app updated

app.py

@@ -5,19 +5,6 @@ import numpy as np
 from scipy.special import softmax
 
 
-# Define the function for sentiment analysis
-
-
-
-
-# # Setting the page configurations
-# st.set_page_config(
-#     page_title="Sentiment Analysis App",
-#     page_icon=":smile:",
-#     layout="wide",
-#     initial_sidebar_state="auto",
-# )
-
 # Add description and title
 st.write("""
 # Sentiment Analysis App
@@ -53,15 +40,6 @@ h1 {
 unsafe_allow_html=True
 )
 
-# Show sentiment output
-# if text:
-#     sentiment, score = predict_sentiment(text)
-#     if sentiment == "Positive":
-#         st.success(f"The sentiment is {sentiment} with a score of {score*100:.2f}%!")
-#     elif sentiment == "Negative":
-#         st.error(f"The sentiment is {sentiment} with a score of {score*100:.2f}%!")
-#     else:
-#         st.warning(f"The sentiment is {sentiment} with a score of {score*100:.2f}%!")
 
 def preprocess(text):
     new_text = []
@@ -88,6 +66,4 @@ if  button:
 
     labels = ['Negative','Neutral','Positive']
     scores = {l:float(s) for (l,s) in zip(labels,scores_)}
-    # st.write("Logits: ",output.logits)
-    # y_pred = np.argmax(output.logits.detach().numpy(),axis =1)
     st.write("Prediction :",scores)