Create app.py

app.py

@@ -0,0 +1,56 @@
+import streamlit as st
+import re
+from io import BytesIO
+import PyPDF2
+import docx2txt
+
+st.set_page_config(page_title="📝 Note Input", layout="centered")
+st.title("📄 Type of Text Input")
+
+def extract_pdf_text(uploaded_file):
+    pdf_reader = PyPDF2.PdfReader(uploaded_file)
+    text = ""
+    for page in pdf_reader.pages:
+        page_text = page.extract_text()
+        if page_text:
+            text += page_text + "\n"
+    return text
+
+def extract_docx_text(uploaded_file):
+    # docx2txt.process accepts a path or a file-like object
+    return docx2txt.process(uploaded_file)
+
+input_type = st.selectbox(
+    "Select the type of input:",
+    ["Select...", "PDF", "Word Document", "Text"]
+)
+
+if input_type == "PDF":
+    uploaded_file = st.file_uploader("Upload a PDF file", type=["pdf"])
+    if uploaded_file is not None:
+        extracted_text = extract_pdf_text(uploaded_file)
+        st.subheader("📜 Extracted PDF Text")
+        st.text_area("Content", extracted_text, height=300)
+
+elif input_type == "Word Document":
+    uploaded_file = st.file_uploader("Upload a DOCX file", type=["docx"])
+    if uploaded_file is not None:
+        extracted_text = extract_docx_text(uploaded_file)
+        st.subheader("📜 Extracted DOCX Text")
+        st.text_area("Content", extracted_text, height=300)
+
+elif input_type == "Text":
+    notes = st.text_area(
+        "Paste your class notes here",
+        height=300,
+        placeholder="e.g., AI notes ..."
+    )
+    if notes:
+        st.subheader("📝 Your Input Text")
+        st.text_area("Content", notes, height=300)
+
+else:
+    st.info("Please select an input type to get started.")
+
+
+