Resolved some keyword errors

Updated to a better version of python than bullseye

Updated to a fully pinned version and stable tag which is widely cached

Added a fallback for values

Strictly capped the score from 0 to 1 for phase 2 evaluation

Updated to prioritize openai

Clamp final scores to strictly (0, 1) for success check

Just added a small error message in the inferance and added .env.example for detailing purpose

Merge pull request #1 from Prem01-cyber/PR/vignesh

shuffle email, fix reward function

update readme with local running details

Updated README

Remove audioop-lts, incompatible with Python 3.11

Add HF Spaces configuration frontmatter

Made some documentation updates

Added latest svg pics

Updated the png and svg images for better clarity

added mermaid representation of how it works

Added mermaid representations than raw representation

Updated README

code has been reformated as per the openenv validation

Added lock file and updated requirements.txt

updated requirements so openenv is also included

added pyproject file as openenv validation was failing

added openenv such that validation get's passed

removed logging as we are using our own version such that there would be no conflicts and corrected some naming issues through out the code

Updated some minor chore issues in the app.py

Merge branch 'envdev' of https://github.com/Prem01-cyber/Sieve into deploydev

added commands to download nltk corpus such that local execution on other systems doesn't cause any issues

added commands to download nltk corpus such that local execution on other systems doesn't cause any issues

Added dockerfile for migrating the current implementation

Updated the requirements file after a basic complete run

Updated inference and added logging as per the task requirement

Implemented all the endpoints as requested in the task

Added basic structure for the fast api endpoints as per the task

Removed ambigious stuff from the data so model doesn't fluctuate

Updated README file by removing the old rewarding scheme

Implemented score calculations and updated readme with revised scores

Implemented processing of support session finalized version

Implemented processing of support session

Implemented the response drafting

Updated README file

Added data using llm for the grading purpose and updated the classification logic and reward allocation

Merge branch 'master' of https://github.com/Prem01-cyber/Sieve into envdev

Removed the baseline endpoint as it's not required

Updated the environments as per the task requirements

Updated minior issues pertaining to models

Updated the README file as relevant to the updated models

Added the models pertaining to the environement

Updated the task2 reward details