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import streamlit as st | |
from phi.agent import Agent | |
from phi.model.groq import Groq | |
from phi.tools.duckduckgo import DuckDuckGo | |
from phi.tools.newspaper4k import Newspaper4k | |
import os | |
from dotenv import load_dotenv | |
# Load environment variables | |
load_dotenv() | |
# Access the Groq API key | |
groq_api_key = os.getenv("GROQ_API_KEY") | |
# Create the Agent | |
agent = Agent( | |
model=Groq(id="llama-3.3-70b-versatile", api_key=groq_api_key), | |
tools=[DuckDuckGo(), Newspaper4k()], | |
description="You are a senior NYT researcher writing an article on a topic.", | |
instructions=[ | |
"For a given topic, search for the top 5 links.", | |
"Then read each URL and extract the article text, if a URL isn't available, ignore it.", | |
"Analyse and prepare an NYT worthy article based on the information.", | |
], | |
markdown=True, | |
show_tool_calls=True, | |
add_datetime_to_instructions=True, | |
# debug_mode=True, | |
) | |
# Streamlit app | |
def main(): | |
st.title("NYT Article Generator") | |
topic = st.text_input("Enter a topic:") | |
if st.button("Generate Article"): | |
if topic: | |
with st.spinner("Generating article..."): | |
response = agent.run(topic) | |
st.markdown(response) | |
else: | |
st.warning("Please enter a topic.") | |
if __name__ == "__main__": | |
main() |