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README.md

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-<p align="center">
-  <img src="assets/images/image_logo.png" alt="Hugging Research logo" width="120" />
-</p>
-<h1 align="center">Hugging Research</h1>
-
-Hugging Research is a lightweight CodeAgent‑based research assistant for the Hugging Face Hub (models, datasets, Spaces, users, collections, papers). It gathers links via dedicated tools and organizes them for easy review.
-
-![screenshot](assets/images/ss1.png)
-
-## What it does
-- Finds relevant models/datasets/Spaces/papers on the Hub
-- Uses domain‑restricted search for tutorials and docs
-- Avoids hallucinated links (only cites tool‑returned URLs)
-- Organizes the found links into a simple, categorized view in the Report view
-
-## Quick start
-1) Clone and install
-```bash
-git clone https://github.com/mcdaqc/hugging-research
-cd hugging-research
-python -m venv venv
-venv\Scripts\activate  # Windows
-pip install -r requirements.txt
-```
-
-2) Configure your environment
-```bash
-cp .env.template .env
-# Edit .env and set:
-# HF_TOKEN=hf_xxx                # only for the inference model
-# MODEL_ID=Qwen/Qwen3-Coder-480B-A35B-Instruct  # optional
-```
-
-3) Run the app
-```bash
-python app.py
-# open http://localhost:7860
-```
-
-4) Use the app
-- Enter your Hugging Face API key in the sidebar
-- Click a Basic/Medium/Advanced example, or type your query in natural language
-- Review the organized links in the Report view
-
-## Configuration
-- `HF_TOKEN`: used for the inference model (agent). Tools are anonymous/read‑only.
-- `MODEL_ID`: default `Qwen/Qwen3-Coder-480B-A35B-Instruct`.
-
-
-
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