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from gradio_client import Client
import numpy as np
import gradio as gr
def generate_img(prompt):
client = Client("ameerazam08/SDXS-GPU-Demo")
result = client.predict(
prompt=prompt,
api_name="/generate_image"
)
return result
from gradio_client import Client
def interrogate(img):
from gradio_client import Client
client = Client("https://pharmapsychotic-clip-interrogator.hf.space/")
result = client.predict(
img, # str (filepath or URL to image)
"ViT-L (best for Stable Diffusion 1.*)", # str (Option from: ['ViT-L (best for Stable Diffusion 1.*)'])
"best", # str in 'Mode' Radio component
fn_index=3
)
print(result)
def rountrip(img):
prompt=interrogate(img)
return generate_img(prompt)
demo = gr.Interface(rountrip, gr.Image(),gr.Image())
demo.launch()
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