ASG Models commited on
Commit
948e406
1 Parent(s): ff11af3

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +7 -6
app.py CHANGED
@@ -7,7 +7,8 @@ import os
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  import gradio as gr
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  import re
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  from gradio.themes.base import Base
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-
 
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  def Read_DataSet(link):
@@ -23,7 +24,8 @@ def remove_nn(wav, sample_rate=16000):
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  save_audio("enhanced.wav", enhanced, df_state.sr())
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  audiodata, samplerate = librosa.load("enhanced.wav", sr=16000)
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  return 16000, audiodata
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- from datasets import load_dataset
 
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  class DataViewerApp:
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  def __init__(self,df):
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  #df=Read_DataSet(link)
@@ -224,7 +226,7 @@ class DataViewerApp:
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  df =df.drop(columns=["__index_level_0__"])
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  train_df =df
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- eval_df =df.sample(1,random_state=42)
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  ds = {
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  "train": Dataset.from_pandas(train_df)
@@ -232,9 +234,8 @@ class DataViewerApp:
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  }
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  dataset = DatasetDict(ds)
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- dirr='/content/drive/MyDrive/vitsM/DATA/sata/'+namedata
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- dataset.push_to_hub(self.link_dataset,token=os.environ.get("auth_acess_data"))
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- return dirr
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  def delete_row(self):
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  import gradio as gr
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  import re
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  from gradio.themes.base import Base
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+ from datasets import load_dataset
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+ from datasets import Dataset,DatasetDict
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  def Read_DataSet(link):
 
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  save_audio("enhanced.wav", enhanced, df_state.sr())
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  audiodata, samplerate = librosa.load("enhanced.wav", sr=16000)
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  return 16000, audiodata
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+
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+
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  class DataViewerApp:
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  def __init__(self,df):
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  #df=Read_DataSet(link)
 
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  df =df.drop(columns=["__index_level_0__"])
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  train_df =df
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+
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  ds = {
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  "train": Dataset.from_pandas(train_df)
 
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  }
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  dataset = DatasetDict(ds)
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+ dataset.push_to_hub(namedata,token=os.environ.get("auth_acess_data"))
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+ return namedata
 
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  def delete_row(self):
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