llama-index packs resume_screener integration
Project description
Resumer Screener Pack
This LlamaPack loads a resume file, and review it against a user specified job description and screening criteria.
CLI Usage
You can download llamapacks directly using llamaindex-cli
, which comes installed with the llama-index
python package:
llamaindex-cli download-llamapack ResumeScreenerPack --download-dir ./resume_screener_pack
You can then inspect the files at ./resume_screener_pack
and use them as a template for your own project!
Code Usage
You can download the pack to a ./resume_screener_pack
directory:
from llama_index.core.llama_pack import download_llama_pack
# download and install dependencies
ResumeScreenerPack = download_llama_pack(
"ResumeScreenerPack", "./resume_screener_pack"
)
From here, you can use the pack, or inspect and modify the pack in ./resume_screener_pack
.
Then, you can set up the pack like so:
# create the pack
resume_screener = ResumeScreenerPack(
job_description="<general job description>",
criteria=["<job criterion>", "<another job criterion>"],
)
response = resume_screener.run(resume_path="resume.pdf")
print(response.overall_decision)
The response
will be a pydantic model with the following schema
class CriteriaDecision(BaseModel):
"""The decision made based on a single criteria"""
decision: Field(
type=bool, description="The decision made based on the criteria"
)
reasoning: Field(type=str, description="The reasoning behind the decision")
class ResumeScreenerDecision(BaseModel):
"""The decision made by the resume screener"""
criteria_decisions: Field(
type=List[CriteriaDecision],
description="The decisions made based on the criteria",
)
overall_reasoning: Field(
type=str, description="The reasoning behind the overall decision"
)
overall_decision: Field(
type=bool,
description="The overall decision made based on the criteria",
)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for llama_index_packs_resume_screener-0.0.4.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ec2bd455ebc2bdf08d3e151eef051a65fb71bfa5a54d9f384bd07896e47455ee |
|
MD5 | 03979d0c4984fd5f8ab258214df1fd54 |
|
BLAKE2b-256 | eb00844f00c254ba0f93f535175356a9bda18482b28c9a91845dc92adfe94920 |
Hashes for llama_index_packs_resume_screener-0.0.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f38364b45a98e80124fd3573a7eb9473b5b4b86e3cce9cd0b4106d1d2c76de0d |
|
MD5 | ef886f824dc9c619d923538cc1cd22d8 |
|
BLAKE2b-256 | 77680f60ecd5b099168669afbdd79b92fece0b7720f9bb4498cde8b0bd254d41 |