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afro-speech

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chrisjay commited on May 10, 2022

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694e002

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1 Parent(s): 52064f2

test with states

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app.py +109 -64

app.py CHANGED Viewed

@@ -2,83 +2,133 @@ import os
 import csv
 import pandas as pd
 import gradio as gr
-import huggingface_hub
 import scipy.io.wavfile as wavf
-from huggingface_hub import Repository
 HF_TOKEN = os.environ.get("HF_TOKEN")
 DATASET_REPO_URL = "https://huggingface.co/datasets/chrisjay/crowd-speech-africa"
-DATA_FILENAME = "data.csv"
-AUDIO_PATH = os.path.join("data",'wav')
-DATA_FILE = os.path.join("data", DATA_FILENAME)
 # Get a dropdown of all African languages
-DEFAULT_LANGS = {'Igbo':'ibo','Yoruba':'yor','Hausa':'hau'}
 repo = Repository(
     local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
 )
 repo.git_pull()
-os.makedirs(AUDIO_PATH,exist_ok=True)
-def push_record():
-    # Push the wav to a folder and reference the location
-    commit_url = repo.push_to_hub()
-    output = f'Recordings successfully pushed!'
-    output_string = "<html> <body> <div class='output' style='color:green; font-size:13px'>"+output+"</div> </body> </html>"
-    return output_string
-def save_record(language,text,record):
     # Save text and its corresponding record to flag
-    if language!=None and language!='Choose language' and record is not None:
         lang_id = DEFAULT_LANGS[language]
         text =text.strip()
         # Write audio to file
-        audio_output_filename = os.path.join(AUDIO_PATH,f'{len(os.listdir(AUDIO_PATH))}.wav')
-        import pdb; pdb.set_trace()
         wavf.write(audio_output_filename,record[0],record[1])
-        if not os.path.exists(DATA_FILE):
-            # Add header (necessary for listen)
-            with open(DATA_FILE, "a") as csvfile:
-                writer = csv.DictWriter(csvfile, fieldnames=["language", "audio","text"])
-                writer.writeheader()
-        with open(DATA_FILE, "a") as csvfile:
-            writer = csv.DictWriter(csvfile, fieldnames=["language", "audio","text"])
-            writer.writerow(
-                {"language": lang_id, "audio": audio_output_filename,"text": text}
-            )
-        output = f'Recording successfully saved! Click `Push` when you are done to send your recordings to the repo.'
     if record is None:
         output="No recording found!"
     if language is None or language=='Choose language':
         output = 'Language must be specified!'
     output_string = "<html> <body> <div class='output' style='color:green; font-size:13px'>"+output+"</div> </body> </html>"
     return output_string
 def display_records():
-    df = pd.read_csv(DATA_FILE)
-    langs=df['language'].values
-    df['audio'] = df['audio'].apply(lambda x: x.replace('data/wav/','https://huggingface.co/datasets/chrisjay/crowd-speech-africa/resolve/main/wav/'))
-    audios = df['audio'].values
-    texts=df['text'].values
     html = """<div>
-                <table>
                     <tr>
                         <th>language</th>
                         <th>audio</th>
@@ -93,20 +143,17 @@ def display_records():
     html+="</table></div>"
     return html
-title = 'African Crowdsource Speech'
-description = 'A platform to contribute to your African language by recording your voice'
-markdown = """# Africa Crowdsource Speech
-### a platform to contribute to your African language by recording your voice"""
-GENDER = ['Choose Gender','Male','Female','Other','Prefer not to say']
-NUMBERS = [i for i in range(21)]
 # Interface design begins
 block = gr.Blocks()
 with block:
@@ -114,26 +161,24 @@ with block:
     with gr.Tabs():
         with gr.TabItem('Record'):
-            #with gr.Row():
-            language = gr.inputs.Dropdown(choices = list(DEFAULT_LANGS.keys()),label="Choose language",default="Choose language")
             with gr.Row():
-                name = gr.inputs.Textbox(placeholder='e.g John Doe',label="Your name")
-                gender = gr.inputs.Dropdown(choices=GENDER, type="value", default=None, label="Gender")
-                accent = gr.inputs.Textbox(label="Accent (if any)")
-            number = gr.inputs.Radio(choices=NUMBERS, type="value", default=None, label="Choose your number")
-            with gr.Row():
-                text = gr.inputs.Textbox(placeholder='e.g `one` is `otu` in Igbo or `ọkan` in Yoruba',label="Number in your language")
-                record = gr.inputs.Audio(source="microphone",label='Record your voice')
             output_result = gr.outputs.HTML()
-            with gr.Row():
-                save = gr.Button("Save")
-                push = gr.Button('Submit')
-            save.click(save_record, inputs=[language,text,record],outputs=output_result)
-            push.click(push_record, inputs=[],outputs=output_result)
         with gr.TabItem('Listen') as listen_tab:
             gr.Markdown("Listen to the recordings contributed. You can find them <a href='https://huggingface.co/datasets/chrisjay/crowd-speech-africa' target='blank'>here</a>.")

 import csv
 import pandas as pd
 import gradio as gr
+from utils import *
 import scipy.io.wavfile as wavf
+from huggingface_hub import Repository, upload_file
 HF_TOKEN = os.environ.get("HF_TOKEN")
 DATASET_REPO_URL = "https://huggingface.co/datasets/chrisjay/crowd-speech-africa"
+#DATA_FILENAME = "data.csv"
+REPOSITORY_DIR = "data"
+LOCAL_DIR = 'data_local'
+#DATA_FILE = os.path.join("data", DATA_FILENAME)
+os.makedirs(LOCAL_DIR,exist_ok=True)
 # Get a dropdown of all African languages
+#DEFAULT_LANGS = {'Igbo':'ibo','Yoruba':'yor','Hausa':'hau'}
+GENDER = ['Choose Gender','Male','Female','Other','Prefer not to say']
+NUMBERS = [i for i in range(21)]
+#------------------Work on Languages--------------------
+DEFAULT_LANGS =   {}
+languages = read_json_lines('clean_languages.json')
+languages_lower=[l for l in languages]
+_ = [DEFAULT_LANGS.update({l['full'].lower():l['id'].lower()}) for l in languages_lower]
+#_ = [DEFAULT_LANGS.update({l_other.lower():[l['id'].lower()]}) for l in languages_lower for l_other in l['others'] if l_other.lower()!=l['full'].lower()]
+#------------------Work on Languages--------------------
 repo = Repository(
     local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
 )
 repo.git_pull()
+def save_record(language,text,record,number,age,gender,accent,number_history):
+    number_history = number_history or [0]
     # Save text and its corresponding record to flag
+    speaker_metadata={}
+    speaker_metadata['gender'] = gender if gender!=GENDER[0] else ''
+    speaker_metadata['age'] = age if age !='' else ''
+    speaker_metadata['accent'] = accent if accent!='' else ''
+    if language!=None and language!='Choose language' and record is not None and number is not None:
+        language = language.lower()
         lang_id = DEFAULT_LANGS[language]
         text =text.strip()
         # Write audio to file
+        audio_name = get_unique_name()
+        SAVE_FILE_DIR = os.path.join(LOCAL_DIR,audio_name)
+        os.makedirs(SAVE_FILE_DIR,exist_ok=True)
+        audio_output_filename = os.path.join(SAVE_FILE_DIR,'audio.wav')
         wavf.write(audio_output_filename,record[0],record[1])
+        # Write metadata.json to file
+        json_file_path = os.path.join(SAVE_FILE_DIR,'metadata.jsonl')
+        metadata= {'id':audio_name,'file_name':'audio.wav',
+                    'language_name':language,'language_id':lang_id,
+                    'number':number, 'text':text,'frequency':record[0],
+                    'age': speaker_metadata['age'],'gender': speaker_metadata['gender'],
+                    'accent': speaker_metadata['accent']
+                    }
+        dump_json(metadata,json_file_path)
+        # Simply upload the audio file and metadata using the hub's upload_file
+        # Upload the audio
+        repo_audio_path = os.path.join(REPOSITORY_DIR,os.path.join(audio_name,'audio.wav'))
+        _ = upload_file(path_or_fileobj = audio_output_filename,
+                    path_in_repo =repo_audio_path,
+                    repo_id='chrisjay/crowd-speech-africa',
+                    repo_type='dataset',
+                    token=HF_TOKEN
+                 )
+        # Upload the metadata
+        repo_json_path = os.path.join(REPOSITORY_DIR,os.path.join(audio_name,'metadata.jsonl'))
+        _ = upload_file(path_or_fileobj = json_file_path,
+                    path_in_repo =repo_json_path,
+                    repo_id='chrisjay/crowd-speech-africa',
+                    repo_type='dataset',
+                    token=HF_TOKEN
+                )
+        output = f'Recording successfully saved!'
+    if number is None:
+        output = "Number must be specified!"
     if record is None:
         output="No recording found!"
     if language is None or language=='Choose language':
         output = 'Language must be specified!'
     output_string = "<html> <body> <div class='output' style='color:green; font-size:13px'>"+output+"</div> </body> </html>"
+    # return output_string, next image and state
     return output_string
 def display_records():
+    repo.git_pull()
+    REPOSITORY_DATA_DIR = os.path.join(REPOSITORY_DIR,'data')
+    repo_recordings = [os.path.join(REPOSITORY_DATA_DIR,f.name) for f in os.scandir(REPOSITORY_DATA_DIR)] if os.path.isdir(REPOSITORY_DATA_DIR) else []
+    audio_repo = [os.path.join(f,'audio.wav') for f in repo_recordings]
+    audio_repo = [a.replace('data/data/','https://huggingface.co/datasets/chrisjay/crowd-speech-africa/resolve/main/data/') for a in audio_repo]
+    metadata_repo = [read_json_lines(os.path.join(f,'metadata.jsonl'))[0] for f in repo_recordings]
+    audios_all =  audio_repo
+    metadata_all = metadata_repo
+    langs=[m['language_name'] for m in metadata_all]
+    audios = [a for a in audios_all]
+    texts = [m['text'] for m in metadata_all]
     html = """<div>
+                <table style="width:100%; text-align:center">
                     <tr>
                         <th>language</th>
                         <th>audio</th>
     html+="</table></div>"
     return html
+NUMBER_DIR = './number'
+number_files = [f.name for f in os.scandir(NUMBER_DIR)]
+NUMBERS = [{'image':os.path.join(NUMBER_DIR,f),'number':int(f.split('.')[0])} for f in number_files]
+markdown = """<div style="text-align: center"><p style="font-size: 40px"> Africa Crowdsource Speech </p> <br>
+This is a platform to contribute to your African language by recording your voice </div>"""
 # Interface design begins
 block = gr.Blocks()
 with block:
     with gr.Tabs():
         with gr.TabItem('Record'):
             with gr.Row():
+                language = gr.inputs.Dropdown(choices = sorted([lang_.title() for lang_ in list(DEFAULT_LANGS.keys())]),label="Choose language",default="Choose language")
+                age = gr.inputs.Textbox(placeholder='e.g. 21',label="Your age (optional)",default='')
+                gender = gr.inputs.Dropdown(choices=GENDER, type="value", default=None, label="Gender (optional)")
+                accent = gr.inputs.Textbox(label="Accent (optional)",default='')
+            number = gr.Image('number/0.jpg',image_mode="L")
+            #number = gr.inputs.Radio(choices=NUMBERS, type="value", default=None, label="Choose your number")
+            text = gr.inputs.Textbox(placeholder='e.g. `one` is `otu` in Igbo or `ọkan` in Yoruba',label="Number in your language")
+            record = gr.inputs.Audio(source="microphone",label='Record your voice')
             output_result = gr.outputs.HTML()
+            state = gr.inputs.State()
+            save = gr.Button("Submit")
+            save.click(save_record, inputs=[language,text,record,number,age,gender,accent,state],outputs=[output_result,number,state])
         with gr.TabItem('Listen') as listen_tab:
             gr.Markdown("Listen to the recordings contributed. You can find them <a href='https://huggingface.co/datasets/chrisjay/crowd-speech-africa' target='blank'>here</a>.")