job recommendation based on the resume content. Suggests the suitable job role to apply for and provide the links from job sites based on location and sites user wants to search for.

week1/community-contributions/resume_based_job_recommender.py

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+from openai import OpenAI
+from dotenv import load_dotenv
+import os
+import pypdf
+
+class ResumeBasedJobRecommendation:
+    def __init__(self, path: str):
+        self.resume_path = path
+
+    # method to read the content from the resume and use it for the user prompt
+    def read_resume(self):
+        """method to read the content from the resume and use it for the user prompt.
+
+        Returns:
+            content (str): returns the content of the resume.
+        """        
+        try:
+            pdfreader = pypdf.PdfReader(self.resume_path)
+            data = ""
+            for page_number in range(pdfreader.get_num_pages()):
+                page = pdfreader.pages[page_number]
+                data += page.extract_text()
+        except FileNotFoundError as e:
+            print(f"Issue with the resume file path: {str(e)}")
+            return
+        except Exception as e:
+            print(f"Couldn't able to parse the pdf : {str(e)}")
+            return
+        return data
+    
+    #
+    def message_prompt(self, data: str, job_sites: list, location: str):
+        """method suggests the appropriate job roles and provides the search link from job sites based on users input of resume data, job boards and location.
+
+        Args:
+            data (str): resume content for user prompt
+            job_sites (list): job searching sites for user prompt
+            location (str): location of job search
+
+        Returns:
+            content (str): Provides summary of resume with suggested job roles and links using gpt 4.o model.
+        """        
+        self.message = [
+            {"role": "system", 
+             "content": "You are an assistant that analysizes the resume data and summarize it. \
+              Based on the summarization, you suggest the appropriate job roles \
+              and provide the appropriate job search links for each suggested roles from the job sites based on filtering by the \
+              location provided. "
+            },
+            {
+                "role": "user",
+                "content": f"Below is my resume content, kindly look for the appropriate job openings in \
+                {job_sites} for location {location}:\n{data}"
+            }]
+        self.response = openai.chat.completions.create(model='gpt-4o-mini', messages=self.message)
+        return self.response.choices[0].message.content
+
+
+if __name__ == '__main__':
+    # load the api key from .env and check if it is valid.
+    load_dotenv()
+
+    api_key = os.getenv('OPENAI_API_KEY')
+
+    if api_key is None:
+        print("No api key was found.")
+        exit()
+    elif not api_key.startswith('sk-proj-'):
+        print("api key is present but it is not matching with the openai api key pattern starting with sk-proj-. Please check it.")
+        exit()
+    elif api_key.strip() != api_key:
+        print("api key is good but it seems it has the spaces at starting or the end. Please check and remove it.")
+        exit()
+    else:
+        print("api key is found and it looks good.")
+
+    openai = OpenAI()
+
+    #Provide the valid resume path
+    file_path = input("Kindly enter the resume path:\n")
+    if not file_path:
+        print("Resume path is not provided. Kindly provide the valid path.")
+        exit()
+    
+    obj = ResumeBasedJobRecommendation(file_path)
+    data = obj.read_resume()
+
+    if not data:
+        pass
+    else:
+        #provide the input for the job sites to search and valid job location
+        job_sites = input("Enter the job sites with space between each other: ")
+        if not job_sites:
+            print("Didn't provided the job sites to search for. Going with Linkedin, Indeed, Glassdoor and Naukri as defaults.")
+            job_sites = ['LinkedIn', 'Indeed', 'Naukri', 'Glassdoor']
+        else:
+            job_sites = job_sites.split(' ')
+        location = input("Enter the job location:")
+        if not location:
+            print("No location has been provided. Default will consider as United States.")
+            location = 'United States'
+        
+        response = obj.message_prompt(data, job_sites, location)
+        print(response)