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import gradio as gr | |
from functions import audio2text, text2sentiment, classify_image | |
demo = gr.Blocks() | |
with demo: | |
gr.Markdown("Este es el segundo demos con Blocks") | |
with gr.Tabs(): | |
with gr.TabItem("Transcribe audio en espaΓ±ol"): | |
with gr.Row(): | |
audio = gr.Audio(sources=["microphone"], type="filepath") | |
transcription = gr.Textbox() | |
b1 = gr.Button("Transcribe porfa") | |
with gr.TabItem("Analisis de sentimiento en espaΓ±ol"): | |
with gr.Row(): | |
texto = gr.Textbox() | |
label = gr.Label() | |
b2 = gr.Button("Sentimiento porfa") | |
with gr.TabItem("Clasificacion de imagenes"): | |
with gr.Row(): | |
image = gr.Image(type='pil') | |
lb_image = gr.Label(num_top_classes=3) | |
b3 = gr.Button("Clasifica tu imagen") | |
b1.click(audio2text, inputs=audio, outputs=transcription) | |
b2.click(text2sentiment, inputs=texto, outputs=label) | |
b3.click(classify_image, inputs=image, outputs=lb_image) | |
demo.launch() |