Create app.py

app.py

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+import streamlit as st
+import PyPDF2
+import pytesseract
+from PIL import Image
+from pdf2image import convert_from_path
+
+def pdf_to_text(pdf_file):
+    # Open the PDF file
+    pdf = PyPDF2.PdfFileReader(pdf_file)
+
+    # Extract the text from each page
+    text = ''
+    for page in range(pdf.numPages):
+        page_obj = pdf.getPage(page)
+        text += page_obj.extractText()
+
+    # If the text is empty, use OCR to extract the text
+    if not text:
+        # Convert the PDF to images
+        images = convert_from_path(pdf_file)
+
+        # Perform OCR on each image
+        for image in images:
+            text += pytesseract.image_to_string(image)
+
+    return text
+
+def main():
+    st.title("PDF Text Extractor")
+    st.write("Upload a PDF file to extract the text")
+
+    pdf_file = st.file_uploader("Upload PDF file", type=["pdf"])
+
+    if pdf_file is not None:
+        text = pdf_to_text(pdf_file)
+        st.write("Extracted Text:")
+        st.code(text)
+
+        # Save the text to a .txt file
+        txt_file = pdf_file.name.replace('.pdf', '.txt')
+        with open(txt_file, 'w') as f:
+            f.write(text)
+        st.write(f"Text saved to {txt_file}")
+
+if __name__ == "__main__":
+    main()