Update app.py

app.py

@@ -1,11 +1,9 @@
 import gradio as gr
 from pydub import AudioSegment
 from ailib import whisper_transcribe, summarize, nueva_ficha
-import pandas as pd
+import pandas as pd    # only for patient list loading
 
 def transcribe(audiofile):
-    #audio = AudioSegment.from_file(audiofile)
-    #open(filename, 'wb').write(audio)
     consulta = whisper_transcribe(audiofile)
     resumen_consulta = summarize(consulta)
     resumen_historial = open('resumen.txt').read()
@@ -29,10 +27,9 @@ gr.Markdown("**Demo CORFO**")
 
 with gr.Blocks() as demo:
     with gr.Row():     
-        audemo = gr.Interface(
-            transcribe,
+        audemo = gr.Interface(transcribe,
             gr.Audio(sources=["microphone"], type="filepath"),
-            ["text","text","text"]   # was simply "text",
+            ["text","text","text"]
         )
     with gr.Row():
         with gr.Column(scale=1):