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import gradio as gr
import tensorflow as tf
import numpy as np
import os
os.environ['CURL_CA_BUNDLE'] = ''
from huggingface_hub import from_pretrained_fastai
model = from_pretrained_fastai("Alesteba/deep_model_08")
def predict(prompt):
return model.predict(prompt)[0]
gr.Interface(fn=predict, inputs="text", outputs="text").launch() |