Update app.py

app.py

@@ -1,48 +1,28 @@
 import streamlit as st
 from transformers import pipeline
-import requests
-import os
+from pygooglenews import GoogleNews
 
 # Initialize a text generation pipeline
 generator = pipeline('text-generation', model='dbmdz/german-gpt2')
 
-api_key = os.environ['NEWS_API_KEY']
-
-def fetch_trending_news(topic, api_key, max_items=5):
-    base_url = "https://newsapi.org/v2/everything"
-    params = {
-        "q": topic,
-        "apiKey": api_key,
-        "language": "en",
-        "sortBy": "relevancy",
-        "pageSize": max_items
-    }
+# Function to fetch top stories related to a specific topic
+def fetch_top_stories(topic, language='de', country='GER'):
+    gn = GoogleNews(lang=language, country=country)
+    search_results = gn.search(topic)
     
-    try:
-        response = requests.get(base_url, params=params)
-        response.raise_for_status()
-        news_data = response.json()
-        articles = news_data.get("articles", [])
-        
-        formatted_articles = []
-        for article in articles:
-            formatted_article = {
-                "title": article["title"],
-                "source": article["source"]["name"],
-                "publishedAt": article["publishedAt"],
-                "url": article["url"]
-            }
-            formatted_articles.append(formatted_article)
-        
-        return formatted_articles
-    except requests.RequestException as e:
-        st.error(f"Error fetching news data: {e}")
-        return []
+    top_stories = []
+    for story in search_results['entries']:
+        story_data = {
+            'title': story.title,
+            'link': story.link,
+            'published': story.published
+        }
+        top_stories.append(story_data)
+    
+    return top_stories
 
-# Define the pages
+# Define the page for trending niche news
 def page_trending_niche():
-    api_key = "YOUR_API_KEY_HERE"  # Securely fetch your API key
-    
     col1, col2 = st.columns([3, 1])
     with col1:
         st.title("What is trending in my niche?")
@@ -51,16 +31,12 @@ def page_trending_niche():
     
     niche = st.text_input('Enter your niche', 'German clinics')
     if niche:
-        news_items = fetch_trending_news(niche, api_key)
-        if news_items:
-            for item in news_items:
-                st.write(f"**Title:** {item['title']}")
-                st.write(f"**Source:** {item['source']}")
-                st.write(f"**Published At:** {item['publishedAt']}")
-                st.write(f"**URL:** [Read more]({item['url']})")
-                st.write("---")
-
-
+        news_items = fetch_top_stories(niche)
+        for item in news_items:
+            st.write(f"**Title:** {item['title']}")
+            st.write(f"**Link:** [Read more]({item['link']})")
+            st.write(f"**Published:** {item['published']}")
+            st.write("---")