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Update app.py
Browse files
app.py
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import
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try:
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m = gr.load(f'models/{model}')
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except Exception as error:
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m = gr.Interface(lambda txt: None, ['text'], ['image'])
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models_load.update({model: m})
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load_fn(models)
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num_models = 6
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default_models = models[:num_models]
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def extend_choices(choices):
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return choices + (num_models - len(choices)) * ['NA']
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def update_imgbox(choices):
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choices_plus = extend_choices(choices)
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return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus]
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txt_input = gr.Textbox(label = 'Your prompt:', lines=4).style(container=False,min_width=1200)
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gen_button = gr.Button('Generate up to 6 images in up to 3 minutes total')
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stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
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gen_button.click(lambda s: gr.update(interactive = True), None, stop_button)
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gr.HTML(
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"""
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<div style="text-align: center; max-width: 1200px; margin: 0 auto;">
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<div>
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<body>
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<div class="center"><p style="margin-bottom: 10px; color: #000000;">Scroll down to see more images and select models.</p>
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</div>
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</body>
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</div>
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</div>
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"""
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)
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with gr.Row():
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output = [gr.Image(label = m, min_width=480) for m in default_models]
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current_models = [gr.Textbox(m, visible = False) for m in default_models]
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for m, o in zip(current_models, output):
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gen_event = gen_button.click(gen_fn, [m, txt_input], o)
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stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event])
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with gr.Accordion('Model selection'):
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model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models from the 866 available!', value = default_models, multiselect = True, max_choices = num_models, interactive = True, filterable = False)
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model_choice.change(update_imgbox, model_choice, output)
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model_choice.change(extend_choices, model_choice, current_models)
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with gr.Row():
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gr.HTML(
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"""
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<div class="footer">
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<p> Based on the <a href="https://huggingface.co/spaces/derwahnsinn/TestGen">TestGen</a> Space by derwahnsinn, the <a href="https://huggingface.co/spaces/RdnUser77/SpacIO_v1">SpacIO</a> Space by RdnUser77 and Omnibus's Maximum Multiplier!
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</p>
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"""
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)
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import os
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os.system("pip install flask")
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from flask import Flask, request, send_file, abort
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from io import BytesIO
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from PIL import Image
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import random
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app = Flask(__name__)
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# モデルのロードをシミュレートするためのスタブ
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def load_model(model_name):
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# モデルをロードするロジックをここに追加
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# ここでは、PILで空の画像を生成する簡易的な例を示します
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def model(prompt):
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img = Image.new('RGB', (256, 256), color = (73, 109, 137))
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return img
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return model
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# モデルのロード
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models_load = {f'model_{i}': load_model(f'model_{i}') for i in range(1, 7)}
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@app.route('/generate_image', methods=['GET'])
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def generate_image():
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prompt = request.args.get('prompt')
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model_str = request.args.get('model')
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if model_str not in models_load:
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abort(404, description="Model not found")
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model = models_load[model_str]
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noise = str(random.randint(0, 99999999999))
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image = model(f'{prompt} {noise}')
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# 画像をバイナリで保存し、レスポンスとして返す
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img_bytes = BytesIO()
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image.save(img_bytes, format='PNG')
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img_bytes.seek(0)
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return send_file(img_bytes, mimetype='image/png')
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=5000)
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