Gradio App Development and Deployment on Hugging Face

Project Title

Gradio App Development and Deployment on Hugging Face

Project Description

Patrick required assistance with transforming a Python script into a web application using Gradio and deploying it on Hugging Face. The project included integrating a complex chatbot script capable of interacting with PDF files and directories, managing dependencies, and ensuring a seamless user experience on Hugging Face.

Key Responsibilities

Conducted an initial consultation to understand Patrick’s requirements and desired outcomes.
Reviewed and modified the provided Python script to ensure compatibility with Gradio.
Developed a Gradio interface to interact with the chatbot script, including features for uploading and querying PDF files and directories.
Deployed the Gradio app on Hugging Face, ensuring it was accessible and functional.
Provided troubleshooting and support for deployment issues, including handling dependencies and environment-specific bugs.
Offered guidance on making the Hugging Face repository private and managing file privacy.

Technologies Used

Language: Python
Library: Gradio
Deployment: Hugging Face
Tools: Google Colab & Git

Challenges Faced:

Resolving dependency issues and runtime errors related to the LLM predictor model and the whisper module.
Ensuring the chatbot accurately processed and responded to queries based on provided PDF files and directories.
Managing file privacy on Hugging Face and ensuring the app rebuilt correctly after modifications.

Results Achieved

Successfully developed and deployed a Gradio app on Hugging Face, capable of generating accurate and comprehensive responses to user queries.
Enhanced the script to handle both PDF files and directories efficiently.
Ensured the app’s stability and functionality, providing detailed instructions and support for further modifications.
Received positive feedback from Patrick for the quality of the work and the responsiveness in addressing issues.