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README.md
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---
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title: GPT
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emoji: ⛳
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colorFrom: blue
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colorTo: blue
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sdk: gradio
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sdk_version: 3.1.5
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app_file: run.py
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# GPT Golf
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Here are the rules of the game:
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- Your goal is to get GPT to say a target word in as few turns as possible.
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- Each turn, you add up to 5 words to its dialogue.
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- When you click submit, your prompt will be added to the dialogue. Then GPT will also add to the dialogue.
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- You can't say the target word, but as soon as GPT does, you win!
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title: GPT-Golf
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app_file: run.py
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emoji: 🤗
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colorFrom: pink
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colorTo: pink
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---
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requirements.txt
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torch
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transformers
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run.py
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import gradio as gr
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import json
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import random
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from transformers import pipeline
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generator = pipeline("text-generation", model="gpt2", max_length=60)
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with open("wordlist.json") as wordlist_json:
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wordlist = json.load(wordlist_json)
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def autocomplete(text):
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generated_text =
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return generated_text
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with gr.Blocks() as demo:
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gr.Markdown(
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"""
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# GPT Golf
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How many turns will it take you to get GPT to say the target word?
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Here are the rules of the game:
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- Your goal is to get GPT to say a target word in as few turns as possible.
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demo.launch(
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import gradio as gr
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import json
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import random
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# from transformers import pipeline
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# generator = pipeline("text-generation", model="gpt2", max_length=60)
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with open("wordlist.json") as wordlist_json:
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wordlist = json.load(wordlist_json)
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def autocomplete(text):
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return "more words"
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# end_text = " ".join(text.split(" ")[-30:-1])
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# generated_text = generator(
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# end_text, return_full_text=False, clean_up_tokenization_spaces=True
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# )[0]["generated_text"]
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# generated_text = generated_text.replace("\n", "")
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# return generated_text
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with gr.Blocks() as demo:
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gr.Markdown(
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"""
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# GPT Golf
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How many turns will it take you to get GPT to say the target word?
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Here are the rules of the game:
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- Your goal is to get GPT to say a target word in as few turns as possible.
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)
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demo.launch()
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test/a
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