Update app.py

app.py

@@ -1,12 +1,15 @@
 import gradio as gr
 from pydub import AudioSegment
-from ailib import whisper_transcribe
+from ailib import whisper_transcribe, summarize
 import pandas as pd
 
 def transcribe(audiofile):
     #audio = AudioSegment.from_file(audiofile)
     #open(filename, 'wb').write(audio)
-    return whisper_transcribe(audiofile)
+    consulta = whisper_transcribe(audiofile)
+    resumen = summarize(consulta)
+    random = 'CHALLA!'
+    return consulta, resumen, random
 
 def display_text(paciente):
     resumen_historial = df[df.paciente==paciente]['Resumen'].iloc[0]
@@ -21,25 +24,29 @@ pid_dict = dict(zip(df.paciente, df.pac_id))
 ################################################
 # gr.title("Demo CORFO")
 
-
 with gr.Blocks() as demo:
     with gr.Row():     
         audemo = gr.Interface(
             transcribe,
             gr.Audio(sources=["microphone"], type="filepath"),
-            "text",
+            ["text","text","text"]   # was simply "text",
         )
     with gr.Row():
         with gr.Column(scale=1):
             radio = gr.Radio(choices=pacientes, 
                              label="PACIENTE", value=pacientes[0], interactive=True)
         with gr.Column(scale=4):
-            with gr.Row():
+            with gr.Row():   # historial+resumen
+                resumen_trans = gr.Markdown()
+                nueva_ficha = gr.Markdown()
+                
+            with gr.Row():   # historial+resumen
                 with gr.Accordion('Resumen Historial'):   # use radio?
                     left_text = gr.Markdown()
                 with gr.Accordion('Historial'):
                     right_text = gr.Markdown()
     
-    radio.change(display_text, inputs=radio, outputs=[left_text, right_text])
+    radio.change(display_text, inputs=radio, 
+                 outputs=[left_text, right_text])
 
 demo.launch()