Hands-On AI: Building and Deploying LLM-Powered Apps
This is the repository for the LinkedIn Learning course Hands-On AI: Building and Deploying LLM-Powered Apps. The full course is available from [LinkedIn Learning][lil-course-url].
See the readme file in the main branch for updated instructions and information.
Lab3: Enabling Load PDF to Chainlit App
Building on top of the current simplified version of ChatGPT using Chainlit, we now going to add loading PDF capabilities into the application.
In this lab, we will utilize the build in PDF loading and parsing connectors inside Langchain, load the PDF, and chunk the PDFs into individual pieces with their associated metadata.
Exercises
We will build on top of our existing chainlit app code in app/app.py in the app folder. As in our previous app, we added some template code and instructions in app/app.py
Please go through the exercises in
app/app.py.Please lanuch the application by running the following command on the Terminal:
chainlit run app/app.py -w
Solution
Please see app/app.py.
Alternatively, to launch the application, please run the following command on the Terminal:
chainlit run app/app.py -w