Update app.py
Browse files
app.py
CHANGED
@@ -1,42 +1,49 @@
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import os
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from random import randint
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from flask import Flask, request, send_file
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from io import BytesIO
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from PIL import Image
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import importlib
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app = Flask(__name__)
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def
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num_models = 6
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default_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 [Image
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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('') # Optional: str(randint(0, 99999999999))
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try:
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full_prompt = f'{prompt} {noise}'
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if negative_prompt:
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full_prompt += f' -{negative_prompt}'
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result = model(full_prompt)
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# Check if result is an image or a file path
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if isinstance(result, str): # Assuming result might be a file path
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if os.path.exists(result):
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@@ -57,14 +64,13 @@ def gen_fn(model_str, prompt, negative_prompt=None):
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def home():
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prompt = request.args.get('prompt', '')
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model = request.args.get('model', default_models[0] if default_models else 'NA')
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negative_prompt = request.args.get('Nprompt', None)
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if not model:
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return f'Invalid model: {model}', 400
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if prompt:
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# Generate the image
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image = gen_fn(model, prompt
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if isinstance(image, Image.Image): # Ensure the result is a PIL image
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# Save image to BytesIO object
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img_io = BytesIO()
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@@ -76,4 +82,4 @@ def home():
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if __name__ == '__main__':
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# Launch Flask app
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app.run(host='0.0.0.0', port=7860) # Run Flask app
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import os
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# Install Flask if not already installed
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return_code = os.system('pip install flask')
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if return_code != 0:
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raise RuntimeError("Failed to install Flask")
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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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from flask import Flask, request, send_file
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from io import BytesIO
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from PIL import Image
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app = Flask(__name__)
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def load_fn(models):
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global models_load
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models_load = {}
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for model in models:
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if model not in models_load.keys():
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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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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('') # Optional: str(randint(0, 99999999999))
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try:
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result = models_load[model_str](f'{prompt} {noise}')
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# Check if result is an image or a file path
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if isinstance(result, str): # Assuming result might be a file path
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if os.path.exists(result):
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def home():
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prompt = request.args.get('prompt', '')
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model = request.args.get('model', default_models[0] if default_models else 'NA')
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if not model or model not in models_load:
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return f'Invalid model: {model}', 400
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if prompt:
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# Generate the image
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image = gen_fn(model, prompt)
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if isinstance(image, Image.Image): # Ensure the result is a PIL image
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# Save image to BytesIO object
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img_io = BytesIO()
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if __name__ == '__main__':
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# Launch Flask app
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app.run(host='0.0.0.0', port=7860) # Run Flask app
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