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EvalDataSetHugging
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4b52d4aa91 ... b5f235f5ae

Author SHA1 Message Date
Mario Gil b5f235f5ae Reqs 2024-07-30 22:35:57 -05:00
Mario Gil 387cb18bab add gitignore 2024-07-30 11:57:12 -05:00
Mario Gil f7e3913d2e Metrics voice completes 2024-07-30 11:49:42 -05:00
7 changed files with 511 additions and 127 deletions
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38
.gitignore vendored
View File

@ -8,3 +8,41 @@ databases/storage.db
.vscode/* .vscode/*
__pycache__/* __pycache__/*
conf/experiment_config.json
example/Gmail.zip
example/Gmail/20240530_112812.jpg
example/Gmail/20240530_112825.jpg
example/Gmail/20240530_112925.jpg
example/Gmail/20240530_113110.jpg
example/Gmail/20240530_113114.jpg
example/Gmail/20240530_113531.jpg
example/Gmail/20240530_113555.jpg
example/Gmail/20240530_113614.jpg
example/Gmail/20240530_113650.jpg
example/Gmail/20240530_113731.jpg
example/audio/audio-file.flac
example/audio/audio-file2.flac
example/audio/AwACAgEAAxkBAAIBw2YX8o2vGGCNtZCXk7mY1Bm5w__lAAJmBAACxe7ARI1fUWAGcz_RNAQ.ogg
example/audio/AwACAgEAAxkBAAIBxWYX8z-FgaOqQ5wJ4588Oa4wKNbsAAJnBAACxe7AREtzfoE98xYHNAQ.ogg
example/audio/AwACAgEAAxkBAAIByGYX-NDzOEo-RH2YjEgG081ujEd-AAIQBAACS5vARIG7Bw8TVGr2NAQ.ogg
example/audio/AwACAgEAAxkBAANfZg2OE9Zvvn_7jJl7DaoD0j4kQQwAAqkEAAI-a3FEcjssrLJQjM00BA.ogg
example/audio/AwACAgEAAxkBAANhZg2U46T2Q6UYZ9gl3fHJsmJx2XcAAtgEAAI5ImlETOJIxvExjdg0BA.ogg
example/audio/AwACAgEAAxkBAANjZg2VEKqY04rTspcLw7trMmKPw58AAtkEAAI5ImlEZ18o0TpHffc0BA.ogg
example/audio/AwACAgEAAxkBAANlZg2WB8W9V-L0qkNENZrH1M1FZ5oAAtoEAAI5ImlEq70kYsaMeAs0BA.ogg
example/audio/AwACAgEAAxkBAANmZg2WDkyaygSa1QJvcSfYs6mNspcAAtsEAAI5ImlEfDhlNAY1KXs0BA.ogg
example/audio/AwACAgEAAxkBAANpZhcNbIqGT8cK3erus_8QoSBqkaMAAiEEAAIpsrhELqtOLaMMSf40BA.ogg
example/audio/AwACAgEAAxkBAANtZhcOLk3GkB7sTJ8HYUqjsmwjrNwAAiQEAAIpsrhEGvkyIIq7LKc0BA.ogg
example/audio/file_96.oga
example/audio/Prueba3.wav
example/audio/sin nombre.ogg
example/factura/Factura1.jpg
example/factura/Factura2.jpg
example/factura/Factura3.jpeg
example/factura/Factura4.jpg
example/factura/Factura5.jpg
example/factura/Factura6.jpg
example/texto/7fad5a297eb94ff9dbb3eff8e889a1c7dd87fe0f7c6bb6130f268acbfd828736.txt
4b751a4425c2884286a92fde2de6427f_analitic_llm_rag.table
4b751a4425c2884286a92fde2de6427f_analitic_llm_generaciontexto.table
4b751a4425c2884286a92fde2de6427f_analitic_llm_factura.table
4b751a4425c2884286a92fde2de6427f_analitic_llm_compra.table

290
apis.py
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@ -1,10 +1,10 @@
import fastapi import fastapi
from fastapi import FastAPI, Request from fastapi import FastAPI, Request
from fastapi.responses import HTMLResponse from fastapi.responses import HTMLResponse,JSONResponse
from pydantic import BaseModel from pydantic import BaseModel
import time import time
from fastapi.staticfiles import StaticFiles from fastapi.staticfiles import StaticFiles
from fastapi import FastAPI, Query, File, UploadFile from fastapi import FastAPI, Query, File, UploadFile,HTTPException
#from fastapi.middleware.cors import CORSMiddleware #from fastapi.middleware.cors import CORSMiddleware
from starlette.middleware.cors import CORSMiddleware from starlette.middleware.cors import CORSMiddleware
import main import main
@ -13,9 +13,23 @@ from databases import db
import audioread import audioread
import pandas as pd import pandas as pd
import statistics import statistics
import hashlib
from datetime import datetime
import json
pwd = os.getcwd() pwd = os.getcwd()
pathAud="example/audio" pathAud="example/audio"
pathFact="example/factura" pathFact="example/factura"
pathText="example/texto"
def extractConfig(nameModel="SystemData",relPath=os.path.join(pwd,"conf/experiment_config.json"),dataOut="keyantrophics"):
configPath=os.path.join(os.getcwd(),relPath)
with open(configPath, 'r', encoding='utf-8') as file:
config = json.load(file)[nameModel]
Output= config[dataOut]
return Output
mode_list=extractConfig(nameModel="SystemData",dataOut="mode_list")
app = FastAPI() app = FastAPI()
#app.mount("/statics", StaticFiles(directory="statics"), name="statics") #app.mount("/statics", StaticFiles(directory="statics"), name="statics")
app.add_middleware( app.add_middleware(
@ -30,7 +44,6 @@ class Response(BaseModel):
"""Structure of data to querry of make post from X or article blog """Structure of data to querry of make post from X or article blog
""" """
path: str = Query("", description="Style and sentiments of text") path: str = Query("", description="Style and sentiments of text")
Trusted: str = Query("", description="Style and sentiments of text")
model : str = Query("whisper", description="Style and sentiments of text") model : str = Query("whisper", description="Style and sentiments of text")
class Response1(BaseModel): class Response1(BaseModel):
path: str = Query("", description="path file") path: str = Query("", description="path file")
@ -55,29 +68,177 @@ class Response3(BaseModel):
Trusted: str = Query("", description="Style and sentiments of text") Trusted: str = Query("", description="Style and sentiments of text")
mode : str = Query("whisper", description="Style and sentiments of text") mode : str = Query("whisper", description="Style and sentiments of text")
#Funcionales
@app.get("/addTrusted") @app.get("/addTrusted")
@app.post("/addTrusted") @app.post("/addTrusted")
def addTrusted(response:Response3): def addTrusted(response:Response3):
"""Api to add information of Trusted data
Args:
response (Response3): 3 params:
path : path of archive on system if is a file OR text if is text.
Trusted : information Trusted or better information in a process.
mode: llm_compra,llm_factura,llm_generaciontexto,llm_rag,ocr,voice,
Returns:
_type_: _description_
"""
path=response.path path=response.path
Trusted=response.Trusted Trusted=response.Trusted
mode=response.mode mode=response.mode
last_modified=datetime.now()
if mode not in mode_list.keys():
return JSONResponse(
status_code=404,
content={"content": "mode no found" }
)
if mode == "llm_factura" or mode == "ocr" or mode == "voice":
if not os.path.isfile(path):
return JSONResponse(
status_code=404,
content={"content": "file no found" }
)
if mode_list[mode]=="texto":
hash1 = hashlib.sha256(path.encode()).hexdigest()+".txt"
f = open("example/texto/"+hash1, "w")
f.write(path)
f.close()
path=pwd+"/"+pathText+hash1
length=len(Trusted)
size=0
duration=0
elif mode_list[mode]=="factura":
file_stats = os.stat(path) file_stats = os.stat(path)
size=file_stats.st_size / (1024 * 1024) size=file_stats.st_size / (1024 * 1024)
if mode=="voice": length=0
duration=0
elif mode_list[mode]=="audio":
with audioread.audio_open(path) as f: with audioread.audio_open(path) as f:
duration = f.duration duration = f.duration
else: length=0
duration = 0 size=0
if db(db.trusted.path == path and db.trusted.mode == mode).count()==0:
db.trusted.insert(path=path,trusted=Trusted,mode=mode,size=size,duration =duration ) if db((db.trusted.path == path)&(db.trusted.mode == mode)).count()==0:
db.trusted.insert(path=path,trusted=Trusted,mode=mode,size=size,duration=duration,last_modified=last_modified,length=length )
db.commit() db.commit()
return "Add %s in mode %s"%(path,mode) return "Add %s in mode %s"%(path,mode)
else: else:
db(db.trusted.path == path and db.trusted.mode == mode).update(trusted=Trusted,size=size,duration =duration ) item=db((db.trusted.path == path)&(db.trusted.mode == mode)).select().last()
modification_count=item.modification_count + 1
db((db.trusted.path == path)&(db.trusted.mode == mode)).update(trusted=Trusted,size=size,duration =duration,length=length,last_modified=last_modified,modification_count= modification_count)
db.commit() db.commit()
return "Update %s in mode %s"%(path,mode) return "Update %s in mode %s"%(path,mode)
@app.get("/EvalVoice")
@app.post("/EvalVoice")
def EvalVoice(response:Response):
path=response.path
model=response.model
if db((db.trusted.path == path ) & ( db.trusted.mode == "voice")).count()==0:
return JSONResponse(
status_code=404,
content={"content": "Trusted no found" }
)
Trusted=db((db.trusted.path == path ) & ( db.trusted.mode == "voice")).select().last().trusted
print(Trusted)
if model=="whisper":
Sal=main.EvalWhisper(path,Trusted)
else:
Sal=main.EvalVosk(path,Trusted)
Sal["last_modified"]=datetime.now()
if db(db.analitic_voice.path == Sal["path"] and db.analitic_voice.model == Sal["model"]).count()==0:
db.analitic_voice.insert(**Sal)
db.commit()
else:
db(db.analitic_voice.path == Sal["path"] and db.analitic_voice.model == Sal["model"]).update(similarity= Sal["similarity"],similaritypartial= Sal["similaritypartial"],last_modified=Sal["last_modified"])
db.commit()
return Sal
@app.get("/evalvoicehtml")
def EvalVoicehtml():
dir_list = os.listdir(pathAud)
Sal=""
t=1
for i in dir_list:
temp="""<option value="%s">Opción %s, %s</option>
"""%(str(pwd+"/"+pathAud+"/"+i),str(t),str(i))
Sal=Sal+temp
t=t+1
html="""<!DOCTYPE html>
<html lang="es">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Evaluacion de modelos voice2txt</title>
<style>
body {
font-family: Arial, sans-serif;
margin: 20px;
}
input, button {
margin: 10px 0;
padding: 5px;
}
#respuesta {
margin-top: 20px;
padding: 10px;
border: 1px solid #ccc;
background-color: #f9f9f9;
}
</style>
</head>
<body>
<h1>Petición POST a API</h1>
<select id="texto1">
%s
</select>
<br>
<select id="texto2">
<option value="whisper">whisper</option>
<option value="vosk">vosk</option>
</select>
<br>
<button onclick="enviarPeticion()">Enviar petición</button>
<div id="respuesta"></div>
<script>
function enviarPeticion() {
const texto1 = document.getElementById('texto1').value;
const texto2 = document.getElementById('texto2').value;
const datos = {
path: texto1,
model: texto2
};
fetch('/EvalVoice', {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify(datos)
})
.then(response => response.json())
.then(data => {
document.getElementById('respuesta').innerHTML = JSON.stringify(data, null, 2);
})
.catch(error => {
document.getElementById('respuesta').innerHTML = 'Error: ' + error;
});
}
</script>
</body>
</html>
"""%(Sal)
return HTMLResponse(content=html, status_code=200)
#Por revisar
def list2tablehtml(listdata,model): def list2tablehtml(listdata,model):
html="""<h2>Table of {0}</h2> html="""<h2>Table of {0}</h2>
<table style="width:100%"> <table style="width:100%">
@ -223,30 +384,6 @@ display:flex;
return HTMLResponse(content=html, status_code=200) return HTMLResponse(content=html, status_code=200)
@app.get("/EvalVoice")
@app.post("/EvalVoice")
def EvalVoice(response:Response):
path=response.path
Trusted=response.Trusted
model=response.model
if Trusted=="":
row=db(db.trusted.path == path and db.trusted.mode == "voice").select().first()
try:
Trusted=row.trusted
except:
pass
if model=="whisper":
Sal=main.EvalWhisper(path,Trusted)
else:
Sal=main.EvalVosk(path,Trusted)
if db(db.analitic_voice.path == Sal["path"] and db.analitic_voice.model == Sal["model"]).count()==0:
db.analitic_voice.insert(**Sal)
db.commit()
else:
db(db.analitic_voice.path == Sal["path"] and db.analitic_voice.model == Sal["model"]).update(similarity= Sal["similarity"],similaritypartial= Sal["similaritypartial"])
db.commit()
return Sal
@app.get("/EvalFact") @app.get("/EvalFact")
@app.post("/EvalFact") @app.post("/EvalFact")
@ -290,91 +427,6 @@ def EvalLLMFact(response:Response2):
Sal=main.EvalllmFacturas(path,task_prompt,system,content,max_tokens,model,prompt,TrustedLLmjson) Sal=main.EvalllmFacturas(path,task_prompt,system,content,max_tokens,model,prompt,TrustedLLmjson)
return Sal return Sal
@app.get("/evalvoicehtml")
def EvalVoicehtml():
dir_list = os.listdir(pathAud)
Sal=""
t=1
for i in dir_list:
temp="""<option value="%s">Opción %s, %s</option>
"""%(str(pwd+"/"+pathAud+"/"+i),str(t),str(i))
Sal=Sal+temp
t=t+1
html="""<!DOCTYPE html>
<html lang="es">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Evaluacion de modelos voice2txt</title>
<style>
body {
font-family: Arial, sans-serif;
margin: 20px;
}
input, button {
margin: 10px 0;
padding: 5px;
}
#respuesta {
margin-top: 20px;
padding: 10px;
border: 1px solid #ccc;
background-color: #f9f9f9;
}
</style>
</head>
<body>
<h1>Petición POST a API</h1>
<select id="texto1">
%s
</select>
<br>
<input type="text" id="texto2" placeholder="Trusted">
<br>
<select id="texto3">
<option value="whisper">whisper</option>
<option value="vosk">vosk</option>
</select>
<br>
<button onclick="enviarPeticion()">Enviar petición</button>
<div id="respuesta"></div>
<script>
function enviarPeticion() {
const texto1 = document.getElementById('texto1').value;
const texto2 = document.getElementById('texto2').value;
const texto3 = document.getElementById('texto3').value;
const datos = {
path: texto1,
Trusted: texto2,
model: texto3
};
fetch('/EvalVoice', {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify(datos)
})
.then(response => response.json())
.then(data => {
document.getElementById('respuesta').innerHTML = JSON.stringify(data, null, 2);
})
.catch(error => {
document.getElementById('respuesta').innerHTML = 'Error: ' + error;
});
}
</script>
</body>
</html>
"""%(Sal)
return HTMLResponse(content=html, status_code=200)
@app.get("/evalocrfactura") @app.get("/evalocrfactura")

54
databases.py
View File

@ -5,8 +5,11 @@ db.define_table(
Field("path"), Field("path"),
Field("mode"), Field("mode"),
Field("trusted"), Field("trusted"),
Field("duration",type="double"), Field("duration",type="double",default=0),#audio
Field("size",type="double") Field("sizeMB",type="double",default=0),# audio,factura
Field("length",type="integer",default=0),#texto
Field('last_modified', 'datetime'),
Field('modification_count', 'integer', default=0)
) )
db.define_table( db.define_table(
"analitic_voice", "analitic_voice",
@ -16,7 +19,8 @@ db.define_table(
Field("time", type="double"), Field("time", type="double"),
Field("path"), Field("path"),
Field("similarity", type="double"), Field("similarity", type="double"),
Field("similaritypartial", type="double") Field("similaritypartial", type="double"),
Field('last_modified', 'datetime')
) )
db.define_table( db.define_table(
@ -28,16 +32,54 @@ db.define_table(
Field("path"), Field("path"),
Field("similarity", type="double"), Field("similarity", type="double"),
Field("similaritypartial", type="double"), Field("similaritypartial", type="double"),
Field("jsonok" ,type="integer") Field("jsonok" ,type="integer"),
Field('last_modified', 'datetime')
) )
db.define_table( db.define_table(
"analitic_llm", "analitic_llm_compra",
Field("content"), Field("content"),
Field("trusted"), Field("trusted"),
Field("model"), Field("model"),
Field("time", type="double"), Field("time", type="double"),
Field("path"), Field("path"),
Field("similarity", type="double"), Field("similarity", type="double"),
Field("similaritypartial", type="double") Field("similaritypartial", type="double"),
Field('last_modified', 'datetime')
)
db.define_table(
"analitic_llm_factura",
Field("content"),
Field("trusted"),
Field("model"),
Field("time", type="double"),
Field("path"),
Field("similarity", type="double"),
Field("similaritypartial", type="double"),
Field('last_modified', 'datetime')
)
db.define_table(
"analitic_llm_generaciontexto",
Field("content"),
Field("trusted"),
Field("model"),
Field("time", type="double"),
Field("path"),
Field("similarity", type="double"),
Field("similaritypartial", type="double"),
Field('last_modified', 'datetime')
)
db.define_table(
"analitic_llm_rag",
Field("content"),
Field("trusted"),
Field("model"),
Field("time", type="double"),
Field("path"),
Field("similarity", type="double"),
Field("similaritypartial", type="double"),
Field('last_modified', 'datetime')
) )

105
gui.py Normal file
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@ -0,0 +1,105 @@
from taipy.gui import Gui
import hashlib
import json
import codecs, os
from taipy.gui import Html
import pandas as pd
import requests
import statistics
from databases import db
pwd = os.getcwd()
HTML = os.path.join(pwd,"html", "index.html")
file_read = codecs.open(HTML, "r", "utf-8")
index = file_read.read()
html_page_index = Html(index)
def extractConfig(nameModel="SystemData",relPath=os.path.join(pwd,"conf/experiment_config.json"),dataOut="keyantrophics"):
configPath=os.path.join(os.getcwd(),relPath)
with open(configPath, 'r', encoding='utf-8') as file:
config = json.load(file)[nameModel]
Output= config[dataOut]
return Output
mode_list=extractConfig(nameModel="SystemData",dataOut="mode_list")
def getmetricvoice(model):
rows = db(db.analitic_voice.model==model).select()
rows_list = rows.as_list()
data=pd.DataFrame(rows_list)
durationL=list()
for i in rows_list:
durationL.append(db(db.trusted.path == i["path"] ).select().last().duration)
duration=statistics.mean(durationL)
time=pd.pivot_table(data,values=['time','similarity', 'similaritypartial'],index="model")['time'].values[0]
similarity=pd.pivot_table(data,values=['time','similarity', 'similaritypartial'],index="model")['similarity'].values[0]
similaritypartial=pd.pivot_table(data,values=['time','similarity', 'similaritypartial'],index="model")['similaritypartial'].values[0]
efectivetime=time/duration
return ({"model":model,"duration":duration,"time":time,"similarity":similarity,"similaritypartial":similaritypartial,"efectivetime":efectivetime})
def html_getmetricvoice():
models=list()
for row in db().select(db.analitic_voice.model, distinct=True):
models.append(row.model)
data={}
for model in models:
data[model]=getmetricvoice(model)
data=pd.DataFrame(data).T
datafiles={}
for row in db().select(db.analitic_voice.ALL):
datafiles[row.id]=row.as_dict()
datafiles=pd.DataFrame(datafiles).T
html="""
<taipy:table>{data_voice}</taipy:table>
<taipy:table filter=True>{data_files_voice}</taipy:table>
"""
return html,data,datafiles
html_page_getmetricsvoice,data_voice,data_files_voices=html_getmetricvoice()
mode="voice"
modetypedata="audio"
file="id2"
def changemenu(mode):
if mode_list[mode]=="audio":
pathori="example/audio"
if mode_list[mode]=="factura":
pathori="example/factura"
if mode_list[mode]=="texto":
pathori="example/texto"
seltypedata=mode_list[mode]
dir_list = os.listdir(pathori)
return pathori,seltypedata,dir_list
def trustedallhtml(mode):
pathori,seltypedata,dir_list=changemenu(mode)
textmode=""
for modeused in mode_list.keys():
textmode=textmode+"('%s','%s'),"%(modeused,modeused)
html="""<taipy:selector lov="{[%s]}" dropdown True on_change=changemenu>{sel}</taipy:selector>"""%(textmode)
Sal=""
for i in dir_list:
temp="""('%s', '%s'),"""%(str(pwd+"/"+pathori+"/"+i),str(i))
Sal=Sal+temp
html2="""<taipy:selector lov="{[%s]}" dropdown True >{sel2}</taipy:selector>"""%(Sal)
return html+html2
html_page_trustedall = Html(trustedallhtml(mode))
#print(sel,sel2,seltypedata)
HTML = os.path.join(pwd,"html", "index.html")
file_read = codecs.open(HTML, "r", "utf-8")
index = file_read.read()
html_page_index = Html(index)
data=pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})
pages = {
"/": html_page_index ,
"getmetricsvoice": Html(html_page_getmetricsvoice),
"trustedall":html_page_trustedall
}
app = Gui(pages=pages)
if __name__=="__main__":
app.run(use_reloader=True,port=7882, change_delay=1600)#state.imageActive2,

0
html/getmetricsvoice.html Normal file
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22
html/index.html Normal file
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@ -0,0 +1,22 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>CIDITEL AI Playground</title>
<link rel="stylesheet" tyle="text-decoration: none;" href="https://cdn.jsdelivr.net/npm/bulma@0.9.4/css/bulma.min.css">
<link rel="stylesheet" tyle="text-decoration: none;" href="https://fonts.googleapis.com/css2?family=Material+Symbols+Outlined:opsz,wght,FILL,GRAD@24,400,0,0" />
<link rel="shortcut icon" tyle="text-decoration: none;" href="statics/icons/favicon.svg" type="image/x-icon">
<link rel="stylesheet" tyle="text-decoration: none;" href="statics/css/style.css">
<link rel="stylesheet" tyle="text-decoration: none;" href="statics/css/media-queries.css">
<link rel="preconnect" tyle="text-decoration: none;" href="https://fonts.googleapis.com">
<link rel="preconnect" tyle="text-decoration: none;" href="https://fonts.gstatic.com" crossorigin>
<link tyle="text-decoration: none;" href="https://fonts.googleapis.com/css2?family=Kanit:ital,wght@0,100;0,200;0,300;0,400;0,500;0,600;0,700;0,800;0,900;1,100;1,200;1,300;1,400;1,500;1,600;1,700;1,800;1,900&display=swap" rel="stylesheet">
</head>
<body>
<taipy:table>{data}</taipy:table>
</body>
</html>

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requirements.txt Normal file
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aiohttp==3.9.5
aiosignal==1.3.1
aniso8601==9.0.1
annotated-types==0.7.0
anyio==4.4.0
apispec==6.4.0
apispec-webframeworks==1.0.0
arrow==1.3.0
attrs==23.2.0
audioread==3.0.1
Automat==22.10.0
bidict==0.23.1
binaryornot==0.4.4
blinker==1.8.2
boto3==1.34.34
botocore==1.34.150
certifi==2024.2.2
chardet==5.2.0
charset-normalizer==3.3.2
click==8.1.7
constantly==23.10.4
cookiecutter==2.5.0
datasets==2.19.1
deepdiff==6.7.1
dill==0.3.8
dnspython==2.6.1
email_validator==2.2.0
et-xmlfile==1.1.0
evaluate==0.4.2
fastapi==0.111.0
fastapi-cli==0.0.4
filelock==3.14.0
Flask==3.0.2
Flask-Cors==4.0.0
Flask-RESTful==0.3.10
Flask-SocketIO==5.3.6
frozenlist==1.4.1
fsspec==2024.3.1
fuzzywuzzy==0.18.0
gevent==23.9.1
gevent-websocket==0.10.1
gitignore_parser==0.1.11
greenlet==3.0.3
h11==0.14.0
httpcore==1.0.5
httptools==0.6.1
httpx==0.27.0
huggingface-hub==0.23.2
hyperlink==21.0.0
idna==3.7
incremental==24.7.2
itsdangerous==2.2.0
Jinja2==3.1.4
jmespath==1.0.1
kthread==0.2.3
Levenshtein==0.25.1
Markdown==3.5.2
markdown-it-py==3.0.0
MarkupSafe==2.1.5
marshmallow==3.20.2
mdurl==0.1.2
multidict==6.0.5
multiprocess==0.70.16
mutagen==1.47.0
networkx==3.2.1
numpy==1.26.4
openpyxl==3.1.2
ordered-set==4.1.0
orjson==3.10.6
packaging==24.0
pandas==2.2.0
passlib==1.7.4
pyarrow==15.0.0
pyarrow-hotfix==0.6
pydal==20240713.1
pydantic==2.8.2
pydantic_core==2.20.1
Pygments==2.18.0
pymongo==4.6.1
python-dateutil==2.9.0.post0
python-dotenv==1.0.1
python-engineio==4.9.1
python-Levenshtein==0.25.1
python-multipart==0.0.9
python-slugify==8.0.4
python-socketio==5.11.3
pytz==2023.3.post1
PyYAML==6.0.1
rapidfuzz==3.9.4
requests==2.32.3
rich==13.7.1
s3transfer==0.10.2
shellingham==1.5.4
simple-websocket==1.0.0
six==1.16.0
sniffio==1.3.1
SQLAlchemy==2.0.25
starlette==0.37.2
taipy==3.1.1
taipy-config==3.1.1
taipy-core==3.1.1
taipy-gui==3.1.4
taipy-rest==3.1.1
taipy-templates==3.1.1
text-unidecode==1.3
toml==0.10.2
tqdm==4.66.4
Twisted==23.10.0
typer==0.12.3
types-python-dateutil==2.9.0.20240316
typing_extensions==4.12.0
tzdata==2024.1
tzlocal==5.2
ujson==5.10.0
urllib3==2.2.1
uvicorn==0.30.1
uvloop==0.19.0
watchfiles==0.22.0
websockets==12.0
Werkzeug==3.0.3
wsproto==1.2.0
xxhash==3.4.1
yarl==1.9.4
zope.event==5.0
zope.interface==6.4.post2