From Demo to Product: The All-in-One Agent Library
Introduction
DemoGPT is an innovative open-source project that is revolutionizing the development of applications based on Large Language Models (LLMs). The project harnesses the power of GPT-3.5-turbo to automate the generation of LangChain code. The resulting code is then transformed into user-friendly applications using Streamlit. This allows users to experience highly interactive applications that turn their instructions into functioning software.
How DemoGPT Works
- Planning: It begins with the generation of a plan based on user instructions.
- Task Creation: Specific tasks are created from the provided plan.
- Code Snippet Generation: Tasks are translated into corresponding code snippets.
- Final Code Assembly: Finally, these snippets are combined to form a complete and interactive application.
This streamlined process transforms user input into engaging Streamlit applications, demonstrating DemoGPT's commitment to enriching user experiences.
Future Enhancements
DemoGPT plans to integrate a public database to access similar examples, accelerating the development process. It also aims to remain flexible by incorporating any LLM model that meets its performance standards, ensuring it stays on the cutting edge of technology.
The platform's development process is iterative, with extensive testing to refine each code segment. This dedication to quality ensures an efficient, error-free experience for users, pushing the limits of traditional coding paradigms by crafting intelligent and inclusive solutions.
Architecture
DemoGPT employs a robust architecture that organizes user instructions into structured plans, facilitating the transition from code generation to application development. This architecture is depicted in detail in the project documentation.
Installation
To get started with DemoGPT, you can easily install it using pip:
pip install demogpt
Alternatively, you can clone the source code from the GitHub repository to explore its internals:
git clone https://github.com/melih-unsal/DemoGPT.git
cd DemoGPT
pip install .
Usage
Once installed, DemoGPT is simple to use:
For package use, run:
demogpt
For Python interface use:
from demogpt import DemoGPT
agent = DemoGPT(model_name="gpt-3.5-turbo")
instruction = "Your instruction here"
title = "Your title here"
code = ""
for phase in agent(instruction=instruction, title=title):
print(phase)
if phase["done"]:
code = phase["code"]
print(code)
For running from source code:
streamlit run demogpt/app.py
Contributions and Citations
DemoGPT invites contributions, whether in bug fixes, feature enhancements, or documentation improvements. The project has also been cited by various scholarly articles, highlighting its impact on AI-driven development tools.
License
DemoGPT is licensed under the MIT License, reflecting its commitment to open-source collaboration and innovation.
For more information, visit the official website or view the full documentation in the DemoGPT docs.
This project marks a significant step forward in LLM-based application development, creating a future where applications are not only smart but also exceptionally interactive and user-centric. Join DemoGPT on this exciting journey into the future of AI-driven solutions!