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Remove specialized code for gpt-4chan
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oobabooga
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@ -1,73 +0,0 @@
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#parent #container {
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background-color: #eef2ff;
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padding: 17px;
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}
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#parent #container .reply {
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background-color: rgb(214 218 240);
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border-bottom: 1px solid rgb(183 197 217);
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border-image: none 100% 1 0 stretch;
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border-left: 0 none rgb(0 0 0);
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border-right: 1px solid rgb(183 197 217);
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color: rgb(0 0 0);
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display: table;
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font-family: arial, helvetica, sans-serif;
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font-size: 13.3333px;
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margin: 4px 0;
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overflow: hidden hidden;
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padding: 4px 2px;
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}
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#parent #container .number {
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color: rgb(0 0 0);
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font-family: arial, helvetica, sans-serif;
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font-size: 13.3333px;
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width: 342.65px;
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margin-right: 7px;
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}
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#parent #container .op {
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color: rgb(0 0 0);
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font-family: arial, helvetica, sans-serif;
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font-size: 13.3333px;
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margin: 4px 0 8px;
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overflow: hidden hidden;
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}
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#parent #container .op blockquote {
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margin-left: 0 !important;
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}
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#parent #container .name {
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color: rgb(17 119 67);
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font-family: arial, helvetica, sans-serif;
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font-size: 13.3333px;
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font-weight: 700;
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margin-left: 7px;
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}
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#parent #container .quote {
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color: rgb(221 0 0);
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font-family: arial, helvetica, sans-serif;
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font-size: 13.3333px;
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text-decoration: underline solid rgb(221 0 0);
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text-decoration-thickness: auto;
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}
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#parent #container .greentext {
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color: rgb(120 153 34);
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font-family: arial, helvetica, sans-serif;
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font-size: 13.3333px;
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}
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#parent #container blockquote {
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margin: 0 !important;
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margin-block: 1em 1em;
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margin-inline: 40px 40px;
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margin: 13.33px 40px !important;
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}
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#parent #container .message_4chan {
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color: black;
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border: none;
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}
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@ -13,29 +13,6 @@ Source: https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/1126
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This file will be automatically detected the next time you start the web UI.
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## GPT-4chan
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[GPT-4chan](https://huggingface.co/ykilcher/gpt-4chan) has been shut down from Hugging Face, so you need to download it elsewhere. You have two options:
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* Torrent: [16-bit](https://archive.org/details/gpt4chan_model_float16) / [32-bit](https://archive.org/details/gpt4chan_model)
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* Direct download: [16-bit](https://theswissbay.ch/pdf/_notpdf_/gpt4chan_model_float16/) / [32-bit](https://theswissbay.ch/pdf/_notpdf_/gpt4chan_model/)
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The 32-bit version is only relevant if you intend to run the model in CPU mode. Otherwise, you should use the 16-bit version.
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After downloading the model, follow these steps:
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1. Place the files under `models/gpt4chan_model_float16` or `models/gpt4chan_model`.
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2. Place GPT-J 6B's config.json file in that same folder: [config.json](https://huggingface.co/EleutherAI/gpt-j-6B/raw/main/config.json).
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3. Download GPT-J 6B's tokenizer files (they will be automatically detected when you attempt to load GPT-4chan):
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```
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python download-model.py EleutherAI/gpt-j-6B --text-only
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```
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When you load this model in default or notebook modes, the "HTML" tab will show the generated text in 4chan format:
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## Using LoRAs with GPTQ-for-LLaMa
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This requires using a monkey patch that is supported by this web UI: https://github.com/johnsmith0031/alpaca_lora_4bit
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@ -16,8 +16,6 @@ image_cache = {}
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with open(Path(__file__).resolve().parent / '../css/html_readable_style.css', 'r') as f:
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readable_css = f.read()
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with open(Path(__file__).resolve().parent / '../css/html_4chan_style.css', 'r') as css_f:
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_4chan_css = css_f.read()
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with open(Path(__file__).resolve().parent / '../css/html_instruct_style.css', 'r') as f:
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instruct_css = f.read()
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@ -118,63 +116,6 @@ def generate_basic_html(string):
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return string
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def process_post(post, c):
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t = post.split('\n')
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number = t[0].split(' ')[1]
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if len(t) > 1:
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src = '\n'.join(t[1:])
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else:
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src = ''
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src = re.sub('>', '>', src)
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src = re.sub('(>>[0-9]*)', '<span class="quote">\\1</span>', src)
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src = re.sub('\n', '<br>\n', src)
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src = f'<blockquote class="message_4chan">{src}\n'
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src = f'<span class="name">Anonymous </span> <span class="number">No.{number}</span>\n{src}'
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return src
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def generate_4chan_html(f):
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posts = []
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post = ''
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c = -2
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for line in f.splitlines():
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line += "\n"
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if line == '-----\n':
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continue
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elif line.startswith('--- '):
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c += 1
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if post != '':
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src = process_post(post, c)
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posts.append(src)
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post = line
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else:
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post += line
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if post != '':
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src = process_post(post, c)
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posts.append(src)
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for i in range(len(posts)):
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if i == 0:
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posts[i] = f'<div class="op">{posts[i]}</div>\n'
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else:
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posts[i] = f'<div class="reply">{posts[i]}</div>\n'
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output = ''
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output += f'<style>{_4chan_css}</style><div id="parent"><div id="container">'
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for post in posts:
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output += post
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output += '</div></div>'
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output = output.split('\n')
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for i in range(len(output)):
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output[i] = re.sub(r'^(>(.*?)(<br>|</div>))', r'<span class="greentext">\1</span>', output[i])
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output[i] = re.sub(r'^<blockquote class="message_4chan">(>(.*?)(<br>|</div>))', r'<blockquote class="message_4chan"><span class="greentext">\1</span>', output[i])
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output = '\n'.join(output)
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return output
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def make_thumbnail(image):
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image = image.resize((350, round(image.size[1] / image.size[0] * 350)), Image.Resampling.LANCZOS)
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if image.size[1] > 470:
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@ -110,9 +110,7 @@ def load_model(model_name, loader=None):
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def load_tokenizer(model_name, model):
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tokenizer = None
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path_to_model = Path(f"{shared.args.model_dir}/{model_name}/")
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if any(s in model_name.lower() for s in ['gpt-4chan', 'gpt4chan']) and Path(f"{shared.args.model_dir}/gpt-j-6B/").exists():
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tokenizer = AutoTokenizer.from_pretrained(Path(f"{shared.args.model_dir}/gpt-j-6B/"))
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elif path_to_model.exists():
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if path_to_model.exists():
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if shared.args.no_use_fast:
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logger.info('Loading the tokenizer with use_fast=False.')
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@ -22,7 +22,7 @@ from modules.callbacks import (
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from modules.extensions import apply_extensions
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from modules.grammar.grammar_utils import initialize_grammar
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from modules.grammar.logits_process import GrammarConstrainedLogitsProcessor
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from modules.html_generator import generate_4chan_html, generate_basic_html
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from modules.html_generator import generate_basic_html
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from modules.logging_colors import logger
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from modules.models import clear_torch_cache, local_rank
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@ -186,23 +186,7 @@ def generate_reply_wrapper(question, state, stopping_strings=None):
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def formatted_outputs(reply, model_name):
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if any(s in model_name for s in ['gpt-4chan', 'gpt4chan']):
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reply = fix_gpt4chan(reply)
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return html.unescape(reply), generate_4chan_html(reply)
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else:
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return html.unescape(reply), generate_basic_html(reply)
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def fix_gpt4chan(s):
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"""
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Removes empty replies from gpt4chan outputs
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"""
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for i in range(10):
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s = re.sub("--- [0-9]*\n>>[0-9]*\n---", "---", s)
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s = re.sub("--- [0-9]*\n *\n---", "---", s)
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s = re.sub("--- [0-9]*\n\n\n---", "---", s)
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return s
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return html.unescape(reply), generate_basic_html(reply)
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def fix_galactica(s):
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@ -1,6 +0,0 @@
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-----
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--- 865467536
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Hello, AI frens!
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How are you doing on this fine day?
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--- 865467537
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