Spaces:
Runtime error
Runtime error
| from asyncio import constants | |
| import gradio as gr | |
| import requests | |
| import os | |
| from base64 import b64decode | |
| from PIL import Image | |
| import io | |
| def generate_image(text): | |
| #dalle = gr.Interface.load("spaces/kuprel/min-dalle") | |
| dalle = gr.Interface.load("spaces/Axolotlily/DalleMini") | |
| print("calling interface",text) | |
| img=dalle(text) | |
| #img=dalle.fns[0].fn(seed,psi) | |
| #header, encoded = img.split(",", 1) | |
| #data = b64decode(encoded) | |
| #image = Image.open(io.BytesIO(data)) | |
| return img | |
| #gfpgan=gr.Interface.load("spaces/akhaliq/GFPGAN") | |
| #img2=dalle(image) | |
| #return img2 | |
| demo = gr.Blocks() | |
| with demo: | |
| gr.Markdown("<h1><center>StyleGan-Human + PIFu </center></h1>") | |
| gr.Markdown( | |
| "create an image with min-dalle then fix faces with grpgan" | |
| ) | |
| with gr.Row(): | |
| b0 = gr.Button("generate image") | |
| with gr.Row(): | |
| text=gr.Text(default="three pigs in a trenchcoat", label='Seed') | |
| #outputImage = gr.Image(label="portrait",type="filepath", shape=(256,256)) | |
| output_image = gr.outputs.Image(type="filepath", label='Output') | |
| b0.click(generate_image,inputs=[text],outputs=[output_image]) | |
| demo.launch(enable_queue=True, debug=True) |