app.py

import gradio as gr
import requests
import os

#fn_index=1
# inputs:
# |-textbox
# |-slider
# |-slider
# |-slider
# |-slider
# outputs:
# |-gallery
#API_URL = "https://api-inference.huggingface.co/models/bigscience/bloom"
HF_TOKEN = os.environ["HF_TOKEN"]
#headers = {"Authorization": f"Bearer {HF_TOKEN}"}
sd_inf = gr.Blocks.load(name="spaces/stabilityai/stable-diffusion", use_auth_token='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')

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", use_auth_token='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')
  print(f"stable Diff inf is : {sd_inf}")
  tbox, sd_img_gallery = sd_inf(translated_txt, '4', '45', '7.5', 1024, fn_index=1)  #(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)