hf1

app.py

@@ -148,19 +148,19 @@ elif len(uploaded_file)>0:
             
             del sentences
 
-            with st.spinner('Processing please wait...'):
-
+            with st.spinner('Performing Sentiment Analysis...'):
                 tokenizer = tokenizer_sentiment
                 model = model_sentiment
                 pipe = pipeline(model="ProsusAI/finbert") 
                 classifier = pipeline(model="ProsusAI/finbert") 
                 output = classifier(useful_sentence)
 
+            with st.spinner('Performing Emotion Analysis...'):
                 tokenizer = tokenizer_emotion
                 model = model_emotion
                 classifier = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base", top_k=1)
                 output_emotion = classifier(useful_sentence)
-                #print(output_emotion[0])
+                
 
                 df = pd.DataFrame.from_dict(output)
                 df['Sentence']= pd.Series(useful_sentence)