|  | import streamlit as st | 
					
						
						|  | import requests | 
					
						
						|  |  | 
					
						
						|  | BASE_URL = "http://localhost:8000" | 
					
						
						|  | st.title("Company News Sentiment Analysis") | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | company_name = st.text_input( | 
					
						
						|  | "Enter the company name:", | 
					
						
						|  | placeholder="Example: Microsoft, Apple, Tesla" | 
					
						
						|  | ) | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | def display_articles(articles): | 
					
						
						|  | for i, article in enumerate(articles, start=1): | 
					
						
						|  | st.markdown(f"##### **Article {i}: {article['Title']}**") | 
					
						
						|  | st.write(f"- **Summary:** {article['Summary']}") | 
					
						
						|  | st.write(f"- **Sentiment:** {article['Sentiment']} | **Score:** {article['Score']:.2f}") | 
					
						
						|  | st.write(f"- **Topics:** {', '.join(article['Topics'])}") | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | def display_sentiment_distribution(sentiment_distribution): | 
					
						
						|  | st.markdown("#### **Sentiment Distribution:**") | 
					
						
						|  | sentiment_data = { | 
					
						
						|  | "Sentiment": list(sentiment_distribution.keys()), | 
					
						
						|  | "Count": list(sentiment_distribution.values()) | 
					
						
						|  | } | 
					
						
						|  | st.table(sentiment_data) | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | def display_coverage_differences(coverage_differences): | 
					
						
						|  | if coverage_differences: | 
					
						
						|  | st.markdown("#### **Coverage Differences:**") | 
					
						
						|  | for diff in coverage_differences: | 
					
						
						|  | st.write(f"- **{diff['Comparison']}:** {diff['Impact']}") | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | def display_topic_overlap(topic_overlap): | 
					
						
						|  | st.markdown("#### **Topic Overlap:**") | 
					
						
						|  | st.write(f"- **Common Topics:** {', '.join(topic_overlap['Common Topics'])}") | 
					
						
						|  | st.markdown("- **Unique Topics by Article:**") | 
					
						
						|  | for article, topics in topic_overlap["Unique Topics"].items(): | 
					
						
						|  | st.write(f"  - **{article}:** {', '.join(topics)}") | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | if st.button("Generate Summary"): | 
					
						
						|  | if company_name: | 
					
						
						|  | try: | 
					
						
						|  | summary_url = f"{BASE_URL}/generateSummary?company_name={company_name}" | 
					
						
						|  | response = requests.post(summary_url) | 
					
						
						|  |  | 
					
						
						|  | if response.status_code == 200: | 
					
						
						|  | data = response.json() | 
					
						
						|  | st.markdown(f"#### **Company: {data.get('Company', 'Unknown')}**") | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | st.markdown("#### **Articles:**") | 
					
						
						|  | display_articles(data.get("Articles", [])) | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | st.markdown("#### **Comparative Sentiment Score:**") | 
					
						
						|  | sentiment_distribution = data.get("Comparative Sentiment Score", {}).get("Sentiment Distribution", {}) | 
					
						
						|  | display_sentiment_distribution(sentiment_distribution) | 
					
						
						|  |  | 
					
						
						|  | coverage_differences = data.get("Comparative Sentiment Score", {}).get("Coverage Differences", []) | 
					
						
						|  | display_coverage_differences(coverage_differences) | 
					
						
						|  |  | 
					
						
						|  | topic_overlap = data.get("Comparative Sentiment Score", {}).get("Topic Overlap", {}) | 
					
						
						|  | display_topic_overlap(topic_overlap) | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | st.markdown("#### **Final Sentiment Analysis:**") | 
					
						
						|  | st.write(data.get("Final Sentiment Analysis", "No sentiment analysis available.")) | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | st.markdown("#### **Hindi Summary Audio:**") | 
					
						
						|  | st.write(data.get("Audio", "No Audio available")) | 
					
						
						|  | audio_url = f"{BASE_URL}/downloadHindiAudio" | 
					
						
						|  | audio_response = requests.get(audio_url) | 
					
						
						|  | if audio_response.status_code == 200: | 
					
						
						|  | st.audio(audio_response.content, format="audio/mp3") | 
					
						
						|  | else: | 
					
						
						|  | st.error("Failed to load audio.") | 
					
						
						|  | else: | 
					
						
						|  | st.error(f"Error: {response.status_code}, {response.text}") | 
					
						
						|  | except Exception as e: | 
					
						
						|  | st.error(f"An error occurred: {e}") | 
					
						
						|  | else: | 
					
						
						|  | st.warning("Please enter a company name !") | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | if st.button("Download JSON File"): | 
					
						
						|  | json_url = f"{BASE_URL}/downloadJson" | 
					
						
						|  | try: | 
					
						
						|  | response = requests.get(json_url) | 
					
						
						|  | if response.status_code == 200: | 
					
						
						|  | st.download_button( | 
					
						
						|  | label="Download JSON File", | 
					
						
						|  | data=response.content, | 
					
						
						|  | file_name="final_summary.json", | 
					
						
						|  | mime="application/json", | 
					
						
						|  | ) | 
					
						
						|  | else: | 
					
						
						|  | st.error(f"Error: {response.status_code}, {response.text}") | 
					
						
						|  | except Exception as e: | 
					
						
						|  | st.error(f"An error occurred: {e}") | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | if st.button("Download Hindi Audio"): | 
					
						
						|  | audio_url = f"{BASE_URL}/downloadHindiAudio" | 
					
						
						|  | try: | 
					
						
						|  | response = requests.get(audio_url) | 
					
						
						|  | if response.status_code == 200: | 
					
						
						|  | st.download_button( | 
					
						
						|  | label="Download Hindi Audio", | 
					
						
						|  | data=response.content, | 
					
						
						|  | file_name="hindi_summary.mp3", | 
					
						
						|  | mime="audio/mp3", | 
					
						
						|  | ) | 
					
						
						|  | else: | 
					
						
						|  | st.error(f"Error: {response.status_code}, {response.text}") | 
					
						
						|  | except Exception as e: | 
					
						
						|  | st.error(f"An error occurred: {e}") | 
					
						
						|  |  |