Update app.py

app.py

@@ -116,130 +116,16 @@ def run(*args):
 
 
 import gradio as gr
-from functools import partial
-from itertools import chain
 
-def change_visible(txt1, im1, val):
-    outputs = {}
-    if val == "Image":
-        outputs[im1] = gr.update(visible=True)
-        outputs[txt1] = gr.update(visible=False)
-    elif val == "Text/URL":
-        outputs[im1] = gr.update(visible=False)
-        outputs[txt1] = gr.update(visible=True)
-    elif val == "Nothing":
-        outputs[im1] = gr.update(visible=False)
-        outputs[txt1] = gr.update(visible=False)
-    return outputs
-
-
-with gr.Blocks(title="Image Mixer", css=".gr-box {border-color: #8136e2}") as demo:
-
-    gr.Markdown("")
-    gr.Markdown(
-"""
-# Image Mixer
-
-_Created by [Justin Pinkney](https://www.justinpinkney.com) at [Lambda Labs](https://lambdalabs.com/)_
-
-To skip the queue you can try it on <a href="https://cloud.lambdalabs.com/demos/lambda/image-mixer-demo" style="display:inline-block;position: relative;"><img style="margin-top: 0;margin-bottom: 0;margin-left: .25em;" src="https://img.shields.io/badge/-Lambda%20Cloud-blueviolet"></a>
-
-### __Provide one or more images to be mixed together by a fine-tuned Stable Diffusion model (see tips and advice below👇).__
-
-![banner-large.jpeg](https://s3.amazonaws.com/moonup/production/uploads/1674039767068-62bd5f951e22ec84279820e8.jpeg)
-
-""")
-
-    btns = []
-    txts = []
-    ims = []
-    strengths = []
-
-    with gr.Row():
-        for i in range(n_inputs):
-            with gr.Box():
-                with gr.Column():
-                    btn1 = gr.Radio(
-                        choices=["Image", "Text/URL", "Nothing"],
-                        label=f"Input {i} type",
-                        interactive=True,
-                        value="Nothing",
-                        )
-                    txt1 = gr.Textbox(label="Text or Image URL", visible=False, interactive=True)
-                    im1 = gr.Image(label="Image", interactive=True, visible=False, type="pil")
-                    strength = gr.Slider(label="Strength", minimum=0, maximum=5, step=0.05, value=1, interactive=True)
-    
-                    fn = partial(change_visible, txt1, im1)
-                    btn1.change(fn=fn, inputs=[btn1], outputs=[txt1, im1], queue=False)
-    
-                    btns.append(btn1)
-                    txts.append(txt1)
-                    ims.append(im1)
-                    strengths.append(strength)
-    with gr.Row():
-        cfg_scale = gr.Slider(label="CFG scale", value=3, minimum=1, maximum=10, step=0.5)
-        n_samples = gr.Slider(label="Num samples", value=1, minimum=1, maximum=1, step=1)
-        seed = gr.Slider(label="Seed", value=0, minimum=0, maximum=10000, step=1)
-        steps = gr.Slider(label="Steps", value=30, minimum=10, maximum=100, step=5)
-
-    with gr.Row():
-        submit = gr.Button("Generate")
-    output = gr.Gallery().style(grid=[1,2], height="640px")
-
-    inps = list(chain(btns, txts, ims, strengths))
-    inps.extend([cfg_scale,n_samples,seed, steps,])
-    submit.click(fn=run, inputs=inps, outputs=[output])
-
-    ex = gr.Examples([
-    [
-        "Image", "Image", "Text/URL", "Nothing", "Nothing",
-        "","","central symmetric figure detailed artwork","","",
-        "gainsborough.jpeg","blonder.jpeg","blonder.jpeg","blonder.jpeg","blonder.jpeg",
-        1,1.35,1.4,1,1,
-        3.0, 1, 0, 30,
-    ],
-    [
-        "Image", "Image", "Text/URL", "Image", "Nothing",
-        "","","flowers","","",
-        "ex2-1.jpeg","ex2-2.jpeg","blonder.jpeg","ex2-3.jpeg","blonder.jpeg",
-        1,1,1.5,1.25,1,
-        3.0, 1, 0, 30,
-    ],
-    [
-        "Image", "Image", "Image", "Nothing", "Nothing",
-        "","","","","",
-        "ex1-1.jpeg","ex1-2.jpeg","ex1-3.jpeg","blonder.jpeg","blonder.jpeg",
-        1.1,1,1.4,1,1,
-        3.0, 1, 0, 30,
-    ],
-                     ],
-    fn=run, inputs=inps, outputs=[output], cache_examples=True)
-
-    gr.Markdown(
-"""
-
-## Tips
-
-- You can provide between 1 and 5 inputs, these can either be an uploaded image a text prompt or a url to an image file.
-- The order of the inputs shouldn't matter, any images will be centre cropped before use.
-- Each input has an individual strength parameter which controls how big an influence it has on the output.
-- The model was not trained using text and can not interpret complex text prompts.
-- Using only text prompts doesn't work well, make sure there is at least one image or URL to an image.
-- The parameters on the bottom row such as cfg scale do the same as for a normal Stable Diffusion model.
-- Balancing the different inputs requires tweaking of the strengths, I suggest getting the right balance for a small number of samples and with few steps until you're
-happy with the result then increase the steps for better quality.
-- Outputs are 640x640 by default.
-- If you want to run locally see the instruction on the [Model Card](https://huggingface.co/lambdalabs/image-mixer).
-
-## How does this work?
-
-This model is based on the [Stable Diffusion Image Variations model](https://huggingface.co/lambdalabs/sd-image-variations-diffusers)
-but it has been fined tuned to take multiple CLIP image embeddings. During training, up to 5 random crops were taken from the training images and
-the CLIP image embeddings were computed, these were then concatenated and used as the conditioning for the model. At inference time we can combine the image
-embeddings from multiple images to mix their concepts (and we can also use the text encoder to add text concepts too).
-
-The model was trained on a subset of LAION Improved Aesthetics at a resolution of 640x640 and was trained using 8xA100 GPUs on [Lambda GPU Cloud](https://lambdalabs.com/service/gpu-cloud).
-
-""")
-
-demo.launch()
+def my_inference_function(bouts, person):
+  return "Hello " + bouts + " turned into " + person + "!"
+
+gradio_interface = gradio.Interface(
+  fn=my_inference_function,
+  inputs=["text","text"],
+  outputs="text",
+  title="Boutsify images",
+  description="Turn portraits into a painting in the style of Flemish master Dirck Bouts",
+  article="© iO Digital"
+)
+gradio_interface.launch()