#Decription: Create a program to see how similar a resume is to a job description
# Install the docx2txt package
!pip install docx2txt
#Import the library
import docx2txt
#Load the data
from google.colab import files
uploaded = files.upload()
#Store the resume in a variable
resume = docx2txt.process("python_resume.docx")
# print the resume
print(resume)
#Store the job description into a variable
job_description = docx2txt.process("job_description.docx")


#Print the job description
print(job_description)
#Store the job description into a variable
job_description = docx2txt.process("job_description.docx")


#Print the job description
print(job_description)
# A list of text
text = [resume, job_description]

from sklearn.feature_extraction.text import CountVectorizer
cv = CountVectorizer()
count_matrix = cv.fit_transform(text)

from sklearn.metrics.pairwise import cosine_similarity

#Print the similarity scores
print("\nSimilarity Scores:")
print(cosine_similarity(count_matrix))

#get the match percentage
matchPercentage = cosine_similarity(count_matrix)[0][1] * 100
matchPercentage = round(matchPercentage, 2) # round to two decimal places
print("Your resume matches about " + str(matchPercentage)+ "% of the job description.")