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tejas0905/
Ner_Project

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Named Entity Recognition Studio

A professional Gradio web app for Named Entity Recognition. It detects people, organizations, locations, and miscellaneous entities using dslim/bert-base-NER.

This project does not perform sentiment analysis.

Files

app.py - Gradio UI and NER logic
requirements.txt - dependencies
.gitignore - ignored local files
README.md - setup and deployment guide

Run in VS Code

Open VS Code.
Open this folder:

C:\Users\tejas\Desktop\ner_project
Open the terminal:

Terminal > New Terminal
Create a virtual environment with Python 3.11:

py -3.11 -m venv .venv

If py -3.11 is not available, install Python 3.11 first and then run the command again.
Activate it in PowerShell:

.\.venv\Scripts\Activate.ps1
Install dependencies:

pip install -r requirements.txt
Run the app:

python app.py
Open the local URL shown in the terminal, usually:

http://127.0.0.1:7860

Deploy to Hugging Face Spaces

Browser Upload

Sign in to Hugging Face.
Go to Spaces.
Click Create new Space.
Choose Gradio as the SDK.
Create the Space.
Upload:

text
1app.py 2requirements.txt 3README.md 4.gitignore
Wait for the build to finish.

Git Push

bash

git init
git add .
git commit -m "Create named entity recognition app"
git remote add space https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME
git branch -M main
git push --set-upstream space main

Replace YOUR_USERNAME and YOUR_SPACE_NAME with your Hugging Face details.

Notes

First run downloads the model, so it can take a few minutes.
Hugging Face Spaces installs packages from requirements.txt.
Hugging Face Spaces is configured to use Python 3.11.
The app is NER-only and does not include sentiment analysis.

tejas0905/Ner_Project