updt

app.py

@@ -5,4 +5,25 @@ import pandas as pd
 from newsapi import NewsApiClient
 from datetime import date, timedelta
 from transformers import pipeline
+
+# Model 2: Sentence Transformer
+#API_URL = "https://api-inference.huggingface.co/models/sentence-transformers/msmarco-distilbert-base-tas-b"
+HF_TOKEN = os.environ["newsapi"]
+#headers = {"Authorization": f"Bearer {HF_TOKEN}"}
+
+classifier = pipeline(model="cardiffnlp/twitter-roberta-base-sentiment") 
+sentiment = ['Negative' if classifier(entry['content'])[0]['label'] == 'LABEL_0' else 'Neutral' if classifier(entry['content'])[0]['label'] == 'LABEL_1' else 'Positive' for entry in all_articles['articles']]
+# Initialization
+newsapi = NewsApiClient(api_key=HF_TOKEN)
+
+# /v2/everything
+all_articles = newsapi.get_everything(#q='bitcoin',
+                                      sources='the-times-of-india',
+                                      domains='timesofindia.indiatimes.com',
+                                      from_param='2022-10-30',
+                                      to='2022-10-30',
+                                      language='en',
+                                      sort_by='relevancy',)
+                                      #page=2)
+all_articles['articles']