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50f9d19
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Parent(s):
92d8bdb
Update app.py
Browse files
app.py
CHANGED
@@ -1,14 +1,16 @@
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import gradio as gr
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import os
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import sys
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from pathlib import Path
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import random
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import string
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import time
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from queue import Queue
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queue = Queue()
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from threading import Thread
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text_gen=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion")
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proc1=gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0")
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@@ -32,106 +34,86 @@ def add_random_noise(prompt, noise_level=0.07):
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prompt_list[index] = random.choice(string.ascii_letters + string.punctuation)
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return "".join(prompt_list)
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queue_length_counter = 0
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def send_it1(inputs, noise_level, proc1=proc1):
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global
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prompt_with_noise = add_random_noise(inputs, noise_level)
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output1 = proc1(prompt_with_noise)
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queue_length_counter += 1
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return output1
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def send_it2(inputs, noise_level, proc1=proc1):
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global
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prompt_with_noise = add_random_noise(inputs, noise_level)
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output2 = proc1(prompt_with_noise)
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queue_length_counter += 1
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return output2
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def send_it3(inputs, noise_level, proc1=proc1):
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global
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prompt_with_noise = add_random_noise(inputs, noise_level)
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output3 = proc1(prompt_with_noise)
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queue_length_counter += 1
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return output3
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def send_it4(inputs, noise_level, proc1=proc1):
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global
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prompt_with_noise = add_random_noise(inputs, noise_level)
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output4 = proc1(prompt_with_noise)
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queue_length_counter += 1
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return output4
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def send_it5(inputs, noise_level, proc1=proc1):
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global
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prompt_with_noise = add_random_noise(inputs, noise_level)
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output5 = proc1(prompt_with_noise)
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queue_length_counter += 1
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return output5
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def send_it6(inputs, noise_level, proc1=proc1):
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global
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prompt_with_noise = add_random_noise(inputs, noise_level)
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output6 = proc1(prompt_with_noise)
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queue_length_counter += 1
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return output6
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def send_it7(inputs, noise_level, proc1=proc1):
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global
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prompt_with_noise = add_random_noise(inputs, noise_level)
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output7 = proc1(prompt_with_noise)
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queue_length_counter += 1
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return output7
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def send_it8(inputs, noise_level, proc1=proc1):
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global
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prompt_with_noise = add_random_noise(inputs, noise_level)
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output8 = proc1(prompt_with_noise)
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queue_length_counter += 1
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return output8
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def get_prompts(prompt_text):
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global
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output = text_gen(prompt_text)
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queue_length_counter += 1
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return output
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@@ -149,17 +131,17 @@ with gr.Blocks() as myface:
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with gr.Row():
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like_message = gr.Button("❤️ Press the Like Button if you enjoy my space! ❤️")
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with gr.Row():
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output1=gr.Image(label="Dreamlike
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output2=gr.Image(label="Dreamlike
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with gr.Row():
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output3=gr.Image(label="Dreamlike
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output4=gr.Image(label="Dreamlike
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with gr.Row():
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output5=gr.Image(label="Dreamlike
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output6=gr.Image(label="Dreamlike
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with gr.Row():
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output7=gr.Image(label="Dreamlike
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output8=gr.Image(label="Dreamlike
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run.click(send_it1, inputs=[prompt, noise_level], outputs=[output1])
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@@ -174,8 +156,8 @@ with gr.Blocks() as myface:
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myface.queue(concurrency_count=8)
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myface.launch(enable_queue=True, inline=True)
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def queue_monitor():
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while True:
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import gradio as gr
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import os
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import sys
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from pathlib import Path
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import random
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import string
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import time
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from queue import Queue
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from threading import Thread
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queue = Queue()
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queue_threshold = 15
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text_gen=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion")
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proc1=gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0")
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prompt_list[index] = random.choice(string.ascii_letters + string.punctuation)
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return "".join(prompt_list)
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def send_it1(inputs, noise_level, proc1=proc1):
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global queue
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prompt_with_noise = add_random_noise(inputs, noise_level)
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queue.put(prompt_with_noise)
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while queue.qsize() > queue_threshold:
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time.sleep(1)
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output1 = proc1(queue.get())
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return output1
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def send_it2(inputs, noise_level, proc1=proc1):
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global queue
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prompt_with_noise = add_random_noise(inputs, noise_level)
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queue.put(prompt_with_noise)
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while queue.qsize() > queue_threshold:
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time.sleep(1)
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output2 = proc1(queue.get())
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return output2
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def send_it3(inputs, noise_level, proc1=proc1):
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global queue
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prompt_with_noise = add_random_noise(inputs, noise_level)
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queue.put(prompt_with_noise)
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while queue.qsize() > queue_threshold:
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time.sleep(1)
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output3 = proc1(queue.get())
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return output3
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def send_it4(inputs, noise_level, proc1=proc1):
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global queue
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prompt_with_noise = add_random_noise(inputs, noise_level)
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queue.put(prompt_with_noise)
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while queue.qsize() > queue_threshold:
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time.sleep(1)
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output4 = proc1(queue.get())
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return output4
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def send_it5(inputs, noise_level, proc1=proc1):
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global queue
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prompt_with_noise = add_random_noise(inputs, noise_level)
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queue.put(prompt_with_noise)
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while queue.qsize() > queue_threshold:
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time.sleep(1)
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output5 = proc1(queue.get())
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return output5
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def send_it6(inputs, noise_level, proc1=proc1):
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global queue
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prompt_with_noise = add_random_noise(inputs, noise_level)
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queue.put(prompt_with_noise)
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while queue.qsize() > queue_threshold:
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time.sleep(1)
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output6 = proc1(queue.get())
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return output6
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def send_it7(inputs, noise_level, proc1=proc1):
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global queue
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prompt_with_noise = add_random_noise(inputs, noise_level)
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queue.put(prompt_with_noise)
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while queue.qsize() > queue_threshold:
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time.sleep(1)
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output7 = proc1(queue.get())
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return output7
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def send_it8(inputs, noise_level, proc1=proc1):
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global queue
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prompt_with_noise = add_random_noise(inputs, noise_level)
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queue.put(prompt_with_noise)
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while queue.qsize() > queue_threshold:
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time.sleep(1)
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output8 = proc1(queue.get())
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return output8
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def get_prompts(prompt_text):
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global queue
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queue.put(prompt_text)
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while queue.qsize() > queue_threshold:
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time.sleep(1)
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output = text_gen(queue.get())
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return output
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with gr.Row():
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like_message = gr.Button("❤️ Press the Like Button if you enjoy my space! ❤️")
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with gr.Row():
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output1=gr.Image(label="Dreamlike-photoreal-2.0")
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output2=gr.Image(label="Dreamlike-photoreal-2.0")
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with gr.Row():
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output3=gr.Image(label="Dreamlike-photoreal-2.0")
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output4=gr.Image(label="Dreamlike-photoreal-2.0")
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with gr.Row():
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output5=gr.Image(label="Dreamlike-photoreal-2.0")
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output6=gr.Image(label="Dreamlike-photoreal-2.0")
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with gr.Row():
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output7=gr.Image(label="Dreamlike-photoreal-2.0")
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output8=gr.Image(label="Dreamlike-photoreal-2.0")
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run.click(send_it1, inputs=[prompt, noise_level], outputs=[output1])
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myface.queue(concurrency_count=8)
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myface.launch(enable_queue=True, inline=True)
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def queue_monitor():
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while True:
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