Update app.py

app.py

@@ -4,7 +4,7 @@ from transformers import pipeline
 
 
 pipe_sent = pipeline("text-classification", model="ProsusAI/finbert")
-pipe_trans = pipeline("translation", model="Helsinki-NLP/opus-mt-mul-en")
+pipe_tran = pipeline("translation", model="Helsinki-NLP/opus-mt-mul-en")
 
 # Streamlit application title
 st.title("FinSentinel-Portuguese Financial Sentiment Analysis")
@@ -16,7 +16,8 @@ text = st.text_area("Enter the text to classify", "")
 # Perform text classification when the user clicks the "Classify" button
 if st.button("Classify"):
     # Perform text classification on the input text
-    results = pipe_sent(pipe_trans(text))[0]
+    translated_text = pipe_trans(text_input)[0]['translation_text']
+    results = pipe_sent(translated_text)[0]
 
     # Display the classification result
     max_score = float('-inf')