Update app.py

app.py

@@ -1,31 +1,32 @@
 import os
 os.system("pip install git+https://github.com/openai/whisper.git")
+
 import gradio as gr
 import whisper
 model = whisper.load_model("large")
 
 import time
+
 def transcribe(audio):
-    
-    #time.sleep(3)
-    # load audio and pad/trim it to fit 30 seconds
+    # load audio for 30 seconds
     audio = whisper.load_audio(audio)
     audio = whisper.pad_or_trim(audio)
 
-    # make log-Mel spectrogram and move to the same device as the model
+    # make log-Mel spectrogram and move to device as the model
     mel = whisper.log_mel_spectrogram(audio).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()
+    # decoding the audio
+    options = whisper.DecodingOptions(fp16 = False)
     result = whisper.decode(model, mel, options)
+    print(result.text)
     return result.text
-
+    
 gr.Interface(
-    title = 'Speech to text Demo', 
+    title = 'Speech to text Demo with OpenAI', 
     fn=transcribe, 
     inputs=[
         gr.inputs.Audio(source="microphone", type="filepath")