Spaces:
Sleeping
Sleeping
| import streamlit as st | |
| from news import fetch_news | |
| from utils import get_sentiment, extract_keywords, text_to_speech, comparison_impact, summarize_text | |
| from deep_translator import GoogleTranslator | |
| # Streamlit App Title | |
| st.title("📢 News Sentiment & Keyword Analyzer with Hindi Speech & Comparison") | |
| # User Input for Company Name | |
| company_name = st.text_input("Enter Company Name:",placeholder="Google Tesla Apple etc") | |
| if st.button("Fetch News & Analyze"): | |
| st.write(f"Fetching latest news about **{company_name}**...") | |
| # Fetch News Articles | |
| news_data = fetch_news(company=company_name, limit=10) | |
| if news_data: | |
| sentiment_results = [] # Store Sentiment Results | |
| summarized_text = "" # Combined summary for TTS | |
| previous_article = None # Store the previous article for comparison | |
| for article in news_data: | |
| title = article["title"] | |
| snippet = article["snippet"] | |
| link = article["link"] | |
| # Summarize title + snippet | |
| summary = summarize_text(title + " " + snippet) | |
| # Analyze Sentiment | |
| sentiment = get_sentiment(summary) | |
| # Extract Keywords | |
| keywords = extract_keywords(summary) | |
| keywords_display = ", ".join(keywords) if isinstance(keywords, list) else "No keywords extracted" | |
| # Display Summarized Article with Sentiment and Keywords | |
| st.subheader(title) | |
| st.write(f"📰 **Summary:** {summary}") | |
| st.write(f"🔗 [Read More]({link})") | |
| st.write(f"🧠 **Sentiment:** {sentiment}") | |
| st.write(f"🔑 **Keywords:** {keywords_display}") | |
| # Compare with previous article | |
| if previous_article: | |
| comparison_result = comparison_impact(previous_article, summary) | |
| st.write("📊 **Comparison Impact with Previous Article:**") | |
| st.write(comparison_result["Impact Analysis"]) | |
| # Store current summary as previous for next iteration | |
| previous_article = summary | |
| sentiment_results.append((title, sentiment)) | |
| summarized_text += summary + " " # Append for TTS | |
| # Translate Summary to Hindi | |
| translated_summary = GoogleTranslator(source="en", target="hi").translate(summarized_text) | |
| # Automatically Generate and Play Hindi Speech | |
| st.write("🔊 **Generating Hindi Audio...**") | |
| text_to_speech(translated_summary) | |
| # Display Audio Output | |
| st.audio("output.wav", format="audio/wav") | |
| else: | |
| st.error("❌ No news articles found! Try another company.") | |