Update app.py

app.py

@@ -2,11 +2,9 @@ import streamlit as st
 from transformers import pipeline
 
 # Summarization
-def summarization(image_path):
-    with open(image_path, "rb") as image_file:
-        bytes_data = image_file.read()
+def summarization(text):
     image_to_text_model = pipeline("text-generation", model="ainize/bart-base-cnn")
-    summary = image_to_text_model(bytes_data, max_length=100, do_sample=False)[0]["generated_text"]
+    summary = image_to_text_model(text, max_length=100, do_sample=False)[0]["generated_text"]
     return summary
 
 # Sentiment Classification