Divyansh Kushwaha
commited on
Commit
·
8ba7699
1
Parent(s):
657a977
Streamlit app updated
Browse files
app.py
CHANGED
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@@ -1,14 +1,16 @@
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import streamlit as st
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import requests
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-
BASE_URL = "http://localhost:8000"
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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}: {article['Title']}**")
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@@ -16,6 +18,7 @@ def display_articles(articles):
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st.write(f"- **Sentiment:** {article['Sentiment']} | **Score:** {article['Score']:.2f}")
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st.write(f"- **Topics:** {', '.join(article['Topics'])}")
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def display_sentiment_distribution(sentiment_distribution):
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st.markdown("#### **Sentiment Distribution:**")
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sentiment_data = {
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@@ -24,12 +27,14 @@ def display_sentiment_distribution(sentiment_distribution):
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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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if coverage_differences:
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st.markdown("#### **Coverage Differences:**")
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for diff in coverage_differences:
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st.write(f"- **{diff['Comparison']}:** {diff['Impact']}")
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def display_topic_overlap(topic_overlap):
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st.markdown("#### **Topic Overlap:**")
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st.write(f"- **Common Topics:** {', '.join(topic_overlap['Common Topics'])}")
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@@ -37,6 +42,7 @@ def display_topic_overlap(topic_overlap):
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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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if st.button("Generate Summary"):
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if company_name:
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try:
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@@ -45,29 +51,28 @@ if st.button("Generate Summary"):
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if response.status_code == 200:
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data = response.json()
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-
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st.markdown(f"#### **Company: {data.get('Company', 'Unknown')}**")
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-
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#
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st.markdown("#### **Articles:**")
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display_articles(data.get("Articles", []))
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-
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#
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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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-
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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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-
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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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-
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#
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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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-
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#
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st.markdown("#### **Hindi Summary Audio:**")
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st.write(data.get("Audio", "No Audio available"))
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audio_url = f"{BASE_URL}/downloadHindiAudio"
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@@ -76,15 +81,14 @@ if st.button("Generate Summary"):
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st.audio(audio_response.content, format="audio/mp3")
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else:
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st.error("Failed to load audio.")
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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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-
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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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@@ -101,6 +105,7 @@ if st.button("Download JSON File"):
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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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import streamlit as st
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import requests
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+
BASE_URL = "http://localhost:8000" # Base URL for API requests
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st.title("Company Sentiment Analysis")
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# Input field for company name
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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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# Function to display articles with sentiment analysis
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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}: {article['Title']}**")
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st.write(f"- **Sentiment:** {article['Sentiment']} | **Score:** {article['Score']:.2f}")
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st.write(f"- **Topics:** {', '.join(article['Topics'])}")
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# Function to display sentiment distribution in table format
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def display_sentiment_distribution(sentiment_distribution):
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st.markdown("#### **Sentiment Distribution:**")
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sentiment_data = {
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}
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st.table(sentiment_data)
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# Function to display coverage differences between articles
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def display_coverage_differences(coverage_differences):
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if coverage_differences:
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st.markdown("#### **Coverage Differences:**")
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for diff in coverage_differences:
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st.write(f"- **{diff['Comparison']}:** {diff['Impact']}")
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# Function to display topic overlap analysis
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def display_topic_overlap(topic_overlap):
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st.markdown("#### **Topic Overlap:**")
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st.write(f"- **Common Topics:** {', '.join(topic_overlap['Common Topics'])}")
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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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# Button to generate summary based on company name
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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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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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# Display articles with sentiment analysis
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st.markdown("#### **Articles:**")
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display_articles(data.get("Articles", []))
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# Display sentiment analysis details
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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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# Display final sentiment analysis result
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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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# Display and play Hindi summary audio
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st.markdown("#### **Hindi Summary Audio:**")
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st.write(data.get("Audio", "No Audio available"))
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audio_url = f"{BASE_URL}/downloadHindiAudio"
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st.audio(audio_response.content, format="audio/mp3")
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else:
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st.error("Failed to load audio.")
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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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# Button to download the final summary in JSON format
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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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except Exception as e:
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st.error(f"An error occurred: {e}")
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# Button to download Hindi summary audio file
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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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