Merge pull request #405 from Shikidwaja/community_contribution_day1

job recommendation based on the resume content.

week1/community-contributions/resume_based_job_recommender.py

@@ -0,0 +1,104 @@
+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)