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revery gradio sdk version
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A newer version of the Gradio SDK is available: 5.7.1

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metadata
title: Conformity Protein Dynamics
emoji: 🧬🪬
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: true
license: mit
short_description: use the ESM3 model to predict protein structures

To create a virtual environment on a Windows machine and run your Gradio app (app.py) after installing the dependencies listed in requirements.txt, follow these steps:

1. Open a Command Prompt or PowerShell window

  • Press Windows + R, type cmd, and hit Enter.
  • Alternatively, search for "PowerShell" and open it.

2. Navigate to your project directory

Use the cd command to change directories to where your app.py and requirements.txt are located:

cd path\to\your\project

For example, if your project is located in C:\Users\YourUser\projects\my-gradio-app, you would run:

cd C:\Users\YourUser\projects\my-gradio-app

3. Create a virtual environment

Run the following command to create a virtual environment called venv:

python -m venv venv

This will create a folder called venv that contains the virtual environment.

4. Activate the virtual environment

To activate the virtual environment, run:

  • On Command Prompt:

    venv\Scripts\activate
    
  • On PowerShell:

    .\venv\Scripts\Activate
    

After activation, your prompt should change to show (venv) indicating that the virtual environment is active.

5. Install the required packages

Now that the virtual environment is activated, install the dependencies from requirements.txt:

pip install -r requirements.txt

This will install all the packages listed in requirements.txt within your virtual environment.

6. Run your Gradio app

Once the installation is complete, you can run your Gradio app by executing:

python app.py

Your Gradio app should now be running, and you can open the provided URL (typically http://127.0.0.1:7860) in your browser to access it.

7. Deactivate the virtual environment

When you're done, you can deactivate the virtual environment by running:

deactivate

This will return you to your system's default Python environment.