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Browse files- app.py +47 -4
- requirements.txt +1 -0
app.py
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import gradio as gr
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# import dependencies
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import gradio as gr
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from openai import OpenAI
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import os
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import re
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# define the openai key
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api_key = "sk-proj-UCoZZMs4MyfyHwXdHjT8T3BlbkFJjYkSZyPfIPNqXfXwoekm"
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# make an instance of the openai client
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client = OpenAI(api_key = api_key)
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# finetuned model instance
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finetuned_model = "ft:gpt-3.5-turbo-0125:personal::9qGC8cwZ"
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# function to humanize the text
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def humanize_text(AI_text):
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"""Humanizes the provided AI text using the fine-tuned model."""
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response = completion = client.chat.completions.create(
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model=finetuned_model,
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temperature = 0.85,
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messages=[
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{"role": "system", "content": """
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You are a text humanizer.
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You humanize AI generated text.
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The text must appear like humanly written.
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THE INPUT AND THE OUTPUT TEXT SHOULD HAVE THE SAME FORMAT.
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THE HEADINGS AND THE BULLETS IN THE INPUT SHOULD REMAIN IN PLACE"""},
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{"role": "user", "content": f"THE LANGUAGE OF THE INPUT AND THE OUTPUT MUST BE SAME. THE SENTENCES SHOULD NOT BE SHORT LENGTH - THEY SHOULD BE SAME AS IN THE INPUT. ALSO THE PARAGRAPHS SHOULD NOT BE SHORT EITHER - PARAGRAPHS MUST HAVE THE SAME LENGTH"},
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{"role": "user", "content": f"Humanize the text. Keep the output format i.e. the bullets and the headings as it is and dont use the list of words that are not permissible. \nTEXT: {AI_text}"}
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]
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)
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humanized_text = response.choices[0].message.content.strip()
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return humanized_text
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# Gradio interface definition
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interface = gr.Interface(
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fn=humanize_text,
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inputs="textbox",
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outputs="textbox",
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title="AI Text Humanizer: NoaiGPT.com Demo",
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description="Enter AI-generated text and get a human-written version.",
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)
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# Launch the Gradio app
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interface.launch(debug = True)
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requirements.txt
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openai
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