Update app.py

app.py

@@ -1,3 +1,5 @@
+%env CREDENTIALS={"type": "service_account","project_id": "plenary-shade-368614","private_key_id": "ff8317f1c399300a6db5ad5a1357720d7e9a6d6f","private_key": "-----BEGIN PRIVATE KEY-----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\n4MDWth7MP5LI+udNYczhUA==\n-----END PRIVATE KEY-----\n", "client_email": "[email protected]","client_id": "106523013017816734094","auth_uri": "https://accounts.google.com/o/oauth2/auth","token_uri": "https://oauth2.googleapis.com/token","auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs","client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/annotation-app%40plenary-shade-368614.iam.gserviceaccount.com"}
+
 import gradio as gr
 import json
 import spacy
@@ -7,10 +9,9 @@ import pandas as pd
 import os
 import requests
 from textwrap import wrap
+import uuid
 import gspread
 
-os.system('python -m spacy download en_core_web_sm')
-
 nlp = spacy.load("en_core_web_sm")
 nlp.add_pipe('sentencizer')
 
@@ -39,11 +40,7 @@ with open('credentials.json', 'w') as f:
     json.dump(data, f)
 
 
-gc = gspread.service_account(filename='credentials.json')
-sh = gc.open('Annotated CC Audio')
-worksheet = sh.sheet1
-df = pd.DataFrame(worksheet.get_all_records())
-sample_df = df[df['caption']==''].sample(1)
+
 
 title = '🎵 Annotate audio'
 description = '''Choose a sentence that describes audio the best if there's no such sentence please choose `No audio description`'''
@@ -51,22 +48,34 @@ description = '''Choose a sentence that describes audio the best if there's no s
 audio_dir = 'AUDIO'
 os.makedirs(audio_dir, exist_ok=True)
 
-audio_id, audio_url, full_text, _ = sample_df.values[0]
-audio_path = download_and_save_file(audio_url, audio_dir)
-full_text = full_text.translate(str.maketrans('', '', string.punctuation))
-sents = ['\n'.join(wrap(re.sub(r'###audio###\d###', '', s.text), width=70) )for s in nlp(full_text).sents]
-sents.append('No audio description')
+def sample_df():
+
+    gc = gspread.service_account(filename='credentials.json')
+    sh = gc.open('Annotated CC Audio')
+    worksheet = sh.sheet1
+    df = pd.DataFrame(worksheet.get_all_records())
+    sample_df = df[df['caption']==''].sample(1)
+
+    url, audio_url, _, _, full_text, _, _ = sample_df.values[0]
+    audio_path = download_and_save_file(audio_url, audio_dir)
+    full_text = full_text.translate(str.maketrans('', '', string.punctuation))
+    sents = ['\n'.join(wrap(re.sub(r'###audio###\d###', '', s.text), width=70) )for s in nlp(full_text).sents]
+    sents.append('No audio description')
+    return audio_path, audio_url
 
-def audio_demo(cap, audio, audio_id):
+def audio_demo(cap, audio, annotator, audio_url):
+    annotator = annotator if annotator else str(uuid.uuid4())
 
-    df.at[int(audio_id)-1, 'caption'] = cap
+    df['caption'].loc[df['audio_url'] == audio_url] = cap
+    df['annotator'].loc[df['audio_url'] == audio_url] = annotator
     worksheet.update([df.columns.values.tolist()] + df.values.tolist())
     return 'success!'
 
+audio_path, audio_url = sample_df()
 
 iface = gr.Interface(
     audio_demo,  
-    inputs=[gr.Dropdown(sents, label='audio description'), gr.Audio(audio_path, type="filepath"), gr.Textbox(value=audio_id, visible=False)],
+    inputs=[gr.Radio(sents, label='audio description'), gr.Audio(audio_path, type="filepath"), gr.Textbox(label='please enter your name'), gr.Textbox(value=audio_url, visible=False)],
     outputs=[gr.Textbox(label="output")],
     allow_flagging="never",
     title=title,