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import streamlit as st
import pandas as pd
from typing import Union, List, Dict
from groq import Groq
import os
from duckduckgo_search import DDGS
# Set page configuration with fullscreen layout and custom theme
st.set_page_config(
page_title="Z-Alpha News Analysis",
layout="wide",
initial_sidebar_state="collapsed",
page_icon="π"
)
# Execute JavaScript to make the app fullscreen on load
st.markdown("""
<script>
document.addEventListener('DOMContentLoaded', (event) => {
// Request fullscreen on page load
document.documentElement.requestFullscreen().catch(e => {
console.log("Fullscreen request failed: ", e);
});
});
</script>
""", unsafe_allow_html=True)
# Enhanced CSS for a more beautiful Google DeepMind-inspired styling with green background
st.markdown("""
<style>
/* Base styles */
html, body, .stApp, .main {
background-color: #000000 !important;
color: #ffffff !important;
}
/* Typography */
h1, h2, h3, h4, h5, h6 {
color: #00ff00 !important;
font-family: 'Courier New', monospace !important;
}
p, div, span {
color: #cccccc !important;
}
/* Cards and containers */
.card {
background-color: #0a0a0a !important;
border: 1px solid #00ff00 !important;
border-radius: 4px !important;
box-shadow: 0 0 15px rgba(0, 255, 0, 0.2) !important;
}
/* Analysis results */
.analysis-result {
background-color: #121212 !important;
border-left: 4px solid #00ff00 !important;
color: #ffffff !important;
font-family: 'Courier New', monospace !important;
padding: 1.5rem !important;
}
/* Input fields */
.stTextInput input {
background-color: #121212 !important;
color: #00ff00 !important;
border: 1px solid #00ff00 !important;
border-radius: 0 !important;
}
/* Buttons */
.stButton > button {
background: linear-gradient(45deg, #00ff00, #003300) !important;
color: #000000 !important;
border: none !important;
border-radius: 0 !important;
font-family: 'Courier New', monospace !important;
font-weight: bold !important;
transition: all 0.3s ease !important;
}
.stButton > button:hover {
box-shadow: 0 0 20px #00ff00 !important;
transform: scale(1.05) !important;
}
/* Source items */
.source-item {
border-bottom: 1px solid #333333 !important;
padding: 1rem 0 !important;
}
.source-title {
color: #00ff00 !important;
font-family: 'Courier New', monospace !important;
}
/* Links */
a {
color: #00ff00 !important;
text-decoration: underline !important;
}
a:hover {
color: #99ff99 !important;
}
/* Status indicators */
.status-badge {
background-color: #002200 !important;
color: #00ff00 !important;
border: 1px solid #00ff00 !important;
}
/* Tabs */
.stTabs [aria-selected="true"] {
background-color: #121212 !important;
color: #00ff00 !important;
border-bottom: 2px solid #00ff00 !important;
}
/* Logo styling */
.logo-text {
background: linear-gradient(90deg, #00ff00, #99ff99) !important;
-webkit-background-clip: text !important;
-webkit-text-fill-color: transparent !important;
text-shadow: 0 0 10px rgba(0, 255, 0, 0.5) !important;
}
/* Icons */
.float-icon svg {
filter: drop-shadow(0 0 5px #00ff00);
}
/* Scrollbar styling */
::-webkit-scrollbar {
width: 8px;
}
::-webkit-scrollbar-track {
background: #000000;
}
::-webkit-scrollbar-thumb {
background: #00ff00;
border-radius: 4px;
}
/* Dropdown menus */
.stSelectbox div[data-baseweb="select"] div {
background-color: #121212 !important;
color: #00ff00 !important;
border: 1px solid #00ff00 !important;
border-radius: 0 !important;
}
/* Sliders */
.stSlider .thumb {
background-color: #00ff00 !important;
}
.stSlider .track {
background-color: #003300 !important;
}
</style>
""", unsafe_allow_html=True)
class DuckDuckGoSearch:
"""
Custom DuckDuckGo search implementation with robust error handling and result processing.
Uses the duckduckgo_search library to fetch and format news results.
"""
def __init__(self):
# Initialize the DuckDuckGo search session
self.ddgs = DDGS()
def __call__(self, query: str, max_results: int = 5) -> str:
try:
# Perform the search and get results
# The news method is more appropriate for recent news analysis
search_results = list(self.ddgs.news(
query,
max_results=max_results,
region='wt-wt', # Worldwide results
safesearch='on'
))
if not search_results:
return "No results found. Try modifying your search query."
# Format the results into a readable string
formatted_results = []
for idx, result in enumerate(search_results, 1):
# Extract available fields with fallbacks for missing data
title = result.get('title', 'No title available')
snippet = result.get('body', result.get('snippet', 'No description available'))
source = result.get('source', 'Unknown source')
url = result.get('url', result.get('link', 'No link available'))
date = result.get('date', 'Date not available')
# Format each result with available information
formatted_results.append(
f"{idx}. Title: {title}\n"
f" Date: {date}\n"
f" Source: {source}\n"
f" Summary: {snippet}\n"
f" URL: {url}\n"
)
return "\n".join(formatted_results)
except Exception as e:
# Provide detailed error information for debugging
error_msg = f"Search error: {str(e)}\nTry again with a different search term or check your internet connection."
print(f"DuckDuckGo search error: {str(e)}") # For logging
return error_msg
class GroqLLM:
"""
LLM interface using Groq's LLama model.
Handles API communication and response processing.
"""
def __init__(self, model_name="llama-3.1-8B-Instant"):
self.client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
self.model_name = model_name
def __call__(self, prompt: Union[str, dict, List[Dict]]) -> str:
try:
# Convert prompt to string if it's a complex structure
prompt_str = str(prompt) if isinstance(prompt, (dict, list)) else prompt
# Make API call to Groq
completion = self.client.chat.completions.create(
model=self.model_name,
messages=[{
"role": "user",
"content": prompt_str
}],
temperature=0.7,
max_tokens=1024,
stream=False
)
return completion.choices[0].message.content if completion.choices else "Error: No response generated"
except Exception as e:
error_msg = f"Error generating response: {str(e)}"
print(error_msg) # For logging
return error_msg
def create_analysis_prompt(topic: str, search_results: str) -> str:
"""
Creates a detailed prompt for news analysis, structuring the request
to get comprehensive and well-organized results from the LLM.
"""
return f"""Analyze the following news information about {topic}.
Search Results: {search_results}
Please provide a comprehensive analysis including:
1. Key Points Summary:
- Main events and developments
- Critical updates and changes
2. Stakeholder Analysis:
- Primary parties involved
- Their roles and positions
3. Impact Assessment:
- Immediate implications
- Potential long-term effects
- Broader context and significance
4. Multiple Perspectives:
- Different viewpoints on the issue
- Areas of agreement and contention
5. Fact Check & Reliability:
- Verification of major claims
- Consistency across sources
- Source credibility assessment
Please format the analysis in a clear, journalistic style with section headers."""
def log_agent_activity(prompt: str, result: str, agent_name: str):
"""
Creates an expandable log of agent activities in the Streamlit interface
for transparency and debugging purposes.
"""
with st.expander("π View Agent Activity Log"):
st.markdown("<h4>Agent Activity Log</h4>", unsafe_allow_html=True)
st.markdown(f"<p><strong>Agent:</strong> {agent_name}</p>", unsafe_allow_html=True)
st.markdown("<div style='background-color: #f8f9fa; padding: 1rem; border-radius: 8px; margin-bottom: 1rem;'>", unsafe_allow_html=True)
st.markdown("<p><strong>Input Prompt:</strong></p>", unsafe_allow_html=True)
st.code(prompt, language="text")
st.markdown("</div>", unsafe_allow_html=True)
st.markdown("<div style='background-color: #f8f9fa; padding: 1rem; border-radius: 8px;'>", unsafe_allow_html=True)
st.markdown("<p><strong>Analysis Output:</strong></p>", unsafe_allow_html=True)
st.code(result, language="text")
st.markdown("</div>", unsafe_allow_html=True)
# Animated header with branded logo and description
st.markdown("""
<div class="card" style="padding-bottom: 1.5rem;">
<div style="display: flex; align-items: center; gap: 1.5rem;">
<div class="float-icon" style="text-align: center;">
<svg width="70" height="70" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M19.5 9.5l-7.5-7.5-7.5 7.5m15 0v8c0 1.1-.9 2-2 2h-11c-1.1 0-2-.9-2-2v-8" stroke="#1a73e8" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
<circle cx="12" cy="12" r="3" stroke="#1a73e8" stroke-width="2"/>
<path d="M12 15v3" stroke="#1a73e8" stroke-width="2" stroke-linecap="round"/>
</svg>
</div>
<div style="flex: 1;">
<span class="logo-text">Z-Agent News Analysis</span>
<p style="color: #5f6368; font-size: 1.1rem; margin-top: 0.5rem;">
Intelligent news analysis powered by AI. Get comprehensive insights and multiple perspectives on any topic.
</p>
</div>
</div>
</div>
""", unsafe_allow_html=True)
# Main content area
st.markdown('<div class="card">', unsafe_allow_html=True)
# Initialize the components
try:
# Initialize LLM and search tool
llm = GroqLLM()
search_tool = DuckDuckGoSearch()
# Input section with enhanced design
st.markdown("<h2 style='margin-top: 0;'>News Topic Analysis</h2>", unsafe_allow_html=True)
news_topic = st.text_input(
"What news topic would you like to analyze?",
placeholder="E.g., Recent developments in renewable energy, Tech industry layoffs, Global climate agreements...",
key="news_topic_input"
)
# Analysis options in a cleaner layout
st.markdown("<div style='margin-top: 1.5rem;'></div>", unsafe_allow_html=True)
st.markdown("<h3 style='margin-bottom: 1rem;'>Analysis Options</h3>", unsafe_allow_html=True)
col1, col2, col3 = st.columns([2, 2, 2])
with col1:
st.markdown("<div style='background-color: #f8f9fa; padding: 1rem; border-radius: 12px; height: 100%;'>", unsafe_allow_html=True)
st.markdown("<p style='font-weight: 600; color: #202124; margin-bottom: 0.5rem;'>Search Depth</p>", unsafe_allow_html=True)
search_depth = st.slider(
"##",
min_value=3,
max_value=10,
value=5,
help="Number of news sources to analyze",
key="search_depth_slider",
label_visibility="collapsed"
)
st.markdown("<p style='color: #5f6368; font-size: 0.9rem;'>Number of sources: " + str(search_depth) + "</p>", unsafe_allow_html=True)
st.markdown("</div>", unsafe_allow_html=True)
with col2:
st.markdown("<div style='background-color: #f8f9fa; padding: 1rem; border-radius: 12px; height: 100%;'>", unsafe_allow_html=True)
st.markdown("<p style='font-weight: 600; color: #202124; margin-bottom: 0.5rem;'>Analysis Type</p>", unsafe_allow_html=True)
analysis_type = st.selectbox(
"##",
["Comprehensive", "Quick Summary", "Technical", "Simplified"],
help="Choose the style and depth of analysis",
key="analysis_type_select",
label_visibility="collapsed"
)
st.markdown("<p style='color: #5f6368; font-size: 0.9rem;'>Selected: " + analysis_type + "</p>", unsafe_allow_html=True)
st.markdown("</div>", unsafe_allow_html=True)
with col3:
st.markdown("<div style='background-color: #f8f9fa; padding: 1rem; border-radius: 12px; height: 100%;'>", unsafe_allow_html=True)
st.markdown("<p style='font-weight: 600; color: #202124; margin-bottom: 0.5rem;'>Time Period</p>", unsafe_allow_html=True)
time_period = st.selectbox(
"##",
["Last 7 days", "Last 30 days", "Last 24 hours"],
help="How recent should the news be",
key="time_period_select",
label_visibility="collapsed"
)
st.markdown("<p style='color: #5f6368; font-size: 0.9rem;'>Selected: " + time_period + "</p>", unsafe_allow_html=True)
st.markdown("</div>", unsafe_allow_html=True)
# Generate analysis button
st.markdown("<div style='margin-top: 2rem;'></div>", unsafe_allow_html=True)
col1, col2, col3 = st.columns([2, 2, 2])
with col2:
analyze_button = st.button("ANALYZE NEWS")
st.markdown('</div>', unsafe_allow_html=True)
# Results section
if analyze_button and news_topic:
with st.spinner(""):
try:
# Progress indicators with enhanced styling
progress_container = st.container()
progress_container.markdown('<div class="info-box">', unsafe_allow_html=True)
progress_placeholder = progress_container.empty()
progress_placeholder.markdown("""
<div class="pulsing">
<div class="status-badge status-searching">
<svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
<circle cx="11" cy="11" r="8"></circle>
<line x1="21" y1="21" x2="16.65" y2="16.65"></line>
</svg>
<span>Searching for recent news sources...</span>
</div>
</div>
""", unsafe_allow_html=True)
# Determine time frame from selection
time_map = {
"Last 24 hours": "24h",
"Last 7 days": "7d",
"Last 30 days": "30d"
}
time_frame = time_map.get(time_period, "7d")
# Perform search
search_results = search_tool(
f"Latest news about {news_topic} {time_frame}",
max_results=search_depth
)
if not search_results.startswith(("Search error", "No results")):
# Update progress
progress_placeholder.markdown("""
<div class="pulsing">
<div class="status-badge status-analyzing">
<svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
<path d="M12 3v3m0 12v3m-9-9H3m3-6l2 2M3 12h3m12 0h3m-3-6l-2 2m9 3h-3m-6 6l-2 2m12 0l-2-2"></path>
</svg>
<span>Analyzing search results and generating insights...</span>
</div>
</div>
""", unsafe_allow_html=True)
# Create analysis prompt
analysis_prompt = create_analysis_prompt(news_topic, search_results)
# Get analysis from LLM
analysis_result = llm(analysis_prompt)
# Clear progress messages
progress_container.empty()
# Display results in tabs for better organization
st.markdown('<div class="card">', unsafe_allow_html=True)
st.markdown(f'<h2>Analysis: {news_topic}</h2>', unsafe_allow_html=True)
tab1, tab2 = st.tabs(["π Analysis", "π° Sources"])
with tab1:
st.markdown('<div class="analysis-result">', unsafe_allow_html=True)
st.markdown(analysis_result)
st.markdown('</div>', unsafe_allow_html=True)
with tab2:
st.markdown("<h3>News Sources Used in Analysis</h3>", unsafe_allow_html=True)
# Parse and display sources in a more structured way
sources = search_results.split("\n\n")
for source in sources:
lines = source.strip().split("\n")
if len(lines) >= 5: # Ensure we have enough lines
title_line = lines[0].replace("1. Title: ", "").replace("2. Title: ", "").replace("3. Title: ", "").replace("4. Title: ", "").replace("5. Title: ", "")
date_line = lines[1].replace(" Date: ", "")
source_line = lines[2].replace(" Source: ", "")
url_line = lines[4].replace(" URL: ", "")
st.markdown(f"""
<div class="source-item">
<p class="source-title">{title_line}</p>
<div class="source-meta">
<span>{source_line}</span>
<span class="source-meta-dot"></span>
<span>{date_line}</span>
</div>
<a href="{url_line}" class="read-link" target="_blank">
Read original article
<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
<path d="M18 13v6a2 2 0 01-2 2H5a2 2 0 01-2-2V8a2 2 0 012-2h6"></path>
<path d="M15 3h6v6"></path>
<path d="M10 14L21 3"></path>
</svg>
</a>
</div>
""", unsafe_allow_html=True)
st.markdown('</div>', unsafe_allow_html=True)
# Log the activity
log_agent_activity(
analysis_prompt,
analysis_result,
"News Analysis Agent"
)
else:
progress_container.empty()
st.error(f"""
<div style="display: flex; align-items: center; gap: 12px;">
<svg width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="#FF5252" stroke-width="2">
<circle cx="12" cy="12" r="10"></circle>
<line x1="12" y1="8" x2="12" y2="12"></line>
<line x1="12" y1="16" x2="12.01" y2="16"></line>
</svg>
<span>{search_results}</span>
</div>
""", unsafe_allow_html=True)
except Exception as e:
st.error(f"""
<div style="display: flex; align-items: center; gap: 12px;">
<svg width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="#FF5252" stroke-width="2">
<circle cx="12" cy="12" r="10"></circle>
<line x1="12" y1="8" x2="12" y2="12"></line>
<line x1="12" y1="16" x2="12.01" y2="16"></line>
</svg>
<span>An error occurred during analysis: {str(e)}</span>
</div>
""", unsafe_allow_html=True)
elif analyze_button:
# This handles the case when analyze button is clicked but no topic is entered
st.warning("""
<div style="display: flex; align-items: center; gap: 12px;">
<svg width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="#FFA726" stroke-width="2">
<path d="M10.29 3.86L1.82 18a2 2 0 001.71 3h16.94a2 2 0 001.71-3L13.71 3.86a2 2 0 00-3.42 0z"></path>
<line x1="12" y1="9" x2="12" y2="13"></line>
<line x1="12" y1="17" x2="12.01" y2="17"></line>
</svg>
<span>Please enter a news topic to analyze.</span>
</div>
""", unsafe_allow_html=True)
# Tips and usage guidance section - displayed when no analysis is in progress
if not analyze_button or not news_topic:
st.markdown('<div class="card">', unsafe_allow_html=True)
st.markdown("<h2 style='margin-top: 0;'>Tips for Better Results</h2>", unsafe_allow_html=True)
st.markdown("""
<div class="tip-item">
<div class="tip-icon">π‘</div>
<div class="tip-text">
<strong>Be specific with your topic.</strong> Instead of "climate change", try "recent climate legislation in the EU".
</div>
</div>
<div class="tip-item">
<div class="tip-icon">π</div>
<div class="tip-text">
<strong>Adjust search depth</strong> to find the right balance between comprehensive coverage and analysis speed.
</div>
</div>
<div class="tip-item">
<div class="tip-icon">π</div>
<div class="tip-text">
<strong>Choose the right analysis type</strong> based on your needs:
<ul>
<li><strong>Comprehensive:</strong> Full analysis with multiple perspectives</li>
<li><strong>Quick Summary:</strong> Brief overview of key points</li>
<li><strong>Technical:</strong> Detailed analysis with industry-specific terminology</li>
<li><strong>Simplified:</strong> Easy-to-understand breakdown of complex topics</li>
</ul>
</div>
</div>
<div class="tip-item">
<div class="tip-icon">β±οΈ</div>
<div class="tip-text">
<strong>Select an appropriate time period</strong> based on how recent you want the news to be.
</div>
</div>
""", unsafe_allow_html=True)
st.markdown('</div>', unsafe_allow_html=True)
# Example topics for quick selection
st.markdown('<div class="card">', unsafe_allow_html=True)
st.markdown("<h2 style='margin-top: 0;'>Try These Topics</h2>", unsafe_allow_html=True)
col1, col2, col3 = st.columns(3)
with col1:
if st.button("π Climate Change Policies"):
st.session_state.news_topic_input = "Recent climate change policies and agreements"
st.experimental_rerun()
with col2:
if st.button("π° Cryptocurrency Trends"):
st.session_state.news_topic_input = "Latest developments in cryptocurrency markets"
st.experimental_rerun()
with col3:
if st.button("π¬ AI Research Breakthroughs"):
st.session_state.news_topic_input = "Recent breakthroughs in artificial intelligence research"
st.experimental_rerun()
st.markdown('</div>', unsafe_allow_html=True)
# Footer with attribution and version info
st.markdown("""
<footer>
<div style="display: flex; justify-content: space-between; align-items: center;">
<div>Z-Agent News Analysis v1.0.1</div>
<div></div>
</div>
</footer>
""", unsafe_allow_html=True)
except Exception as e:
# Global error handling to catch any unforeseen issues
st.error(f"""
<div style="display: flex; align-items: center; gap: 12px;">
<svg width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="#FF5252" stroke-width="2">
<circle cx="12" cy="12" r="10"></circle>
<line x1="12" y1="8" x2="12" y2="12"></line>
<line x1="12" y1="16" x2="12.01" y2="16"></line>
</svg>
<span>Application Error: {str(e)}</span>
</div>
""", unsafe_allow_html=True)
st.markdown("""
<div style="background-color: #F8F9FA; padding: 1rem; border-radius: 8px; margin-top: 1rem;">
<p><strong>Troubleshooting Tips:</strong></p>
<ul>
<li>Check your API keys for Groq LLM in environment variables</li>
<li>Ensure you have internet connection for DuckDuckGo searches</li>
<li>Try refreshing the page or restarting the application</li>
</ul>
</div>
""", unsafe_allow_html=True)
# Add a hidden feature to reset the application state
if st.sidebar.button("Reset Application", key="reset_app"):
for key in st.session_state.keys():
del st.session_state[key]
st.experimental_rerun()
# Optional: Add a feedback mechanism
with st.sidebar:
st.markdown("### Feedback")
feedback = st.text_area("Share your thoughts or report issues", placeholder="Your feedback helps us improve...")
if st.button("Submit Feedback"):
st.success("Thank you for your feedback!")
# In a production app, you would save this feedback to a database |