Update app.py

app.py

@@ -4,31 +4,24 @@ import shutil
 import tempfile
 import os
 
-# vocabolario_LOUD = os.environ.get("VOCABOLARIO_LOUD")
+vocabolario_LOUD = os.environ.get("VOCABOLARIO_LOUD")
 open_ai_key = os.environ.get("OPEN_AI_KEY")
 openai.api_key = open_ai_key
 
-def transcribe(audio):
+def transcribe(audio_file_path):
 
     # the audio file has no extension. We make a .wav copy:
     with tempfile.NamedTemporaryFile(suffix=".wav", delete=True) as temp_audio_file:
         
-        # extract the file descriptor from the tuple
-        audio_fd = audio[0]
-        
-        # open the file with its descriptor
-        audio_file = os.fdopen(audio_fd, "rb")
-        
-        # copy the file content without closing it
-        shutil.copyfileobj(audio_file, temp_audio_file)
+        shutil.copy(audio_file_path, temp_audio_file.name)
 
         audio_filepath = temp_audio_file.name
         audio_file= open(audio_filepath, "rb")
     
-    transcript = openai.Audio.transcribe("whisper-1", audio_file, language="en")
+    transcript = openai.Audio.transcribe("whisper-1", audio_file, prompt=vocabolario_LOUD, language="it")
 
     return transcript["text"]
 
-app = gr.Interface(fn=transcribe, inputs=gr.Audio(source="upload"), outputs="text", title="Demo di trascrizione con vocabolario LOUD",description="Demo implementante l'API di Whisper personalizzato con vocabolario LOUD", live=True)
+app = gr.Interface(fn=transcribe, inputs=gr.inputs.File(type="file"), outputs="text", title="Demo di trascrizione con vocabolario LOUD",description="Demo implementante l'API di Whisper personalizzato con vocabolario LOUD", live=True)
 
 app.launch()