Spaces:
Runtime error
Runtime error
File size: 1,938 Bytes
534e084 d8215b2 5745839 4c067ae 52bf87c d8215b2 96bde30 5745839 52bf87c 9679b96 606f31e 5745839 7624a50 606f31e 7624a50 fff86d3 4f54e11 2428837 fff86d3 6e9d64b fff86d3 71cdb69 fff86d3 4c067ae 3313eeb 4c067ae 3313eeb 71cdb69 fff86d3 9679b96 96bde30 6e9d64b 96bde30 26cc76d 71cdb69 96bde30 71cdb69 3313eeb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 |
import gradio as gr
from pydub import AudioSegment
from ailib import whisper_transcribe, summarize, nueva_ficha
import pandas as pd # only for patient list loading
def transcribe(audiofile):
consulta = whisper_transcribe(audiofile)
resumen_consulta = summarize(consulta)
resumen_historial = open('resumen.txt').read()
nueva = nueva_ficha(resumen_historial, resumen_consulta)
return consulta, resumen_consulta, nueva
def display_text(paciente):
resumen_historial = df[df.paciente==paciente]['Resumen'].iloc[0]
historial = df[df.paciente==paciente]['EHR'].iloc[0]
open('resumen.txt', 'w').write(resumen_historial)
return resumen_historial, historial
df = pd.read_csv('pacientes.csv')
pacientes = list(df['paciente'].unique()) # now contains PAC_ID
print('PAX:', pacientes, type(pacientes))
pid_dict = dict(zip(df.paciente, df.pac_id))
################################################
gr.Markdown("**Demo CORFO**")
with gr.Blocks() as demo:
with gr.Row():
audemo = gr.Interface(transcribe,
gr.Audio(sources=["microphone"], type="filepath"),
["text","text","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(): # historial+resumen
resumen_trans = gr.Markdown()
texto_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])
demo.launch() |