Create App.py

App.py

@@ -0,0 +1,133 @@
+import streamlit as st
+from PIL import Image
+from bs4 import BeautifulSoup as soup
+from urllib.request import urlopen
+from newspaper import Article
+import io
+import nltk
+nltk.download('punkt')
+
+st.set_page_config(page_title='NewsAgora🇧🇷: Um Portal de Notícias Resumidas📰', page_icon='./Meta/newspaper.ico')
+
+
+def fetch_news_search_topic(topic):
+    site = 'https://news.google.com/rss?hl=pt-BR&gl=BR&ceid=BR:pt'.format(topic) 
+    op = urlopen(site)  # Open that site
+    rd = op.read()  # read data from site
+    op.close()  # close the object
+    sp_page = soup(rd, 'xml')  # scrapping data from site
+    news_list = sp_page.find_all('item')  # finding news
+    return news_list
+
+
+def fetch_top_news():
+    site = 'https://news.google.com/rss?hl=pt-BR&gl=BR&ceid=BR:pt'
+    op = urlopen(site)  # Open that site
+    rd = op.read()  # read data from site
+    op.close()  # close the object
+    sp_page = soup(rd, 'xml')  # scrapping data from site
+    news_list = sp_page.find_all('item')  # finding news
+    return news_list
+
+
+def fetch_category_news(topic):
+    site = 'https://news.google.com/news/rss/headlines/section/topic/{}?hl=pt-BR&gl=BR&ceid=BR:pt'.format(topic)
+    op = urlopen(site)  # Open that site
+    rd = op.read()  # read data from site
+    op.close()  # close the object
+    sp_page = soup(rd, 'xml')  # scrapping data from site
+    news_list = sp_page.find_all('item')  # finding news
+    return news_list
+
+
+def fetch_news_poster(poster_link):
+    try:
+        u = urlopen(poster_link)
+        raw_data = u.read()
+        image = Image.open(io.BytesIO(raw_data))
+        st.image(image, use_column_width=True)
+    except:
+        image = Image.open('./Meta/no_image.jpg')
+        st.image(image, use_column_width=True)
+
+
+def display_news(list_of_news, news_quantity):
+    c = 0
+    for news in list_of_news:
+        c += 1
+        # st.markdown(f"({c})[ {news.title.text}]({news.link.text})")
+        st.write('**({}) {}**'.format(c, news.title.text))
+        news_data = Article(news.link.text)
+        try:
+            news_data.download()
+            news_data.parse()
+            news_data.nlp()
+        except Exception as e:
+            st.error(e)
+        fetch_news_poster(news_data.top_image)
+        with st.expander(news.title.text):
+            st.markdown(
+                '''<h6 style='text-align: justify;'>{}"</h6>'''.format(news_data.summary),
+                unsafe_allow_html=True)
+            st.markdown("[Read more at {}...]({})".format(news.source.text, news.link.text))
+        st.success("Published Date: " + news.pubDate.text)
+        if c >= news_quantity:
+            break
+
+
+def run():
+    st.title("NewsAgora🇧🇷: Um Portal de Notícias Resumidas📰")
+    image = Image.open('./Meta/newspaper.png')
+
+    col1, col2, col3 = st.columns([3, 5, 3])
+
+    with col1:
+        st.write("")
+
+    with col2:
+        st.image(image, use_column_width=False)
+
+    with col3:
+        st.write("")
+    category = ['--Selecione--', 'Notícias em Alta🔥', 'Tópicos Favoritos💙', 'Buscar Tópico🔍']
+    cat_op = st.selectbox('Selecione a categoria', category)
+    if cat_op == category[0]:
+        st.warning('Por favor, selecione uma opção!')
+    elif cat_op == category[1]:
+        st.subheader("✅ Aqui estão as notícias em alta para você")
+        no_of_news = st.slider('Número de notícias:', min_value=5, max_value=15, step=1)
+        news_list = fetch_top_news()
+        display_news(news_list, no_of_news)
+    elif cat_op == category[2]:
+        av_topics = ['Choose Topic', 'WORLD', 'NATION', 'BUSINESS', 'TECHNOLOGY', 'ENTERTAINMENT', 'SPORTS', 'SCIENCE',
+                     'HEALTH']
+        st.subheader("Escolha seu tópico favorito")
+        chosen_topic = st.selectbox("Escolha seu tópico favorito", av_topics)
+        if chosen_topic == av_topics[0]:
+            st.warning("Por favor, escolha um tópico")
+        else:
+            no_of_news = st.slider('Número de notícias:', min_value=5, max_value=15, step=1)
+            news_list = fetch_category_news(chosen_topic)
+            if news_list:
+                st.subheader("✅ Aqui estão algumas notícias de {} para você".format(chosen_topic))
+                display_news(news_list, no_of_news)
+            else:
+                st.error("Nenhuma notícia encontrada para {}".format(chosen_topic))
+
+    elif cat_op == category[3]:
+        user_topic = st.text_input("Digite seu tópico🔍")
+        no_of_news = st.slider('Número de notícias:', min_value=5, max_value=15, step=1)
+
+        if st.button("Search") and user_topic != '':
+            user_topic_pr = user_topic.replace(' ', '')
+            news_list = fetch_news_search_topic(topic=user_topic_pr)
+            if news_list:
+                st.subheader("✅ Aqui estão algumas notícias de {} para você".format(user_topic.capitalize()))
+                display_news(news_list, no_of_news)
+            else:
+                st.error("Nenhuma notícia encontrada para {}".format(user_topic))
+        else:
+            st.warning("Por favor, escreva o nome do tópico para pesquisar🔍")
+
+
+run()