Spaces:
Sleeping
Sleeping
File size: 1,325 Bytes
97f86de |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 |
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() |