fixing tests and docs

README.md

@@ -77,6 +77,9 @@ ResumeGPT then creates a new resume YAML file in a new folder named after the jo
   <img src="images/example_resume_output.png" alt="Resume Example" width="400"/>
 </p>
 
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 ## Discussions
 Feel free to give feedback, ask questions, report a bug, or suggest improvements:
 
@@ -85,3 +88,6 @@ Feel free to give feedback, ask questions, report a bug, or suggest improvements
 
 ##  Contributors
 ⭐️  Please star, fork, explore, and contribute to ResumeGPT. There's a lot of work room for improvement so any contributions are appreciated.
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config/config.py

@@ -7,7 +7,7 @@
 logger = logging.getLogger(__name__)
 
 # Your resume filename here:
-YOUR_RESUME_NAME =  "example_resume.yaml"
+YOUR_RESUME_NAME =  "sample_resume.yaml"
 
 # Define project paths
 PROJECT_PATH = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))

services/langchain_helpers.py

@@ -2,33 +2,37 @@
 from typing import List
 from dateutil import parser as dateparser
 from dateutil.relativedelta import relativedelta
-from langchain.cache import InMemoryCache
 from langchain_openai import ChatOpenAI
 import langchain
+from langchain_community.cache import InMemoryCache
 from .. import config
 
 # Set up LLM cache
 langchain.llm_cache = InMemoryCache()
 
+
 def create_llm(**kwargs):
     """Create an LLM instance with specified parameters."""
     chat_model = kwargs.pop("chat_model", ChatOpenAI)
     kwargs.setdefault("model_name", "gpt-4o")
     kwargs.setdefault("cache", False)
     return chat_model(**kwargs)
 
+
 def format_list_as_string(lst: list, list_sep: str = "\n- ") -> str:
     """Format a list as a string with a specified separator."""
     if isinstance(lst, list):
         return list_sep + list_sep.join(lst)
     return str(lst)
 
+
 def format_prompt_inputs_as_strings(prompt_inputs: list[str], **kwargs):
     """Convert values to string for all keys in kwargs matching list in prompt inputs."""
     return {
         k: format_list_as_string(v) for k, v in kwargs.items() if k in prompt_inputs
     }
 
+
 def parse_date(date_str: str) -> datetime:
     """Given an arbitrary string, parse it to a date."""
     default_date = datetime(datetime.today().year, 1, 1)
@@ -39,6 +43,7 @@ def parse_date(date_str: str) -> datetime:
         config.logger.error(f"Date input `{date_str}` could not be parsed.")
         raise e
 
+
 def datediff_years(start_date: str, end_date: str) -> float:
     """Get difference between arbitrarily formatted dates in fractional years to the floor month."""
     datediff = relativedelta(parse_date(end_date), parse_date(start_date))