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GitHub / LahyUS / R-MCAL_Chatbot

MCAL Chatbot is an AI-powered assistant designed to assist MCAL (Microcontroller Abstraction Layer) developers in efficiently searching for relevant information from MCAL documents.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LahyUS%2FR-MCAL_Chatbot

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 62.9 MB
Dependencies: 143

Created: 8 months ago
Updated: 2 months ago
Last pushed: 2 months ago
Last synced: 2 months ago

Files

Readme

Dependencies

01_Middle_Data/01_ConvertScript_V4/requirements.txt pypi

02_Final_Data/ConvertScript/requirement.txt pypi

cryptography ==41.0.3
langchain ==0.0.251
nltk ==3.8.1
scikit-learn ==1.3.0
torch ==2.0.1
tqdm ==4.65.0
transformers ==4.29.2

03_Prompt/requirements.txt pypi

Fernet ==1.0.1
accelerate ==0.20.1
huggingface_hub ==0.16.4
keybert ==0.7.0
langchain ==0.0.251
nltk ==3.8.1
sentence_transformers ==2.2.2
spacy ==3.6.0
symspellpy ==6.7.7
textblob ==0.17.1
transformers ==4.29.2

Fine-Tune/Fine_Tune_LLMs/evaluate/additional-tests-requirements.txt pypi

gin-config * test
unbabel-comet >=1.0.0 test

Fine-Tune/Fine_Tune_LLMs/evaluate/comparisons/exact_match/requirements.txt pypi

scipy *

Fine-Tune/Fine_Tune_LLMs/evaluate/comparisons/mcnemar/requirements.txt pypi

scipy *

Fine-Tune/Fine_Tune_LLMs/evaluate/comparisons/wilcoxon/requirements.txt pypi

datasets *
scipy *

Fine-Tune/Fine_Tune_LLMs/evaluate/measurements/honest/requirements.txt pypi

torch *
transformers *
unidecode ==1.3.4

Fine-Tune/Fine_Tune_LLMs/evaluate/measurements/label_distribution/requirements.txt pypi

scipy *

Fine-Tune/Fine_Tune_LLMs/evaluate/measurements/perplexity/requirements.txt pypi

torch *
transformers *

Fine-Tune/Fine_Tune_LLMs/evaluate/measurements/regard/requirements.txt pypi

torch *
transformers *

Fine-Tune/Fine_Tune_LLMs/evaluate/measurements/text_duplicates/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/measurements/toxicity/requirements.txt pypi

torch *
transformers *

Fine-Tune/Fine_Tune_LLMs/evaluate/measurements/word_count/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/measurements/word_length/requirements.txt pypi

nltk *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/accuracy/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/bertscore/requirements.txt pypi

bert_score *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/bleu/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/bleurt/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/brier_score/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/cer/requirements.txt pypi

jiwer *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/character/requirements.txt pypi

cer >=1.2.0

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/charcut_mt/requirements.txt pypi

charcut >=1.1.1

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/chrf/requirements.txt pypi

sacrebleu *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/code_eval/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/comet/requirements.txt pypi

torch *
unbabel-comet *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/competition_math/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/coval/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/cuad/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/exact_match/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/f1/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/frugalscore/requirements.txt pypi

torch *
transformers *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/glue/requirements.txt pypi

scikit-learn *
scipy *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/google_bleu/requirements.txt pypi

nltk *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/indic_glue/requirements.txt pypi

scikit-learn *
scipy *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/mae/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/mahalanobis/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/mape/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/mase/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/matthews_correlation/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/mauve/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/mean_iou/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/meteor/requirements.txt pypi

nltk *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/mse/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/nist_mt/requirements.txt pypi

nltk *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/pearsonr/requirements.txt pypi

scipy *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/perplexity/requirements.txt pypi

torch *
transformers *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/poseval/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/precision/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/r_squared/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/recall/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/rl_reliability/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/roc_auc/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/rouge/requirements.txt pypi

absl-py *
nltk *
rouge_score >=0.1.2

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/sacrebleu/requirements.txt pypi

sacrebleu *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/sari/requirements.txt pypi

sacrebleu *
sacremoses *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/seqeval/requirements.txt pypi

seqeval *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/smape/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/spearmanr/requirements.txt pypi

scipy *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/squad/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/squad_v2/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/super_glue/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/ter/requirements.txt pypi

sacrebleu *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/trec_eval/requirements.txt pypi

trectools *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/wer/requirements.txt pypi

jiwer *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/wiki_split/requirements.txt pypi

sacrebleu *
sacremoses *

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/xnli/requirements.txt pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/metrics/xtreme_s/requirements.txt pypi

scikit-learn *

Fine-Tune/Fine_Tune_LLMs/evaluate/setup.py pypi

Fine-Tune/Fine_Tune_LLMs/evaluate/templates/{{ cookiecutter.module_slug }}/requirements.txt pypi

MCAL_BOT_Chatbot/requirements.txt pypi

Flask ==2.3.2
PyJWT ==2.8.0
PyPDF2 ==3.0.1
aspose-words ==23.7.0
bs4 ==0.0.1
fastapi ==0.100.1
gradio ==3.39.0
jose ==1.0.0
mysql-connector-python ==8.1.0
passlib ==1.7.4
requests ==2.31.0
uvicorn ==0.23.2

requirements.txt pypi

Flask ==2.2.5
PyJWT ==2.3.0
PyPDF2 ==3.0.1
accelerate ==0.21.0
aspose-words ==23.7.0
bs4 ==0.0.1
chromadb ==0.4.5
cryptography ==41.0.3
faiss-cpu ==1.7.4
fastapi ==0.99.1
fernet ==1.0.1
gradio ==3.39.0
huggingface-hub ==0.16.4
jose ==1.0.0
keybert ==0.7.0
langchain ==0.0.251
mysql-connector-python ==8.1.0
nltk ==3.8.1
passlib ==1.7.4
pdfminer.six *
pyngrok ==6.0.0
pypdf ==3.14.0
pytesseract ==0.3.10
rank-bm25 ==0.2.2
requests ==2.31.0
scikit-learn ==1.2.2
selenium ==4.11.2
sentence-transformers ==2.2.2
spacy ==3.5.4
symspellpy ==6.7.7
textblob ==0.17.1
torch ==2.0.1
tqdm ==4.65.0
transformers ==4.31.0
unstructured ==0.9.0
uvicorn ==0.23.2