Update app.py

app.py

@@ -5,13 +5,20 @@ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 from gtts import gTTS
 
 def translate_voice(file, target_lang):
-    # Auto to text (STT) 
-    model = whisper.load_model("base")
-    audio = whisper.load_audio(file.name)
+    # Load the model and switch to float32
+    model = whisper.load_model("base").float()
+
+# Load the audio
+    audio = whisper.load_audio(from_file)
+
+# Pad or trim the audio
     audio = whisper.pad_or_trim(audio)
-    mel = whisper.log_mel_spectrogram(audio).to(model.device).float() 
-    _, probs = model.detect_language(mel)
 
+# Convert the audio to a log Mel spectrogram and move it to the same device as the model (CPU in your case)
+    mel = whisper.log_mel_spectrogram(audio).to(model.device).float()  # convert to full-precision float32
+
+# Proceed with your language detection and decoding
+    _, probs = model.detect_language(mel)
     options = whisper.DecodingOptions()
     result = whisper.decode(model, mel, options)