Update app.py

app.py

@@ -1,20 +1,53 @@
 from transformers import pipeline
-asr_pipe = pipeline("automatic-speech-recognition", model="Abdullah17/whisper-small-urdu")
-from difflib import SequenceMatcher
+import soundfile as sf
 
-# List of commands
+# Load ASR model
+asr_model = "Abdullah17/whisper-small-urdu"
+asr_pipe = pipeline("automatic-speech-recognition", model=asr_model)
+
+# Rest of your code
 commands = [
     "نمائندے ایجنٹ نمائندہ",
-    "  سم  ایکٹیویٹ ",
-    " سم  بلاک بند ",
+    "سم ایکٹیویٹ",
+    "سم بلاک بند",
     "موبائل پیکیجز انٹرنیٹ پیکیج",
-    " چالان جمع ",
-    " گانا سنانا"
+    "چالان جمع",
+    "گانا سنانا"
 ]
-# replies = [
-# 1,2,
+
+# Function to transcribe the command from audio
+def transcribe_the_command(audio_list):
+    transcriptions = []
+    
+    # Process each audio in the batch
+    for audio_data, sample_rate in audio_list:
+        file_name = "recorded_audio.wav"
+        sf.write(file_name, audio_data, sample_rate)
+        
+        # Convert stereo to mono by averaging the two channels
+        transcript = asr_pipe(file_name)[0]["text"]
+        most_similar_command, reply = find_most_similar_command(transcript, commands)
+        
+        transcriptions.append((transcript, most_similar_command, reply))
+    
+    return transcriptions
+# from transformers import pipeline
+# asr_pipe = pipeline("automatic-speech-recognition", model="Abdullah17/whisper-small-urdu")
+# from difflib import SequenceMatcher
+
+# # List of commands
+# commands = [
+#     "نمائندے ایجنٹ نمائندہ",
+#     "  سم  ایکٹیویٹ ",
+#     " سم  بلاک بند ",
+#     "موبائل پیکیجز انٹرنیٹ پیکیج",
+#     " چالان جمع ",
+#     " گانا سنانا"
 # ]
-# Function to find the most similar command
+# # replies = [
+# # 1,2,
+# # ]
+# # Function to find the most similar command
 def find_most_similar_command(statement, command_list):
     best_match = None
     highest_similarity = 0
@@ -29,21 +62,7 @@ def find_most_similar_command(statement, command_list):
         i+=1
 
     return best_match,reply
-def transcribe_the_command(audio):
-      import soundfile as sf
-      sample_rate, audio_data = audio
-      file_name = "recorded_audio.wav"
-      sf.write(file_name, audio_data, sample_rate)
-    # Convert stereo to mono by averaging the two channels
-      print(file_name)
-
-      transcript = asr_pipe(file_name)["text"]
-      most_similar_command,reply = find_most_similar_command(transcript, commands)
-      print(f"Given Statement: {transcript}")
-      print(f"Most Similar Command: {most_similar_command}\n")
-      print(reply)
-    
-      return reply
+# x
 # get_text_from_voice("urdu.wav")
 import gradio as gr