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Browse files- README.md +6 -12
- app.py +23 -0
- requirements.txt +3 -0
README.md
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sdk_version: 5.39.0
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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# AuthorMist Humanizer App
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This is a Hugging Face Space using the `authormist/authormist-originality` model to humanize AI text.
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It paraphrases input into more human-like writing, reducing AI detection risk.
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Model Source: https://huggingface.co/authormist/authormist-originality
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app.py
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "authormist/authormist-originality"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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def humanize_text(text):
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prompt = f"Please paraphrase the following text to make it human-like:\n\n{text}\n\nParaphrased text:"
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(inputs.input_ids, max_new_tokens=512, temperature=0.7, top_p=0.9)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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if "Paraphrased text:" in response:
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return response.split("Paraphrased text:")[1].strip()
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return response.strip()
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gr.Interface(
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fn=humanize_text,
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inputs=gr.Textbox(lines=10, placeholder="Paste AI-written text here..."),
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outputs="text",
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title="AuthorMist AI Humanizer",
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description="Turns AI-generated text into human-like writing to reduce detection by tools like GPTZero."
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).launch()
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requirements.txt
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transformers
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torch
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gradio
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