app.py

import gradio as gr
import numpy as np
# from edict_functions import EDICT_editing
from PIL import Image
from utils import Endpoint, get_token

endpoint = Endpoint()

def local_edict(x, source_text, edit_text,
         edit_strength, guidance_scale,
          steps=50, mix_weight=0.93, ):
    x = Image.fromarray(x)
    return_im =  EDICT_editing(x,
                         source_text,
                         edit_text,
                  steps=steps,
                  mix_weight=mix_weight,
                  init_image_strength=edit_strength,
                  guidance_scale=guidance_scale
                              )[0]
    return np.array(return_im)



def decode_image(img_obj):
    img = Image.open(img_obj).convert("RGB")
    return img

def edict(x, source_text, edit_text,
         edit_strength, guidance_scale,
          steps=50, mix_weight=0.93, ):

    url = endpoint.url
    url = url + "/api/edit"
    headers = {
        "User-Agent": "EDICT HuggingFace Space",
        "Auth-Token": get_token(),
    }

    data = {
        "source_text": source_text,
        "edit_text": edit_text,
        "edit_strength": edit_strength,
        "guidance_scale": guidance_scale,
    }

    image = encode_image(x)
    files = {"image": image}  

    response = requests.post(url, data=data, files=files, headers=headers)
    
    if response.status_code == 200:
        return np.array(decode_image(BytesIO(response.content)))
    else:
        return "Error: " + response.text   
    # x = decode_image(response)
    # return np.array(x)

iface = gr.Interface(fn=edict, inputs=["image",
                                       gr.Textbox(label="Original Description"),
                                       gr.Textbox(label="Edit Description"),
                                       # 50, # gr.Slider(5, 50, value=20, step=1),
                                       # 0.93, # gr.Slider(0.5, 1, value=0.7, step=0.05),
                                       gr.Slider(0.0, 1, value=0.8, step=0.05),
                                       gr.Slider(0, 10, value=3, step=0.5),
                                      ],
                     outputs="image")
iface.launch()