Update app.py

app.py

@@ -1,24 +1,28 @@
 import gradio as gr
 from pydub import AudioSegment
 from ailib import whisper_transcribe
+import pandas as pd
 
 def transcribe(audiofile):
     #audio = AudioSegment.from_file(audiofile)
     #open(filename, 'wb').write(audio)
     return whisper_transcribe(audiofile)
 
-
-# gr.title("Demo CORFO")
-
 def display_text(option):
     left = 'LEFT:' + option
     right = 'RIGHT:' + option
     
     return left, right
 
+df = pd.read_csv('pacientes.csv')
+pacientes = df['paciente'].unique()             # now contains PAC_ID
+pid_dict = dict(zip(df.paciente, df.pac_id))
+################################################
+# gr.title("Demo CORFO")
+
+
 with gr.Blocks() as demo:
-    with gr.Row():
-     
+    with gr.Row():     
         audemo = gr.Interface(
             transcribe,
             gr.Audio(sources=["microphone"], type="filepath"),
@@ -26,7 +30,8 @@ with gr.Blocks() as demo:
         )
     with gr.Row():
         with gr.Column(scale=1):
-            radio = gr.Radio(choices=["Option 1", "Option 2"], label="Select an option", value="Option 1", interactive=True)
+            radio = gr.Radio(choices=pacientes, 
+                             label="PACIENTE", value=pacientes[0], interactive=True)
         with gr.Column(scale=3):
             with gr.Row():
                 left_text = gr.Markdown()