Update src/streamlit_app.py

src/streamlit_app.py

@@ -19,7 +19,7 @@ def uploaded_file(filename):
 
 # Load model and tokenizer once
 tokenizer = BertTokenizer.from_pretrained("bert-base-multilingual-cased")
-model_path = "./emotion_final_model"
+model_path = "./src/emotion_final_model"
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model = BertForSequenceClassification.from_pretrained(model_path).to(device)
 model.eval()
@@ -103,7 +103,7 @@ def analyze():
             aspect_summary[aspect]["total"] += 1
 
     # Generate WordCloud
-    wordcloud = WordCloud(width=800, height=400, background_color='white', font_path='urdu_font.ttf').generate(all_text)
+    wordcloud = WordCloud(width=800, height=400, background_color='white', font_path='src/urdu_font.ttf').generate(all_text)
 
     # Save in uploads folder
     if not os.path.exists("uploads"):