Upload 2 files

app.py

@@ -1,7 +1,7 @@
 import streamlit as st
 import datetime
 import pandas as pd
-from pygooglenews import GoogleNews
+from gnews import GNews
 from transformers import pipeline
 import plotly.graph_objects as go
 
@@ -11,15 +11,17 @@ pipe = pipeline("text-classification", model="pramudyalyza/bert-indonesian-finet
 # Function to process the keyword and get sentiment analysis
 def process_keyword(keyword):
     one_week_ago = datetime.datetime.now() - datetime.timedelta(days=7)
-    gn = GoogleNews(lang='id', country='ID')
-    search = gn.search(keyword)
-
+    
+    news = GNews(language='id', country='ID', max_results=100)
+    
+    search_results = news.get_news(keyword)
+    
     filtered_headlines = []
-    for entry in search['entries']:
-        published_date = datetime.datetime.strptime(entry['published'], '%a, %d %b %Y %H:%M:%S %Z')
+    for article in search_results:
+        published_date = datetime.datetime.strptime(article['published date'], '%a, %d %b %Y %H:%M:%S %Z')
         if published_date > one_week_ago:
-            filtered_headlines.append(entry['title'])
-
+            filtered_headlines.append(article['title'])
+    
     df = pd.DataFrame(filtered_headlines, columns=['title'])
     df_clean = df.drop_duplicates()
 
@@ -38,7 +40,8 @@ keyword_input = st.text_input("Enter a keyword to search for news", placeholder=
 
 if st.button("Analyze"):
     if keyword_input:
-        positive_count, negative_count, total_count, df_clean = process_keyword(keyword_input)
+        with st.spinner('Scraping and analyzing the data...'):
+            positive_count, negative_count, total_count, df_clean = process_keyword(keyword_input)
 
         # Create plots
         fig_positive = go.Figure(go.Indicator(
@@ -65,14 +68,18 @@ if st.button("Analyze"):
         ))
         fig_donut.update_layout(title_text='Sentiment Distribution')
 
-        # Display results
-        st.plotly_chart(fig_positive)
-        st.plotly_chart(fig_negative)
-        st.plotly_chart(fig_donut)
+        # Create a horizontal layout using st.columns
+        col1, col2, col3 = st.columns(3)
+
+        # Display results in each column
+        col1.plotly_chart(fig_positive, use_container_width=True)
+        col2.plotly_chart(fig_negative, use_container_width=True)
+        col3.plotly_chart(fig_donut, use_container_width=True)
+
         st.write(f"News articles found: {total_count}")
 
         # Show DataFrame
-        st.dataframe(df_clean)
+        st.dataframe(df_clean, use_container_width=True)
 
         # Download CSV
         csv = df_clean.to_csv(index=False).encode('utf-8')

requirements.txt

@@ -1,7 +1,5 @@
-setuptools==58
-pygooglenews==0.1.2
-feedparser==6.0.11
-pandas==2.2.3
-plotly==5.24.1
-streamlit==1.37.1
-transformers==4.36.2
+gnews==0.3.7
+pandas==2.2.3
+plotly==5.24.1
+streamlit==1.37.1
+transformers==4.36.2