app.py fixed

app.py

@@ -1,6 +1,6 @@
 import streamlit as st
 from transformers import pipeline
-import run_sentiment_analysis from model.py
+import model.py
 
 st.title("Analisis de Sentimientos")
 
@@ -9,12 +9,4 @@ predictions = run_sentiment_analysis(txt)
 
 for prediction in predictions:
     st.write(prediction)
-    col1, col2 = st.columns(2)
-
-    image = Image.open(file_name)
-    col1.image(image, use_column_width=True)
-    predictions = pipeline(image)
-
-    col2.header("Probabilities")
-    for p in predictions:
-        col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")
+