Update app.py

app.py

@@ -2,7 +2,7 @@ from transformers import pipeline
 asr_pipe = pipeline("automatic-speech-recognition", model="Abdullah17/whisper-small-urdu")
 from difflib import SequenceMatcher
 import json
-with open("tasks.json", "r") as json_file:
+with open("tasks.json", "r", encoding="utf-8") as json_file:
     urdu_data = json.load(json_file)
 # List of commands
 # commands = [
@@ -33,7 +33,7 @@ def find_most_similar_command(statement, command_list):
     return best_match,reply
 def transcribe_the_command(audio,id):
       import soundfile as sf
-      commands=urdu_data[0]
+      commands=urdu_data[id]
       print(commands)
       sample_rate, audio_data = audio
       file_name = "recorded_audio.wav"