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import gradio as gr
import pandas as pd
import librosa
import os
import numpy as np
from datasets import Dataset, DatasetDict
from datasets import load_dataset
class DataEditor:
def __init__(self,df):
self.df=df
self.current_selected = -1
self.current_page = 0
self.datatable =df
self.data =self.df[['text','flag']]
self.sdata =self.df['audio'].to_list()
def settt(self,df):
self.df=pd.DataFrame()
self.data =pd.DataFrame()
self.sdata =[]
self.df=df
self.next_prveo=0
self.data =self.df[['text','flag']]
self.sdata =self.df['audio'].to_list()
self.current_page = 0
self.current_selected =1
return self.data
def get_prev_page(self,pagenumber):
if self.next_prveo>=0:
self.next_prveo-=1
self.current_page=self.next_prveo
row = self.data.iloc[self.next_prveo]
txt_audio = row['text']
return txt_audio
def finsh_data(self):
self.df['audio'] = self.sdata
self.df[['text','flag']]=self.data
return self.df
def login(self, token):
# Your actual login logic here (e.g., database check)
if token == os.environ.get("token_login") :
return gr.update(visible=False),gr.update(visible=True),True
else:
return gr.update(visible=True), gr.update(visible=False),None
def load_demo(self,sesion):
if sesion:
return gr.update(visible=False),gr.update(visible=True)
return gr.update(visible=True), gr.update(visible=False)
def get_next_page(self,pagenumber):
if self.next_prveo<9:
self.next_prveo+=1
self.current_page=self.next_prveo
row = self.data.iloc[self.next_prveo]
txt_audio = row['text']
return txt_audio
def get_page_data(self, page_number):
start_index = page_number * 10
end_index = start_index + 10
return self.data.iloc[start_index:end_index]
def update_page(self, new_page):
self.current_page = new_page
return (
self.get_page_data(self.current_page),
self.current_page > 0,
self.current_page < len(self.data) // 10 - 1,
self.current_page
)
def convert_dataframe_to_dataset(self, namedata):
datatable=self.finsh_data()
if "__index_level_0__" in datatable.columns:
datatable =datatable.drop(columns=["__index_level_0__"])
train_df =datatable
ds = {
"train": Dataset.from_pandas(train_df)
}
dataset = DatasetDict(ds)
#dirr = '/content/drive/MyDrive/vitsM/DATA/sata/NewData2hba/' + namedata
#dataset.save_to_disk(dirr)
dataset.push_to_hub(namedata,token=os.environ.get("auth_acess_data"),private=True)
return namedata
def read_dataset(self, link):
try:
dataset =load_dataset(link,token=os.environ.get("auth_acess_data"))
df= dataset["train"].to_pandas()
v=self.settt(df)
return self.get_page_data(self.current_page),link
except FileNotFoundError:
return None, f"Error: Dataset not found at {link}"
except Exception as e:
return None, f"Error loading dataset: {e}"
def on_select(self,evt:gr.SelectData):
if evt.index:
index_now = evt.index[0]
self.current_selected = (self.current_page * 10) + index_now
row = self.data.iloc[self.current_selected]
txt_audio = row['text']
row_audio = self.sdata[self.current_selected]
if row['flag'] !=0:
return txt_audio,(44100,row_audio)
else :
return txt_audio,None
else:
return None," "
def on_saveAs_row(self):
return self.get_page_data(self.current_page),None,""
def on_row_save(self, text,data_oudio):
if text!="" and data_oudio is not None:
row = self.data.iloc[self.current_selected]
#row['text'] = text
row['flag']=1
self.data.iloc[self.current_selected] = row
sr,audio_array=data_oudio
self.sdata[self.current_selected] =audio_array
return "",None
def on_row_delete(self):
if self.current_selected>=0:
row = self.data.iloc[self.current_selected]
#row['text'] = text
row['flag']=0
self.data.iloc[self.current_selected] = row
self.sdata[self.current_selected] = None
return self.get_page_data(self.current_page),None,""
def startt(self):
with gr.Blocks() as demo:
sesion_state = gr.State()
with gr.Column(scale=1, min_width=200,visible=True) as login_panal: # Login panel
gr.Markdown("## auth acess page")
token_login = gr.Textbox(label="token")
login_button = gr.Button("Login")
with gr.Column(scale=1, visible=False) as main_panel:
self.create_interface()
login_button.click(self.login, inputs=[token_login], outputs=[login_panal,main_panel,sesion_state])
demo.load(self.load_demo, [sesion_state], [login_panal,main_panel])
return demo
def create_interface(self):
# with gr.Blocks() as demo:
with gr.Column():
self.txturll = gr.Textbox(placeholder="link dir", interactive=True)
self.btn_displayy = gr.Button("Load Dataset")
with gr.Row():
with gr.Column():
self.table = gr.Dataframe(value=self.datatable, headers=['text', 'audio'], interactive=True)
with gr.Row(equal_height=False):
self.prev_button = gr.Button("Previous Page",scale=1, size="sm")
self.page_number = gr.Number(value=self.current_page + 1, label="Page",scale=1)
self.next_button = gr.Button("Next Page",scale=1, size="sm")
with gr.Column():
self.txtsaveurl = gr.Textbox(placeholder="Save Dataset", interactive=True)
self.btn_savedataset = gr.Button("Save Dataset")
self.label =gr.Text("STATE")
with gr.Column():
self.txt_audio = gr.Textbox(label="Audio Text", interactive=True,rtl=True)
self.btn_record = gr.Audio(interactive=True)
with gr.Row():
self.btn_save = gr.Button("Save")
self.btn_saveAs = gr.Button("SaveAs")
# self.buttonnext=gr.Button("Next")
# self.buttonprev=gr.Button("Prev")
self.btn_delete = gr.Button("Delete")
self.btn_displayy.click(self.read_dataset, [self.txturll], [self.table, self.txtsaveurl])
self.table.select(self.on_select, None,[self.txt_audio,self.btn_record])
self.btn_save.click(self.on_row_save, [self.txt_audio,self.btn_record],[self.txt_audio,self.btn_record])
self.btn_saveAs.click(self.on_saveAs_row, [], [self.table, self.txt_audio, self.label])
self.btn_delete.click(self.on_row_delete, [], [self.table, self.txt_audio, self.label])
#self.buttonnext.click(lambda page:self.get_next_page(page+1), [self.page_number], [self.txt_audio])
#self.buttonprev.click(lambda page:self.get_prev_page(page-1), [self.page_number], [self.txt_audio])
self.btn_savedataset.click(self.convert_dataframe_to_dataset, [self.txtsaveurl], [self.label])
self.prev_button.click(lambda page: self.update_page(page - 1), [self.page_number], [self.table, self.prev_button, self.next_button, self.page_number])
#self.btn_save.click(self.save_row, [self.txt_audio,self.audio_player], [self.data_table])
self.next_button.click(lambda page: self.update_page(page + 1), [self.page_number], [self.table, self.prev_button, self.next_button, self.page_number])
#demo.launch()
df1=pd.DataFrame(columns=['text','flag','audio'])
editor = DataEditor(df1)
demo=editor.startt()
demo.launch() |