks = [news_retrieval_task,news_formatter_task],
    agents = [retriever_agent,formatter_agent],
    process = Process.sequential,
    verbose = True
)

crew.kickoff()

Need help to resolve the issue, I tried using chatgpt but unable to rectify