Reqs

.gitignore

@@ -8,3 +8,41 @@ databases/storage.db
 .vscode/*
 __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

apis.py

@@ -1,10 +1,10 @@
 import fastapi
 from fastapi import FastAPI, Request
-from fastapi.responses import HTMLResponse
+from fastapi.responses import HTMLResponse,JSONResponse
 from pydantic import BaseModel
 import time
 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 starlette.middleware.cors import CORSMiddleware
 import main
@@ -13,9 +13,23 @@ from databases import db
 import audioread
 import pandas as pd
 import statistics
+import hashlib
+from datetime import datetime
+import json
 pwd = os.getcwd()
 pathAud="example/audio"
 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.mount("/statics", StaticFiles(directory="statics"), name="statics")
 app.add_middleware(
@@ -30,7 +44,6 @@ class Response(BaseModel):
     """Structure of data to querry of make post from X or article blog
     """
     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")
 class Response1(BaseModel):
     path: str = Query("", description="path file")
@@ -55,29 +68,177 @@ class Response3(BaseModel):
     Trusted: str = Query("", description="Style and sentiments of text")
     mode : str = Query("whisper", description="Style and sentiments of text")
 
-
+#Funcionales
 @app.get("/addTrusted")
 @app.post("/addTrusted")
 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
     Trusted=response.Trusted
     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)
         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: 
             duration = f.duration
-    else:
-        duration = 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 )
+            length=0
+            size=0
+
+    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()
         return "Add %s in mode %s"%(path,mode)
     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()
         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):
     html="""<h2>Table of {0}</h2>
 <table style="width:100%">
@@ -223,30 +384,6 @@ display:flex;
     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.post("/EvalFact")
@@ -290,91 +427,6 @@ def EvalLLMFact(response:Response2):
     Sal=main.EvalllmFacturas(path,task_prompt,system,content,max_tokens,model,prompt,TrustedLLmjson)
     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")

databases.py

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

gui.py

@@ -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,

html/index.html

@@ -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>

requirements.txt

@@ -0,0 +1,125 @@
+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