app.py
Browse files
app.py
CHANGED
@@ -1,4 +1,5 @@
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import gradio as gr
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from random import randint
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from all_models import models
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@@ -28,8 +29,21 @@ def update_imgbox(choices):
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def gen_fn(model_str, prompt):
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if model_str == 'NA':
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return None
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noise = str(randint(0,
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-
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def make_me():
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with gr.Row():
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@@ -152,9 +166,11 @@ body {
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border: 1px solid #3b4252;
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background-color: #2d343f;
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border-radius: 4px;
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margin:
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max-width: 100%;
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box-sizing: border-box;
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}
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.custom_accordion {
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background-color: #2d3d4f;
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@@ -217,5 +233,5 @@ body {
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with gr.Blocks(css=custom_css) as demo:
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make_me()
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demo.queue(concurrency_count=
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demo.launch()
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import gradio as gr
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from io import BytesIO
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from random import randint
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from all_models import models
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def gen_fn(model_str, prompt):
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if model_str == 'NA':
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return None
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noise = str(randint(0, 99999999))
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result = models_load[model_str](f'{prompt} {noise}')
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if isinstance(result, str):
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response = requests.get(result)
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img = Image.open(BytesIO(response.content))
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elif isinstance(result, bytes):
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img = Image.open(BytesIO(result))
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else:
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return None
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buffered = BytesIO()
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img.save(buffered, format="PNG")
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img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')
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return f"data:image/png;base64,{img_str}"
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def make_me():
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with gr.Row():
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border: 1px solid #3b4252;
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background-color: #2d343f;
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border-radius: 4px;
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margin: 20px;
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max-width: 100%;
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box-sizing: border-box;
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width: 100%;
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height: auto;
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}
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.custom_accordion {
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background-color: #2d3d4f;
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with gr.Blocks(css=custom_css) as demo:
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make_me()
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demo.queue(concurrency_count=50)
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demo.launch()
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