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afro-speech

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chrisjay commited on Apr 28, 2022

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391decb

1 Parent(s): b829e6a

app.py with blocks

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README.md +1 -1
app.py +82 -15
data +1 -0
gradio_queue.db +0 -0
requirements.txt +1 -0

README.md CHANGED Viewed

@@ -4,7 +4,7 @@ emoji: 💻
 colorFrom: indigo
 colorTo: blue
 sdk: gradio
-sdk_version: 2.9.4
 app_file: app.py
 pinned: false
 ---

 colorFrom: indigo
 colorTo: blue
 sdk: gradio
+sdk_version: 2.9.0b8
 app_file: app.py
 pinned: false
 ---

app.py CHANGED Viewed

@@ -1,46 +1,113 @@
 import os
 import gradio as gr
-#HF_TOKEN = os.environ.get("HF_TOKEN")
-#print("is none?", HF_TOKEN is None)
 # Get a dropdown of all African languages
 DEFAULT_LANGS = {'Igbo':'ibo','Yoruba':'yor','Hausa':'hau'}
-def get_record(language,text,record):
     # Save text and its corresponding record to flag
     if language!=None and language!='Choose language':
         lang_id = DEFAULT_LANGS[language]
         text =text.strip()
-        output = f'Recording successfully saved to dataset! Thank You.'+'\n'+f'(Text: <i>{text}</i>, language: {lang_id}).'
     else:
         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
 title = 'African Crowdsource Speech'
 description = 'A platform to contribute to your African language by recording your voice'
-markdown = """African Crowdsource Speech: a platform to contribute to your African language by recording your voice"""
 # Interface design begins
 block = gr.Blocks()
 with block:
     gr.Markdown(markdown)
-    #with gr.Tab('version1'):
-    #with gr.Row():
-    language = gr.inputs.Dropdown(choices = list(DEFAULT_LANGS.keys()),label="language",default="Choose language")
-    text = gr.inputs.Textbox(placeholder='Write your text',label="text to record")
-    record = gr.inputs.Audio(source="microphone",label='Record your voice')
-    output_result = gr.outputs.HTML()
-    save = gr.Button("Save")
-    save.click(get_record, inputs=[language,text,record],outputs=output_result)
 block.launch(enable_queue=True)

 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
+from IPython.display import Audio
+from IPython.core.display import display
+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':
         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')
+        wavf.write(audio_output_filename,record[0],record[1])
+        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.'
     else:
         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)
+    #df['audio'] = df['audio'].apply(lambda x: display(Audio(x,autoplay=True)))
+    langs=df['language'].values
+    audios = df['audio'].values
+    texts=df['text'].values
+    return langs[0],audios[0],texts[0]
+    #return df
 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"""
 # Interface design begins
 block = gr.Blocks()
 with block:
     gr.Markdown(markdown)
+    with gr.Tabs():
+        with gr.TabItem('Record'):
+            #with gr.Row():
+            language = gr.inputs.Dropdown(choices = list(DEFAULT_LANGS.keys()),label="language",default="Choose language")
+            text = gr.inputs.Textbox(placeholder='Write your text',label="text to record")
+            record = gr.inputs.Audio(source="microphone",label='Record your voice')
+            output_result = gr.outputs.HTML()
+            save = gr.Button("Save")
+            push = gr.Button('Push')
+            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 [here](https://huggingface.co/datasets/chrisjay/crowd-speech-africa).")
+            listen = gr.Button("Listen")
+            listen.click(display_records,inputs=[],outputs =[gr.outputs.Textbox(label='language'),gr.outputs.Audio(),gr.outputs.Textbox(label='text')] )
 block.launch(enable_queue=True)

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1	+ Subproject commit f894808a582c943f6f7c034bf2cef6f37a202d34

gradio_queue.db ADDED Viewed

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requirements.txt CHANGED Viewed

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1	+ pandas