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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 os
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import fitz
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import
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import re
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class ResumeAnalyser:
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def __init__(self):
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pass
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job_description = self.extract_text_from_file(job_description_path.name)
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for resume_path in resume_list_path:
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resume = self.extract_text_from_file(resume_path.name)
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**Detailed Analysis:**
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Introduction to say we've assessment the resume
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the result should be in this format:
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Certifications: [Pursue certifications in mention area].\n
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Feel free to contact us for further clarification.\n
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Best wishes,
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Your job is to write a proper E-Mail to the candidate from the organization with the job role, the candidate's name, organization name, and the body of this E-Mail should be in the above format."""
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return result
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def clear(self,jobDescription,resume,result_email):
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import gradio as gr
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import os
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import fitz
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from openai import OpenAI
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import re
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client = OpenAI()
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class ResumeAnalyser:
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def __init__(self):
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pass
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job_description = self.extract_text_from_file(job_description_path.name)
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for resume_path in resume_list_path:
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resume = self.extract_text_from_file(resume_path.name)
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# Create a conversation for the OpenAI chat API
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conversation = [
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{"role": "system", "content": "You are a Mental Healthcare Chatbot."},
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{"role": "user", "content": f"""Given the job description and the resume, assess the matching percentage to 100 and if 100 percentage not matched mention the remaining percentage with reason. **Job Description:**{job_description}**Resume:**{resume}
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**Detailed Analysis:**
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Introduction to say we've assessment the resume
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the result should be in this format:
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Certifications: [Pursue certifications in mention area].\n
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Feel free to contact us for further clarification.\n
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Best wishes,
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Your job is to write a proper E-Mail to the candidate from the organization with the job role, the candidate's name, organization name, and the body of this E-Mail should be in the above format."""}
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]
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# Call OpenAI GPT-3.5-turbo
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chat_completion = client.chat.completions.create(
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model = "gpt-3.5-turbo",
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messages = conversation,
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max_tokens=300,
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temperature=0
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)
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response = chat_completion.choices[0].message.content
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result += response + "\n-------------------------------------------------------------------------------------\n"
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return result
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def clear(self,jobDescription,resume,result_email):
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