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Update app.py
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app.py
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import gradio as gr
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import re
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from docx import Document # Use python-docx to read DOCX files
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from PyPDF2 import PdfFileReader # Import PdfFileReader from PyPDF2
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# Function to extract text from a PDF file
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def extract_text_from_pdf(pdf_file):
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text = ""
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pdf = PdfFileReader(pdf_file)
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for page_num in range(pdf.getNumPages()):
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page = pdf.getPage(page_num)
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text += page.extractText()
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return text
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# Function to extract text from a DOCX file
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def extract_text_from_docx(docx_file):
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doc = Document(docx_file)
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text = "\n".join([para.text for para in doc.paragraphs])
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return text
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# Function to extract information from a resume
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def extract_info_from_resume(resume_path):
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if resume_path.name.endswith('.pdf'):
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text = extract_text_from_pdf(resume_path)
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elif resume_path.name.endswith('.docx'):
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text = extract_text_from_docx(resume_path)
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else:
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raise ValueError("Unsupported file format. Only PDF and DOCX are supported.")
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# Define regular expressions to extract information
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name_pattern = r"([A-Z][a-z]+(?: [A-Z][a-z]+)+)"
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email_pattern = r"[\w\.-]+@[\w\.-]+"
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phone_pattern = r"(\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4})"
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name = re.search(name_pattern, text)
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email = re.search(email_pattern, text)
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phone = re.search(phone_pattern, text)
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if name:
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name = name.group()
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else:
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name = "Name not found"
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if email:
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email = email.group()
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else:
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email = "Email not found"
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if phone:
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phone = phone.group()
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else:
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phone = "Phone number not found"
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extracted_info = {
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"Name": name,
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"Email": email,
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"Phone": phone,
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}
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return extracted_info
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# Define a Gradio interface
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iface = gr.Interface(
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fn=extract_info_from_resume,
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inputs=gr.inputs.File(type="file"),
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outputs="json"
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)
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# Deploy the Gradio interface
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iface.launch(share=True)
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