Update app.py

app.py

@@ -1,57 +1,57 @@
-import streamlit as st
-from txtai.pipeline import Summary, Textractor
-from PyPDF2 import PdfReader
-
-st.set_page_config(layout="wide")
-
-@st.cache_resource
-def text_summary(text, maxlength=None):
-    #create summary instance
-    summary = Summary()
-    text = (text)
-    result = summary(text)
-    return result
-
-def extract_text_from_pdf(file_path):
-    # Open the PDF file using PyPDF2
-    with open(file_path, "rb") as f:
-        reader = PdfReader(f)
-        page = reader.pages[0]
-        text = page.extract_text()
-    return text
-
-choice = st.sidebar.selectbox("Select your choice", ["Summarize Text", "Summarize Document"])
-
-if choice == "Summarize Text":
-    st.subheader("Summarize Text using txtai")
-    input_text = st.text_area("Enter your text here")
-    if input_text is not None:
-        if st.button("Summarize Text"):
-            col1, col2 = st.columns([1,1])
-            with col1:
-                st.markdown("**Your Input Text**")
-                st.info(input_text)
-            with col2:
-                st.markdown("**Summary Result**")
-                result = text_summary(input_text)
-                st.success(result)
-
-elif choice == "Summarize Document":
-    st.subheader("Summarize Document using txtai")
-    input_file = st.file_uploader("Upload your document here", type=['pdf'])
-    if input_file is not None:
-        if st.button("Summarize Document"):
-            with open("doc_file.pdf", "wb") as f:
-                f.write(input_file.getbuffer())
-            col1, col2 = st.columns([1,1])
-            with col1:
-                st.info("File uploaded successfully")
-                extracted_text = extract_text_from_pdf("doc_file.pdf")
-                st.markdown("**Extracted Text is Below:**")
-                st.info(extracted_text)
-            with col2:
-                st.markdown("**Summary Result**")
-                text = extract_text_from_pdf("doc_file.pdf")
-                doc_summary = text_summary(text)
-                st.success(doc_summary)
+import streamlit as st
+from txtai.pipeline import Summary, Textractor
+from PyPDF2 import PdfReader
+
+st.set_page_config(layout="wide")
+
+@st.cache_resource
+def text_summary(text, maxlength=None):
+    #create summary instance
+    summary = Summary()
+    text = (text)
+    result = summary(text)
+    return result
+
+def extract_text_from_pdf(file_path):
+    # Open the PDF file using PyPDF2
+    with open(file_path, "rb") as f:
+        reader = PdfReader(f)
+        page = reader.pages[0]
+        text = page.extract_text()
+    return text
+
+choice = st.sidebar.selectbox("Select your choice", ["Summarize Text", "Summarize Document"])
+
+if choice == "Summarize Text":
+    st.subheader("Summarize Text")
+    input_text = st.text_area("Enter your text here")
+    if input_text is not None:
+        if st.button("Summarize Text"):
+            col1, col2 = st.columns([1,1])
+            with col1:
+                st.markdown("**Your Input Text**")
+                st.info(input_text)
+            with col2:
+                st.markdown("**Summary Result**")
+                result = text_summary(input_text)
+                st.success(result)
+
+elif choice == "Summarize Document":
+    st.subheader("Summarize Document")
+    input_file = st.file_uploader("Upload your document here", type=['pdf'])
+    if input_file is not None:
+        if st.button("Summarize Document"):
+            with open("doc_file.pdf", "wb") as f:
+                f.write(input_file.getbuffer())
+            col1, col2 = st.columns([1,1])
+            with col1:
+                st.info("File uploaded successfully")
+                extracted_text = extract_text_from_pdf("doc_file.pdf")
+                st.markdown("**Extracted Text is Below:**")
+                st.info(extracted_text)
+            with col2:
+                st.markdown("**Summary Result**")
+                text = extract_text_from_pdf("doc_file.pdf")
+                doc_summary = text_summary(text)
+                st.success(doc_summary)