import gradio_client
from gradio_client import Client, file
import numpy as np
import gradio as gr
def generate_img(prompt):
    client = Client("ameerazam08/SDXS-GPU-Demo")
    client.view_api()
    result = client.predict(
    		prompt=prompt,
    		api_name="/generate_image"
    )
    return result



def interrogate(img):
    from gradio_client import Client
    client = Client("fffiloni/CLIP-Interrogator-2")
    client.view_api()
    client = Client("https://pharmapsychotic-clip-interrogator.hf.space/")
    client.view_api()
    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
    )
    return result
def rountrip(img):
    prompt=interrogate(img)
    return generate_img(prompt)

demo = gr.Interface(rountrip, gr.Image(type= 'filepath'),gr.Image(type= 'filepath'))
demo.launch()