Create main.py

main.py

@@ -0,0 +1,26 @@
+import whisper
+
+
+
+def whisper_(input_audio):
+    model = whisper.load_model("medium")
+    
+    # load audio and pad/trim it to fit 30 seconds
+    audio = whisper.load_audio(input_audio)
+    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, n_mels=model.dims.n_mels).to(model.device)
+    
+    # detect the spoken language
+    _, probs = model.detect_language(mel)
+    print(f"Detected language: {max(probs, key=probs.get)}")
+    
+    # decode the audio
+    options = whisper.DecodingOptions()
+    result = whisper.decode(model, mel, options)
+    # print the recognized text
+    
+    text_result = result.text
+    return text_result
+    
+