Update app.py

app.py

@@ -32,7 +32,7 @@ import torchaudio
 from speechbrain.pretrained import SpectralMaskEnhancement
 
 import whisper
-model = whisper.load_model("tiny")
+model1 = whisper.load_model("tiny")
 
 import openai
 
@@ -133,15 +133,15 @@ def greet(Text2, audio, Voicetoclone,VoiceMicrophone):
     audio = whisper.pad_or_trim(audio)
 
     # make log-Mel spectrogram and move to the same device as the model
-    mel = whisper.log_mel_spectrogram(audio).to(model.device)
+    mel = whisper.log_mel_spectrogram(audio).to(model1.device)
 
     # detect the spoken language
-    _, probs = model.detect_language(mel)
+    _, probs = model1.detect_language(mel)
     print(f"Detected language: {max(probs, key=probs.get)}")
 
     # decode the audio
     options = whisper.DecodingOptions()
-    result = whisper.decode(model, mel, options)
+    result = whisper.decode(model1, mel, options)
     res.append(result.text)
 
     messages = mes