Upload untitled60.py

untitled60.py

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+# -*- coding: utf-8 -*-
+"""Untitled60.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1if8bXKbgk5lh_oSOZ6Vf6dZ8m7MZ1B-p
+"""
+
+import gradio as gr
+import pandas as pd
+from PyPDF2 import PdfReader
+import re
+import os
+
+def process_pdf(file):
+    # Load the PDF
+    pdf = PdfReader(file.name)
+
+    data = []
+
+    # File path regex pattern
+    file_path_pattern = re.compile(r'.*\/.*\..*$')
+
+    # Set a flag to start collecting data
+    start_collecting = False
+
+    # Iterate over all pages in the PDF
+    for page in pdf.pages:
+        text = page.extract_text()
+        lines = text.split('\n')
+
+        # Process lines that do not contain 'AM', 'PM', or match the file path pattern
+        for line in lines:
+            if "Accounts that follow you in Threads" in line:
+                start_collecting = True
+                continue
+
+            if start_collecting and line.strip() and 'AM' not in line and 'PM' not in line and not file_path_pattern.match(line):
+                data.append(line)
+
+    # Convert the data into a pandas DataFrame
+    df = pd.DataFrame(data, columns=['Username'])
+
+    # Save DataFrame to Excel
+    output_file = "output.xlsx"
+    df.to_excel(output_file, index=False)
+    return output_file
+
+
+# Define the Gradio interface
+iface = gr.Interface(fn=process_pdf,
+                     inputs="file",
+                     outputs=gr.outputs.File(label="Output Excel"),
+                     title="PDF to Excel",
+                     description="Upload a PDF file and get an Excel file with usernames.")
+
+iface.launch(share = True)