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Visual Question Answer (VQA) software! Powered by Flask, this project seamlessly combines images and questions to generate accurate responses. Explore the world of interactive visual understanding with ease.

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Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
resources		resources
static/css		static/css
templates		templates
README.md		README.md
VQA.py		VQA.py
requirements.txt		requirements.txt
server.py		server.py

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VQA

Running the app locally

Create virtual enviornment

python -m venv venv

Activate the virtual enviornment

venv\Scripts\activate

Install Dependent Library

pip install -r requirements.txt

Run the server.py file

python server.py

The app will run on http://127.0.0.1:5000/ in the browser.

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Visual Question Answer (VQA) software! Powered by Flask, this project seamlessly combines images and questions to generate accurate responses. Explore the world of interactive visual understanding with ease.

python flask jupyter-notebook html-css-javascript vqa-dataset

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