Upload main (3).py
Browse files- main (3).py +100 -0
main (3).py
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from fastapi import FastAPI
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse
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import gradio as gr
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import os
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import sys
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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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app = FastAPI()
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text_gen = gr.Interface.load("models/Gustavosta/MagicPrompt-Stable-Diffusion")
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proc1 = gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0")
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queue = Queue()
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queue_threshold = 100
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def add_random_noise(prompt, noise_level=0.00):
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if noise_level == 0:
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noise_level = 0.00
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percentage_noise = noise_level * 5
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num_noise_chars = int(len(prompt) * (percentage_noise / 100))
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noise_indices = random.sample(range(len(prompt)), num_noise_chars)
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prompt_list = list(prompt)
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noise_chars = list(string.ascii_letters + string.punctuation + ' ' + string.digits)
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noise_chars.extend(['๐', '๐ฉ', '๐', '๐ค', '๐', '๐ค', '๐ญ', '๐', '๐ท', '๐คฏ', '๐คซ', '๐ฅด', '๐ด', '๐คฉ', '๐ฅณ', '๐', '๐ฉ', '๐คช', '๐', '๐คข', '๐', '๐น', '๐ป', '๐ค', '๐ฝ', '๐', '๐', '๐
', '๐', '๐', '๐', '๐', '๐', '๐', '๐ฎ', 'โค๏ธ', '๐', '๐', '๐', '๐', '๐ถ', '๐ฑ', '๐ญ', '๐น', '๐ฆ', '๐ป', '๐จ', '๐ฏ', '๐ฆ', '๐', '๐ฅ', '๐ง๏ธ', '๐', '๐', '๐ฅ', '๐ด', '๐', '๐บ', '๐ป', '๐ธ', '๐จ', '๐
', '๐', 'โ๏ธ', 'โ๏ธ', 'โ๏ธ', 'โ๏ธ', '๐ค๏ธ', 'โ
๏ธ', '๐ฅ๏ธ', '๐ฆ๏ธ', '๐ง๏ธ', '๐ฉ๏ธ', '๐จ๏ธ', '๐ซ๏ธ', 'โ๏ธ', '๐ฌ๏ธ', '๐จ', '๐ช๏ธ', '๐'])
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for index in noise_indices:
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prompt_list[index] = random.choice(noise_chars)
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return "".join(prompt_list)
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# Existing code...
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import uuid # Import the UUID library
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# Existing code...
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# Existing code...
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request_counter = 0 # Global counter to track requests
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def send_it1(inputs, noise_level, proc=proc1):
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global request_counter
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request_counter += 1
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timestamp = f"{time.time()}_{request_counter}"
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prompt_with_noise = add_random_noise(inputs, noise_level) + f" - {timestamp}"
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while queue.qsize() >= queue_threshold:
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time.sleep(2)
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queue.put(prompt_with_noise)
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output = proc(prompt_with_noise)
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return output
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def get_prompts(prompt_text):
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if not prompt_text:
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return "Please enter text before generating prompts.ุฑุฌุงุก ุงุฏุฎู ุงููุต ุงููุง"
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raise gr.Error("Please enter text before generating prompts.ุฑุฌุงุก ุงุฏุฎู ุงููุต ุงููุง")
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else:
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global request_counter
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request_counter += 1
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timestamp = f"{time.time()}_{request_counter}"
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options = [
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"Cyberpunk android",
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"2060",
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"newyork",
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"style of laurie greasley" , "studio ghibli" , "akira toriyama" , "james gilleard" , "genshin impact" , "trending pixiv fanbox" , "acrylic palette knife, 4k, vibrant colors, devinart, trending on artstation, low details"
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"Editorial Photography, Shot on 70mm lens, Depth of Field, Bokeh, DOF, Tilt Blur, Shutter Speed 1/1000, F/22, 32k, Super-Resolution, award winning,",
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"high detail, warm lighting, godrays, vivid, beautiful, trending on artstation, by jordan grimmer, huge scene, grass, art greg rutkowski ",
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"highly detailed, digital painting, artstation, illustration, art by artgerm and greg rutkowski and alphonse mucha.",
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"Charlie Bowater, stanley artgerm lau, a character portrait, sots art, sharp focus, smooth, aesthetic, extremely detailed, octane render,solo, dark industrial background, rtx, rock clothes, cinematic light, intricate detail, highly detailed, high res, detailed facial features",
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"portrait photograph" , "realistic" , "concept art" , "elegant, highly detailed" , "intricate, sharp focus, depth of field, f/1. 8, 85mm, medium shot, mid shot, (((professionally color graded)))" ," sharp focus, bright soft diffused light" , "(volumetric fog),",
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"Cinematic film still" ," (dark city street:1.2)" , "(cold colors), damp, moist, intricate details" ,"shallow depth of field, [volumetric fog]" , "cinematic lighting, reflections, photographed on a Canon EOS R5, 50mm lens, F/2.8, HDR, 8k resolution" , "cinematic film still from cyberpunk movie" , "volumetric fog, (RAW, analog, masterpiece, best quality, soft particles, 8k, flawless perfect face, intricate details" , "trending on artstation, trending on cgsociety, dlsr, ultra sharp, hdr, rtx, antialiasing, canon 5d foto))" , "((skin details, high detailed skin texture))" , "(((perfect face))), (perfect eyes)))",
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# Add other prompt options here...
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]
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if prompt_text:
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chosen_option = random.choice(options)
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return text_gen(f"{prompt_text}, {chosen_option} - {timestamp}")
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else:
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return text_gen("", timestamp)
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@app.get("/generate_prompts")
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def generate_prompts(prompt_text: str):
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return get_prompts(prompt_text)
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@app.get("/send_inputs")
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def send_inputs(inputs: str, noise_level: float):
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return send_it1(inputs, noise_level)
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app.mount("/", StaticFiles(directory="static", html=True), name="static")
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@app.get("/")
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def index() -> FileResponse:
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return FileResponse(path="/app/static/index.html", media_type="text/html")
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