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Guess It

A micro web project using the flask web framework for python.

You upload an image and get a list of 10 guesses about what the picture contains.

We are using the pretrained Resnet50 for classification.

Project includes both the server and client components.

Install and Run

Client

To run the client you don't need to require any installation. Just open the index.html file in your browser.


Server

The server is a flask app that uses a tensorflow model to make predictions.

To install the server, you need to install the requirements in a virtual environment.

It is suggested that you create a virtual environment using the python venv module.

python3 -m venv venv

Then activate the virtual environment

source venv/bin/activate

Then install the requirements from the 'requirements.txt' file.

pip install -r requirements.txt

To start the server, navigate to the server directory and use the flask run command.

cd server
flask run

The server will start on port 5000 by default. Ensure that no other process is using that port.


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A micro web project using ResNet50

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