Step 1: Clone the Repository.

Clone the repository containing the Streamlit app to your local machine.

git clone https://github.com/feliciien/integrating-dall-e-2-api-with-trulens-elevating-image-generation-capabilities
cd dall-e

Step 2: Create and Activate a Virtual Environment

Create a virtual environment to isolate the dependencies for the app.

python3.8 -m venv venv
source venv/bin/activate

Step 3: Install Dependencies

Install the required Python dependencies from the requirements.txt file.

pip install -r requirements.txt

Step 4: Integrate TruLens Evals

Implement TruLens Evals to enhance the DALL-E 2 output. Follow TruLens documentation here or integration guide for specific instructions.

import sys
!{sys.executable} -m pip install trulens
!{sys.executable} -m pip install torchvision
!{sys.executable} -m pip install matplotlib

### Step 5: Create and Activate a Conda Environment for DALL-E

Create a Conda environment named "dall-e" to isolate the dependencies for the app.

```bash
conda create -n dall-e

Activate the "dall-e" Environment

Activate the "dall-e" environment using the following command:

conda activate dall-e

Install Necessary Libraries

Install the necessary libraries using pip:

pip install streamlit langchain trulens-eval openai

Set Up Streamlit Secrets

To incorporate your OpenAI API key and HuggingFace Access Token into Streamlit secrets, follow these steps:

1. Create a .streamlit/secrets.toml file within your project directory:

touch .streamlit/secrets.toml

Configure API Keys

To configure your API keys for OpenAI and HuggingFace, follow these steps:

1. create .streamlit/secrets.toml file in your project directory.

2. Add the following lines to the file, replacing "YOUR_API_KEY" and "YOUR_ACCESS_TOKEN" with your respective keys:

OPENAI_API_KEY = "YOUR_API_KEY"
HUGGINGFACE_API_KEY = "YOUR_ACCESS_TOKEN"

Step 6: Run the Streamlit App

Run the Streamlit app using the streamlit command.

pip install -r requirements.txt

streamlit run main.py

Step 7: Access the App

Access the Streamlit app in your web browser by navigating to the URL provided by Streamlit, typically http://localhost:8501.

Using the DALL-E Application

1. Navigate to the Text-to-Image Feature

   Go to the sidebar and select the "Text to Image" option.

   

2. Enter Your Prompt

   Once on the "Text to Image" page, enter your prompt. For example, you can input "beautiful pitbull".

   

3. Click on Submit

   After entering your prompt, click on the "Submit" button.

4. View the Result

   You will receive the resulting image based on your prompt.

   

5. View Result in Editor

   Additionally, you can view the result in the editor, which will display the output of Truelens.