afiqzudinhadi/linkedIn_auto_jobs_applier_with_AI
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cover letter bug fixed

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This commit is contained in:
feder-cr 2024-08-12 23:00:55 +01:00
parent 2531f9c824
commit 2dcd7943e8
3 changed files with 21 additions and 24 deletions
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18
gpt.py
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@ -196,7 +196,7 @@ class GPTAnswerer:
def answer_question_textual_wide_range(self, question: str) -> str:
# Define chains for each section of the resume
self.chains = {
chains = {
"personal_information": self._create_chain(strings.personal_information_template),
"self_identification": self._create_chain(strings.self_identification_template),
"legal_authorization": self._create_chain(strings.legal_authorization_template),
@ -209,29 +209,29 @@ class GPTAnswerer:
"certifications": self._create_chain(strings.certifications_template),
"languages": self._create_chain(strings.languages_template),
"interests": self._create_chain(strings.interests_template),
"cover_letter": self._create_chain(strings.coverletter_template),
}
section_prompt = (
f"For the following question: '{question}', which section of the resume is relevant? "
"Respond with one of the following: Personal information, Self Identification, Legal Authorization, "
"Work Preferences, Education Details, Experience Details, Projects, Availability, Salary Expectations, "
"Certifications, Languages, Interests."
"Certifications, Languages, Interests, Cover letter"
)
prompt = ChatPromptTemplate.from_template(section_prompt)
chain = prompt | self.llm_cheap | StrOutputParser()
output = chain.invoke({"question": question})
section_name = output.lower().replace(" ", "_")
if section_name == "cover_letter":
chain = chains.get(section_name)
output= chain.invoke({"resume": self.resume, "job_description": self.job_description})
return output
resume_section = getattr(self.resume, section_name, None)
if resume_section is None:
raise ValueError(f"Section '{section_name}' not found in the resume.")
# Use the corresponding chain to answer the question
chain = self.chains.get(section_name)
chain = chains.get(section_name)
if chain is None:
raise ValueError(f"Chain not defined for section '{section_name}'")
output_str = chain.invoke({"resume_section": resume_section, "question": question})
return output_str
return chain.invoke({"resume_section": resume_section, "question": question})
def answer_question_textual(self, question: str) -> str:
template = self._preprocess_template_string(strings.resume_stuff_template)