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README.md

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-An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
+# Paragraph-to-Question Generator (Auto Q&A for HF Dataset)
+
+This Hugging Face Space is an interactive demo that generates question and answer pairs from paragraph-based data. It uses advanced NLP models to parse text, generate questions, and lets you update a dataset hosted on Hugging Face. Each saved Q&A entry is automatically timestamped with the current month and year.
+
+## Features
+
+- **Extract Facts:** Automatically break down your input text (separated by paragraphs) into facts.
+- **Customizable Generation:** Adjust parameters such as minimum/maximum token length, temperature, top-k, and top-p sampling to influence the question generation.
+- **Editable Q&A JSON:** Review and modify the generated Q&A JSON output before submitting.
+- **Dataset Update:** Save your generated Q&A entries (with additional timestamp information) to a remote dataset on the Hugging Face Hub (`University_Inquiries_AI_Chatbot/dataset.json`).
+
+## Setup Instructions
+
+### 1. Hugging Face Secrets
+
+Add your Hugging Face token as a secret in your Space. In your Space settings, add a secret:
+