Update sentiment.py

sentiment.py

@@ -51,7 +51,7 @@ model.classifier = torch.nn.Linear(768, 2)
 
 def get_sentiment(query):
     print(query)
-    filename = f"D:/projects/Recon/data/sentiment_analysis/{query}_results.pkl"
+    filename = f"data/sentiment_analysis/{query}_results.pkl"
     saved_data = load_data(filename)
    
     if saved_data:
@@ -147,7 +147,7 @@ def analyze_comments(results, query):
                               min_font_size=10).generate(all_comments_string)
      # Save the WordCloud image as a static file
         wordcloud.to_file(
-            f'D:/projects/Recon/static/images/wordcloud/{query}_cloud.png')
+            f'static/images/wordcloud/{query}_cloud.png')
     else:
         wordcloud = None
     print(f'positive:{avg_positive}')