afiqzudinhadi/linkedIn_auto_jobs_applier_with_AI
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gpt power increase

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feder-cr 2024-08-08 02:39:06 +01:00
parent 98c9746717
commit 1be5194eb2
3 changed files with 151 additions and 128 deletions
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30
gpt.py
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@ -163,31 +163,21 @@ class GPTAnswerer:
output = chain.invoke({"text": text})
return output
"""def get_resume_html(self):
latex_resume_template = self._preprocess_template_string(strings.latex_resume_template)
prompt = ChatPromptTemplate.from_template(latex_resume_template)
chain = prompt | self.llm_cheap | StrOutputParser()
output = chain.invoke({"resume": self.resume, "job_description": self.job.summarize_job_description})
return output"""
def get_resume_html(self):
# Crea i prompt a partire dai template
prepare_info_prompt = ChatPromptTemplate.from_template(strings.prepare_info_template)
format_resume_prompt = ChatPromptTemplate.from_template(strings.format_resume_template)
review_and_optimize_prompt = ChatPromptTemplate.from_template(strings.review_and_optimize_template)
resume_markdown_prompt = ChatPromptTemplate.from_template(strings.resume_markdown_template)
fusion_job_description_resume_prompt = ChatPromptTemplate.from_template(strings.fusion_job_description_resume_template)
resume_markdown_chain = resume_markdown_prompt | self.llm_cheap | StrOutputParser()
fusion_job_description_resume_chain = fusion_job_description_resume_prompt | self.llm_cheap | StrOutputParser()
# Creazione delle catene
prepare_info_chain = prepare_info_prompt | self.llm_cheap | StrOutputParser()
format_resume_chain = format_resume_prompt | self.llm_cheap | StrOutputParser()
review_and_optimize_chain = review_and_optimize_prompt | self.llm_cheap | StrOutputParser()
html_template = strings.html_template.format(email_address=self.resume.personal_information.email, phone_number=self.resume.personal_information.phonePrefix + self.resume.personal_information.phone , github_link=self.resume.personal_information.github, linkedin_link=self.resume.personal_information.linkedin,city=self.resume.personal_information.city,country=self.resume.personal_information.country)
composed_chain = (
prepare_info_chain
| (lambda output: {"formatted_resume": output})
| format_resume_chain
| (lambda output: {"final_resume_html": output})
| review_and_optimize_chain
resume_markdown_chain
| (lambda output: {"job_description": self.job.summarize_job_description, "formatted_resume": output})
| fusion_job_description_resume_chain
| (lambda formatted_resume: html_template + formatted_resume)
)
try: