PredictorProjGPT

소개

PredictorProjGPT 프롬프트 프레임워크에는 성능 테스트 결과를 입력으로 받아들이고 해당 데이터 프레임 개체에 매핑된 핵심 성과 지표(KPI)가 포함된 출력을 제공하는 기능이 있습니다.

OpenAI 문서 : https://platform.openai.com/docs/libraries/python-library

사전 요구 사항

1. OpenAI API 키
2. OpenAI 패키지
3. 팬더 패키지
4. 간소화된 패키지

패키지 설치

1. OpenAI 패키지 설치

 pip install openai

2. 팬더 설치

 pip install pandas

3. 스트림릿 설치

 pip install streamlit

산출

입력 성능 테스트 보고서 프롬프트

 A performance test was conducted on 24th April 2020 on a Salesforce application. The following observation was 
recorded by a performance tester after conclusion of the test.
Configuration:
1. There are total 40 transactions involved. The wait time between each transaction is 5 seconds.
2. Total Pacing Time is configured as 180 seconds.
    
Summary:
1. Average Response Time for the entire duration of the test was 6.5 seconds.
2. CPU Utilization peaked 75% in the first hour of the steady state.
3. Memory Consumption of 88% was observed at the last hour of the steady state.
4. Entire duration of the test was 5 hours. Endurance Test was performed.
5. Observed 10% error on the entire duration of the test
6. Predict the outcome

최종 결과


설치

1. 저장소를 프로젝트 디렉터리에 복제합니다.

 git clone 'enter repository url here'

2. 이미지 구축

 docker build -t predictor-gpt-app .

2. 컨테이너 실행

 docker run -it predictor-gpt-app

업데이트 - 2024년 3월 18일

 1. Recent Changes in OpenAI commands - https://github.com/openai/openai-python

 2. OpenAI secret key is now stored as environment variable