Create app.py

app.py

@@ -0,0 +1,75 @@
+import streamlit as str 
+from PyPDF2 import PdfReader
+
+from transformers import pipeline
+
+summarizer = pipeline(task="summarization")
+
+str.set_page_config(
+    page_title='Text Summarizer'
+)
+
+str.title('Text Summarization')
+
+def summarize_text(text):
+    summary = summarizer(text)
+    summary = summary[0]['summary_text']
+    return summary
+
+input = str.text_area('Enter long text')
+
+output = summarize_text(input)
+
+
+if str.button('Summarize text'):
+    str.markdown(f'''
+            <div style="background-color: black; color: white; font-weight: bold; padding: 1rem; border-radius: 10px;">
+            <h4>Results</h4>
+                <p>
+                    {output}
+                </p>
+            </div>
+                ''', unsafe_allow_html=True)
+    str.success('Done')
+    
+    
+#####
+
+# PDF summary section
+str.subheader('PDF summary')
+
+try:
+    uploaded_pdf = str.file_uploader('Choose a pdf file', type=['pdf'])
+
+    if uploaded_pdf is not None:
+        str.success('Succesfully uploaded')
+        
+    def extract_text(pdf_file):
+        pdf_content = PdfReader(pdf_file)
+        pages =  pdf_content.pages
+        # page_count = len(pages)
+        page_text = pages[17].extract_text()
+
+        return page_text
+
+
+    pdf_input = extract_text(uploaded_pdf)
+
+    pdf_output = summarize_text(pdf_input)
+
+except:
+    str.error('Please select a valid file')  
+
+
+
+
+if str.button('Summarize pdf page'):
+    str.markdown(f'''
+            <div style="background-color: black; color: white; font-weight: bold; padding: 1rem; border-radius: 10px;">
+            <h4>Results</h4>
+                <p>
+                    {pdf_output}
+                </p>
+            </div>
+                ''', unsafe_allow_html=True)
+    str.success('PDF page summarized :)', icon="✅")