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import os | |
import gradio as gr | |
from transformers import pipeline | |
from IPython.display import Audio as IPythonAudio | |
pipe = pipeline("image-to-text", | |
model="Salesforce/blip-image-captioning-base") | |
tts_pipe = pipeline("text-to-speech", | |
model="kakao-enterprise/vits-ljs") | |
def launch(input): | |
out = pipe(input) | |
narrated_text = tts_pipe(out[0]['generated_text']) | |
IPythonAudio(narrated_text["audio"][0], | |
rate=narrated_text["sampling_rate"]) | |
return out[0]['generated_text'] | |
iface = gr.Interface(launch, | |
inputs=gr.Image(type='pil'), | |
outputs="text") | |
iface.launch() | |