Ensure you have Python 3.11 installed.

1. Create a virtual environment: python -m venv venv
2. Activate it:
   • On Windows: venv\Scripts\activate
   • On macOS/Linux: source venv/bin/activate
3. Install libraries with pip: pip install transformers torch

1. Navigate to the lambda-service folder.
2. Create a Python script, e.g., download_model.py.
3. Copy and paste the provided code into the script.
4. Execute the script: python download_model.py

To overcome Lambda environment constraints.

Create a file named requirements.txt and list the required libraries:

torch
transformers

Use a Dockerfile to define the Docker image setup:

# Dockerfile
FROM public.ecr.aws/lambda/python:3.11

COPY requirements.txt ./
RUN python3 -m pip install -r requirements.txt --target ${LAMBDA_TASK_ROOT}

COPY ./ ${LAMBDA_TASK_ROOT}/

CMD [ "handler.handler" ]

Build the Docker image using the following command:

docker build -t sentiment-analyzer:latest .

Run the Docker image using the following command:

docker run -p 9000:8080 sentiment-analyzer:latest

Test the function with curl:

curl -XPOST "http://localhost:9000/2015-03-31/functions/function/invocations" -d '{"text": "I love AI"}'