Update app.py

app.py

@@ -2,42 +2,48 @@ import streamlit as st
 import pandas as pd
 from transformers import pipeline
 
-# Initialize the translation and summarization pipelines
+# Load translation and summarization pipelines
 translator = pipeline("translation_ru_to_en", model="Helsinki-NLP/opus-mt-ru-en")
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+# Function to translate and summarize text
+
 
 
-summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 
-# Load your CSV file
-@st.cache
-def load_data(filepath):
-    return pd.read_csv(filepath)
 
-# Translate and summarize text
 def translate_and_summarize(text):
-    try:
-        # Translate the text
-        translated_text = translator(text)[0]['translation_text']
-        # Summarize the translated text
-        summary = summarizer(translated_text, max_length=140, min_length=110, do_sample=False)[0]['summary_text']
-        return summary
-    except Exception as e:
-        return f"Error in processing: {str(e)}"
+    translated_text = translator(text)[0]['translation_text']
+    summary = summarizer(translated_text, max_length=140, min_length=110, do_sample=False)[0]['summary_text']
+    return summary
+
+
+
+
+
 
 # Streamlit interface
 def main():
-    st.title('Text Summarization Tool')
-    file_path = st.text_input('Enter the path to your CSV file:', '')
+    st.title("CSV Translator and Summarizer")
+
+    # File uploader
+    uploaded_file = st.file_uploader("Choose a CSV file", type="csv")
+    if uploaded_file is not None:
+        # Read data
+        data = pd.read_csv(uploaded_file)
+
+        # Check if 'Description' column exists
 
-    if file_path:
-        data = load_data(file_path)
         if 'Description' in data.columns:
-            st.write("Summaries:")
-            # Create a new column for summaries
+            # Apply translation and summarization
+
             data['Summary'] = data['Description'].apply(translate_and_summarize)
-            st.table(data[['ID', 'Title', 'Summary']])
+
+            # Display data in a table
+            st.write(data[['ID', 'Title', 'Summary']])
+
         else:
-            st.error("The CSV file does not have a 'Description' column.")
+            st.error("Uploaded CSV does not contain 'Description' column.")
 
 if __name__ == "__main__":
     main()