Adding all sample audios

app.py

@@ -8,7 +8,7 @@ import csv
 st.header("Practice Section")
 
 # Replace this with the directory containing the sample audio files
-PRACTICE_AUDIO_DIR = './sample_audios2/'
+PRACTICE_AUDIO_DIR = 'audio/'
 
 # Replace this with the excel file (converted to csv) that contains the answers.
 practice_data = pd.read_csv('practice-quiz.csv')

sample_audios2/get_sample_audios.py

@@ -0,0 +1,46 @@
+import pandas as pd
+import json
+import os
+from subprocess import call
+from tqdm import tqdm
+
+
+train_path = '/home/mila/c/chris.emezue/naijavoices-research/abraham/data/train.csv'
+AUDIO_DIR = '/home/mila/c/chris.emezue/scratch/naijavoices-data/naijavoices-dataset-compressed/audio-unconverted'
+DESTINATION_AUDIO_PATH = '/home/mila/c/chris.emezue/naijavoices-research/sample_audios'
+df_train = pd.read_csv(train_path)
+
+def get_sample_audios_per_language(df,language: str,n_sample: int=30):
+    df_language = df[df['language']==language]
+    df_sampled = df_language.sample(n = n_sample)
+    audio_paths = df_sampled['audio'].values.tolist()
+    transcripts = df_sampled['text'].values.tolist()
+    audio_paths = [(os.path.join(AUDIO_DIR,a),t,language) for t,a in zip(transcripts,audio_paths)]
+    return audio_paths
+
+ig_samples = get_sample_audios_per_language(df_train,'igbo')
+yo_samples = get_sample_audios_per_language(df_train,'yoruba')
+ha_samples = get_sample_audios_per_language(df_train,'hausa')
+
+all_samples = ig_samples + yo_samples + ha_samples
+
+breakpoint()
+def copy_files(file,transcript,language):
+    audio_path_copy_to = os.path.join(DESTINATION_AUDIO_PATH,language)
+    basename = os.path.basename(file)
+    copy_to_audio_path = os.path.join(audio_path_copy_to,basename)
+    cmd = ['cp', file, copy_to_audio_path]
+    call(cmd)
+
+
+for sample in tqdm(all_samples,desc='Copying files...'):
+    copy_files(sample[0],sample[1],sample[2])
+
+
+
+audio_names = [os.path.basename(a[0]) for a in all_samples]
+texts = [a[1] for a in all_samples]
+langs = [a[2] for a in all_samples]
+
+df = pd.DataFrame({'audio':audio_names,'transcript':texts,'language':langs})
+df.to_csv('sample_audios.csv',index=False)