afiqzudinhadi/linkedIn_auto_jobs_applier_with_AI
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reformat code

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This commit is contained in:
queukat 2024-09-08 17:46:00 +03:00
parent ad85b9587f
commit 5efe6c3048
4 changed files with 82 additions and 98 deletions
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26
src/gpt.py
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@ -3,11 +3,11 @@ import os
import re
import textwrap
import time
from datetime import datetime
from abc import ABC, abstractmethod
from typing import Dict, List, Union
from datetime import datetime
from pathlib import Path
from typing import Dict, List
from typing import Union
import httpx
from Levenshtein import distance
@ -16,39 +16,42 @@ from langchain_core.messages.ai import AIMessage
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompt_values import StringPromptValue
from langchain_core.prompts import ChatPromptTemplate
from langchain_openai import ChatOpenAI
import src.strings as strings
from src.utils import logger
load_dotenv()
class AIModel(ABC):
@abstractmethod
def invoke(self, prompt: str) -> str:
pass
class OpenAIModel(AIModel):
def __init__(self, api_key: str, llm_model: str, llm_api_url: str):
from langchain_openai import ChatOpenAI
self.model = ChatOpenAI(model_name=llm_model, openai_api_key=api_key,
temperature=0.4, base_url=llm_api_url)
def invoke(self, prompt: str) -> str:
print("invoke in openai")
response = self.model.invoke(prompt)
return response
class ClaudeModel(AIModel):
def __init__(self, api_key: str, llm_model: str, llm_api_url: str):
from langchain_anthropic import ChatAnthropic
self.model = ChatAnthropic(model=llm_model, api_key=api_key,
temperature=0.4, base_url=llm_api_url)
temperature=0.4, base_url=llm_api_url)
def invoke(self, prompt: str) -> str:
response = self.model.invoke(prompt)
return response
class OllamaModel(AIModel):
def __init__(self, api_key: str, llm_model: str, llm_api_url: str):
from langchain_ollama import ChatOllama
@ -58,6 +61,7 @@ class OllamaModel(AIModel):
response = self.model.invoke(prompt)
return response
class AIAdapter:
def __init__(self, config: dict, api_key: str):
self.model = self._create_model(config, api_key)
@ -67,7 +71,7 @@ class AIAdapter:
llm_model = config['llm_model']
llm_api_url = config['llm_api_url']
print('Using {0} with {1} from {2}'.format(llm_model_type, llm_model, llm_api_url))
if llm_model_type == "openai":
return OpenAIModel(api_key, llm_model, llm_api_url)
elif llm_model_type == "claude":
@ -80,9 +84,9 @@ class AIAdapter:
def invoke(self, prompt: str) -> str:
return self.model.invoke(prompt)
class LLMLogger:
def __init__(self, llm: Union[OpenAIModel, OllamaModel, ClaudeModel]):
self.llm = llm
@ -189,7 +193,6 @@ class LLMLogger:
class LoggerChatModel:
def __init__(self, llm: Union[OpenAIModel, OllamaModel, ClaudeModel]):
self.llm = llm
@ -247,7 +250,6 @@ class LoggerChatModel:
time.sleep(30)
continue
def parse_llmresult(self, llmresult: AIMessage) -> Dict[str, Dict]:
logger.debug("Parsing LLM result: %s", llmresult)
@ -454,12 +456,14 @@ class GPTAnswerer:
chain = prompt | self.llm_cheap | StrOutputParser()
output = chain.invoke({"question": question})
match = re.search(r"(Personal information|Self Identification|Legal Authorization|Work Preferences|Education Details|Experience Details|Projects|Availability|Salary Expectations|Certifications|Languages|Interests|Cover letter)", output, re.IGNORECASE)
match = re.search(
r"(Personal information|Self Identification|Legal Authorization|Work Preferences|Education Details|Experience Details|Projects|Availability|Salary Expectations|Certifications|Languages|Interests|Cover letter)",
output, re.IGNORECASE)
if not match:
raise ValueError("Could not extract section name from the response.")
section_name = match.group(1).lower().replace(" ", "_")
if section_name == "cover_letter":
chain = chains.get(section_name)
output = chain.invoke({"resume": self.resume, "job_description": self.job_description})