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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 dotenv import load_dotenv
# Load environment variables
load_dotenv()
# Groq API Key (Replace with your actual API key)
GROQ_API_KEY = "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"
# Web agent to fetch and summarize news
web_agent = Agent(
name="Web Agent",
model=Groq(id="llama-3.3-70b-versatile", api_key=GROQ_API_KEY),
tools=[DuckDuckGo()], # Use DuckDuckGo for web searches
instructions=[
"Search for the latest AI news.",
"Summarize the main points clearly and concisely.",
"Always include sources for all information.",
"Format the response in Markdown for clarity."
],
show_tool_calls=True, # Enable logging of tool usage
markdown=True # Format the output in Markdown
)
# Function to fetch news based on user query
def fetch_news(query):
response = web_agent.execute(query) # Fetch and summarize news using 'execute' method
return response
# Streamlit App
st.title("AI News Fetcher")
st.markdown("""
Welcome to the **AI News Fetcher** app! Enter your query to find the latest summaries of AI-related news or any topic of interest.
---
""")
# User input for query
user_query = st.text_input("Enter your query:", placeholder="Find the latest news about AI, summarize advancements in robotics, etc.")
if st.button("Fetch News"):
if user_query.strip():
st.info("Fetching the news. This may take a few seconds...")
try:
news_summary = fetch_news(user_query)
st.markdown(news_summary) # Display the news summary in Markdown format
except Exception as e:
st.error(f"An error occurred: {str(e)}")
else:
st.warning("Please enter a valid query.")
else:
st.write("Enter a query and click the button to fetch news.")
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