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Browse files- chatgpt_prompts_bart_long.py +40 -0
- requirements.txt +3 -0
chatgpt_prompts_bart_long.py
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# -*- coding: utf-8 -*-
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"""chatgpt-prompts-bart-long.ipynb
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Automatically generated by Colaboratory.
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Original file is located at
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https://colab.research.google.com/drive/185ao64S-GtYsW71yesPrKvnywS3UKxQl
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https://huggingface.co/merve/chatgpt-prompts-bart-long
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# GPT to create ChatGPT prompts
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"""
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pip install transformers -q
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from transformers import AutoTokenizer, TFAutoModelForSeq2SeqLM
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# Load the tokenizer and model
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tokenizer = AutoTokenizer.from_pretrained("merve/chatgpt-prompts-bart-long")
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model = TFAutoModelForSeq2SeqLM.from_pretrained("merve/chatgpt-prompts-bart-long")
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# Define a function to generate text
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def generate_text(prompt):
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# Encode the prompt
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inputs = tokenizer.encode(prompt, return_tensors='pt')
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# Generate a sequence of tokens
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outputs = model.generate(inputs, max_length=250, do_sample=True, temperature=0.7)
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# Decode the output tokens to text
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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!pip install gradio
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!pip install --upgrade pillow
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import gradio as gr
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ui=gr.Interface(fn=generate_text,inputs="text",outputs="text")
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ui.launch()
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requirements.txt
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transformers
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gradio
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pillow
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