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Browse files- README.md +13 -7
- app (1).py +22 -0
- requirements.txt +4 -0
README.md
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---
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title:
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sdk: gradio
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sdk_version:
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app_file: app.py
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---
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title: AI Humanizer
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emoji: 🧠
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colorFrom: blue
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colorTo: green
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sdk: gradio
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sdk_version: 4.16.0
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app_file: app.py
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tags:
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- text2text-generation
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- gradio
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- huggingface
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- ai-humanizer
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# 🤖 AI Humanizer
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Make robotic or AI-generated text sound more natural, friendly, and human. This app uses `MBZUAI/LaMini-Flan-T5-783M` via Hugging Face Inference API and Gradio.
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app (1).py
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import gradio as gr
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from transformers import pipeline
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# Load the model
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generator = pipeline("text2text-generation", model="MBZUAI/LaMini-Flan-T5-783M")
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# Define the function
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def humanize_text(input_text):
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if not input_text.strip():
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return "Please enter some text to humanize."
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prompt = "Paraphrase this more naturally: " + input_text
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result = generator(prompt, max_length=256, do_sample=True)
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return result[0]["generated_text"]
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# Interface to expose /run/predict
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gr.Interface(
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fn=humanize_text,
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inputs=gr.Textbox(lines=6, label="Input Text"),
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outputs=gr.Textbox(label="Humanized Text"),
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title="🤖 AI Humanizer",
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description="Enter AI-generated or robotic text and get a more natural, human-sounding version."
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).launch()
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requirements.txt
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gradio>=4.16.0
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transformers
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torch
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sentencepiece
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