Update app.py

app.py

@@ -5,18 +5,23 @@ from transformers import pipeline
 # 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")
-title_generator = pipeline("text2text-generation", model="facebook/bart-large-cnn")
 
-# Function to translate, summarize, and generate title
-def translate_summarize_and_generate_title(text):
+# Function to translate and summarize text
+def translate_and_summarize(text):
     translated_text = translator(text)[0]['translation_text']
     summary = 'News Alert. ' + summarizer(translated_text, max_length=140, min_length=110, do_sample=False)[0]['summary_text']
-    title = title_generator(translated_text, max_length=10, min_length=5, do_sample=False)[0]['generated_text']
-    return summary, title
+    return summary
+
+# Function to translate and summarize first paragraph
+def translate_and_summarize_first_paragraph(text):
+    first_sentence = text.split('.')[0] + '.'
+    translated_text = translator(first_sentence)[0]['translation_text']
+    summary = summarizer(translated_text, max_length=20, min_length=5, do_sample=False)[0]['summary_text']
+    return summary
 
 # Streamlit interface
 def main():
-    st.title("CSV Translator, Summarizer, and Title Generator")
+    st.title("CSV Translator and Summarizer")
 
     # File uploader
     uploaded_file = st.file_uploader("Choose a CSV file", type="csv")
@@ -25,13 +30,14 @@ def main():
         data = pd.read_csv(uploaded_file)
         # Check if 'Description' and 'Published' columns exist
         if 'Description' in data.columns and 'Published' in data.columns:
-            # Apply translation, summarization, and title generation based on 'Published' column
-            data[['Summary', 'Generated Title']] = data.apply(
-                lambda row: translate_summarize_and_generate_title(row['Description']) if pd.isna(row['Published']) else ("", ""), axis=1, result_type='expand'
+            # Apply full translation and summarization based on 'Published' column
+            data['Full Summary'] = data.apply(
+                lambda row: translate_and_summarize(row['Description']) if pd.isna(row['Published']) else "", axis=1
             )
+            # Apply first paragraph translation and summarization
+            data['First Paragraph Summary'] = data['Description'].apply(translate_and_summarize_first_paragraph)
             # Display data in a table
-            st.write(data[['ID', 'Title', 'Generated Title', 'Summary']])
-
+            st.write(data[['ID', 'Title', 'Full Summary', 'First Paragraph Summary']])
         else:
             st.error("Uploaded CSV does not contain required 'Description' and 'Published' columns.")