Update app.py

app.py

@@ -3,7 +3,7 @@ from transformers import pipeline
 
 # Load the summarization & translation model pipeline
 tran_sum_pipe = pipeline("translation", model='utrobinmv/t5_summary_en_ru_zh_base_2048')
-sentiment_pipeline = pipeline("text-classification", model="Howosn/Sentiment_Model")
+#sentiment_pipeline = pipeline("text-classification", model="Howosn/Sentiment_Model")
 
 # Streamlit application title
 st.title("Emotion analysis")
@@ -16,8 +16,8 @@ text = st.text_area("Enter the text", "")
 if st.button("Analyse"):
     # Perform text classification on the input text
     trans_sum = tran_sum_pipe(text)
-    result = sentiment_pipeline(trans_sum)
+    #result = sentiment_pipeline(trans_sum)
     
     # Display the analysis result
     st.write("Text:", text)
-    st.write("result:", result)
+    st.write("result:", trans_sum)