import gradio as gr
import requests

  
def get_sd(translated_txt):
  print("******** Inside get_SD ********")
  print(f"translated_txt is : {translated_txt}")
  sd_inf = gr.Blocks.load(name="spaces/stabilityai/stable-diffusion")
  print(f"stable Diff inf is : {sd_inf}")
  tbox, sd_img_gallery = gr.Blocks.load(name="spaces/stabilityai/stable-diffusion")(translated_txt, 4, 45, 7.5, 1024, fn_index=2)  #(prompt, samples, steps, scale, seed)
  
  return sd_img_gallery[0]

demo = gr.Blocks()

with demo:
  gr.Markdown("Testing Diffusion models. STILL VERY MUCH WORK IN PROGRESS !!!!!!!!")
  
  with gr.Row():
    in_text_prompt = gr.Textbox(label="Enter English text here")
    #out_text_chinese = gr.Textbox(label="Your Chinese language output")
    b1 = gr.Button("Generate SD")

    out_sd = gr.Image(type="pil", label="SD output for the given prompt")
    
    b1.click(get_sd, in_text_prompt, out_sd) #out_gallery )  
    
demo.launch(enable_queue=True, debug=True)