kenkina's picture
feat: sentiment analysis and blocks
262febc
import gradio as gr
from transformers import pipeline
trans = pipeline("automatic-speech-recognition", "facebook/wav2vec2-large-xlsr-53-spanish")
clasificador = pipeline("text-classification", model = "pysentimiento/robertuito-sentiment-analysis")
def audio_a_texto(audio):
text = trans(audio)["text"]
return text
def texto_a_sentimiento(text):
return clasificador(text)[0]["label"]
demo = gr.Blocks()
with demo:
gr.Markdown("Demo")
audio = gr.Audio(source = "microphone", type = "filepath")
texto = gr.Textbox()
b1 = gr.Button("Transcribe!")
b1.click(
fn = audio_a_texto,
inputs = audio,
outputs = texto
)
label = gr.Label()
b2 = gr.Button("Clasify!")
b2.click(
fn = texto_a_sentimiento,
inputs = texto,
outputs = label
)
demo.launch()