Update app.py

app.py

@@ -15,11 +15,8 @@ def tras_sum(input):
   return traslated_summary
     
 # Load the summarization & translation model pipeline
-#tran_sum_pipe = pipeline("translation", model='utrobinmv/t5_summary_en_ru_zh_base_2048')
-#trans_pipe = pipeline("translation", model='liam168/trans-opus-mt-zh-en')
 sentiment_pipeline = pipeline("text-classification", model='Howosn/Sentiment_Model',return_all_scores=True)
 
-
 # Streamlit application title
 st.title("Emotion analysis")
 st.write("Turn Your Input Into Sentiment Score")
@@ -42,6 +39,6 @@ if st.button("Analyse"):
             max_score = result['score']
             max_label = result['label']
 
-    st.write("Text:", text)
+    st.write("Text:", trans)
     st.write("Label:", max_label)
     st.write("Score:", max_score)