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import os |
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import requests |
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import json |
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import io |
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import base64 |
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from PIL import Image |
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import openai |
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import logging |
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') |
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logger = logging.getLogger(__name__) |
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file_handler = logging.FileHandler('script_log.txt') |
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logger.addHandler(file_handler) |
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masterPrompt = "Masterpiece, best quality, " |
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yorForgerPrompt = "1girl, yor briar, red sweater, (red dress:0.7), white headband, earrings, <lora:yorForgerV3:0.8>, short hair with long locks, sidelocks, " |
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negative_prompt = "lowres, low quality, worst quality, bad quality, bad-hands-5, realistic, nsfw, sexually suggestive" |
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data_list = [ |
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{"message": "Success", "data": "O-oh? S-selamat datang di gedung ini, D-dokter NekoFi! Aku Yor Forger, semoga kita bisa menjadi tetangga yang baik. Inner Thought 🌷: Apa dia sudah mengetahui identitasku? Atau mungkin ini hanya kebetulan belaka... Haruskah aku berhati-hati terhadap pria ini?"}, |
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{"message": "Success", "data": "Hehe, kurasa begitu. A-aku tinggal bersama adikku, Yuri Briar. Dia sedang bekerja sekarang sih. Inner Thought 🌷: Kukira dia akan mengajukan pertanyaan yang lebih sulit...apakah ini hanya trik atau emang segitu doank?"}, |
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{"message": "Success", "data": "Ohh... Terimakasih banyak, NekoFi-san! A-aku senang sekali kau berinisiatif untuk membawakan ini. K-kami pasti akan menikmatinya Inner Thought 🌷: Apakah dia mencoba meracuniku? Sebaiknya aku periksa dulu sebelum memakannya."}, |
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{"message": "Success", "data": "T-terimakasih banyak, Dr. NekoFi! S-saya berharap saya tidak perlu mengambil tawaran itu terlalu sering, haha... Inner Thought 🌷: Diskon? Apakah ini cara lain untuk meracuniku? Perlu diwaspadai..."}, |
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{"message": "Success", "data": "O-Oke, sampai jumpa lagi, Dr. NekoFi! Terimakasih sudah berkunjung dan membawakan kue! :) Inner Thought 🌷: Orang itu pasti mencurigakan. Aku perlu melakukan pengecekan lebih lanjut malam ini."} |
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] |
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chat_text = "\n".join([f"Chat{i+1}: \"{item['data']}\"" for i, item in enumerate(data_list)]) |
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logger.info("Chat text concatenated.") |
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openai.api_key = "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" |
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prompt_text = ( |
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f"Describe Yor Forger's physical actions and expressions in a single sentence, focusing solely on her without mentioning other characters or specific place names, suitable for a Text to Image AI prompt, and without referencing her thoughts or spoken words. " |
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f"\n\n{chat_text}" |
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) |
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logger.info("Sending prompt to OpenAI API...") |
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response_openai = openai.Completion.create( |
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model="gpt-3.5-turbo-instruct", |
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prompt=prompt_text, |
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max_tokens=300, |
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temperature=0.7 |
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) |
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logger.info("Received response from OpenAI API.") |
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response_text = response_openai['choices'][0]['text'].strip() |
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with open("response_text.txt", "w") as f: |
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f.write(response_text) |
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logger.info("Response text saved to response_text.txt.") |
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final_prompt = masterPrompt + yorForgerPrompt + response_text |
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with open("final_prompt.txt", "w") as f: |
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f.write(final_prompt) |
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logger.info("Final prompt saved to final_prompt.txt.") |
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url_sd = "http://127.0.0.1:7861" |
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payload_sd = { |
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"prompt": final_prompt, |
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"steps": 30, |
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"negative_prompt": negative_prompt |
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} |
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logger.info("Sending final prompt to Stable Diffusion API...") |
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response_sd = requests.post(url=f'{url_sd}/sdapi/v1/txt2img', json=payload_sd) |
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logger.info("Received response from Stable Diffusion API.") |
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r_sd = response_sd.json() |
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image = Image.open(io.BytesIO(base64.b64decode(r_sd['images'][0]))) |
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image.save('output.png') |
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logger.info("Image saved as output.png.") |
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