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import streamlit as st |
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import requests |
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BASE_URL = "https://jatin7237-news-app.hf.space" |
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st.title("Company Sentiment Analysis") |
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company_name = st.text_input( |
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"Enter the company name:", |
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placeholder="Example: Microsoft, Apple, Tesla" |
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) |
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def display_articles(articles): |
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for i, article in enumerate(articles, start=1): |
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st.markdown(f"#### **Article {i}**") |
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st.write(f"- **Title:** {article['Title']}") |
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st.write(f"- **Summary:** {article['Summary']}") |
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st.write(f"- **Sentiment:** {article['Sentiment']}") |
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st.write(f"- **Score:** {article['Score']:.2f}") |
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st.write(f"- **Topics:** {', '.join(article['Topics'])}") |
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st.markdown("---") |
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def display_sentiment_distribution(sentiment_distribution): |
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st.subheader("Sentiment Distribution") |
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sentiment_data = { |
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"Sentiment": list(sentiment_distribution.keys()), |
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"Count": list(sentiment_distribution.values()) |
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} |
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st.table(sentiment_data) |
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def display_coverage_differences(coverage_differences): |
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st.subheader("Coverage Differences") |
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for diff in coverage_differences: |
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st.markdown(f"- **Comparison:** {diff['Comparison']}") |
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st.markdown(f" - **Impact:** {diff['Impact']}") |
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st.markdown("---") |
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def display_topic_overlap(topic_overlap): |
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st.subheader("Topic Overlap") |
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st.write(f"- **Common Topics:** {', '.join(topic_overlap['Common Topics'])}") |
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st.write("- **Unique Topics by Article:**") |
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for article, topics in topic_overlap["Unique Topics"].items(): |
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st.write(f" - **{article}:** {', '.join(topics)}") |
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st.markdown("---") |
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if st.button("Generate Summary"): |
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if company_name: |
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try: |
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summary_url = f"{BASE_URL}/generateSummary?company_name={company_name}" |
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response = requests.post(summary_url) |
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if response.status_code == 200: |
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data = response.json() |
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st.markdown(f"### **Company: {data.get('Company', 'Unknown')}**") |
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st.markdown("### **Articles:**") |
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display_articles(data.get("Articles", [])) |
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st.markdown("### **Comparative Sentiment Score**") |
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sentiment_distribution = data.get("Comparative Sentiment Score", {}).get("Sentiment Distribution", {}) |
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display_sentiment_distribution(sentiment_distribution) |
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coverage_differences = data.get("Comparative Sentiment Score", {}).get("Coverage Differences", []) |
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display_coverage_differences(coverage_differences) |
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topic_overlap = data.get("Comparative Sentiment Score", {}).get("Topic Overlap", {}) |
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display_topic_overlap(topic_overlap) |
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st.markdown("### **Final Sentiment Analysis**") |
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st.write(data.get("Final Sentiment Analysis", "No sentiment analysis available.")) |
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st.markdown("### **Hindi Summary**") |
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st.write(data.get("Hindi Summary", "No Hindi summary available.")) |
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else: |
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st.error(f"Error: {response.status_code}, {response.text}") |
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except Exception as e: |
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st.error(f"An error occurred: {e}") |
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else: |
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st.warning("⚠️ Please enter a company name.") |
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if st.button("Download JSON File"): |
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json_url = f"{BASE_URL}/downloadJson" |
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try: |
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response = requests.get(json_url) |
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if response.status_code == 200: |
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st.download_button( |
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label="Download JSON File", |
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data=response.content, |
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file_name="final_summary.json", |
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mime="application/json", |
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) |
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else: |
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st.error(f"Error: {response.status_code}, {response.text}") |
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except Exception as e: |
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st.error(f"An error occurred: {e}") |
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if st.button("Download Hindi Audio"): |
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audio_url = f"{BASE_URL}/downloadHindiAudio" |
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try: |
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response = requests.get(audio_url) |
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if response.status_code == 200: |
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st.download_button( |
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label="Download Hindi Audio", |
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data=response.content, |
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file_name="hindi_summary.mp3", |
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mime="audio/mp3", |
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) |
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else: |
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st.error(f"Error: {response.status_code}, {response.text}") |
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except Exception as e: |
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st.error(f"An error occurred: {e}") |
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