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# Gorilla LLM Demo App 🦍👤
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This is a demo application showcasing the usage of OpenAI's language model (LLM) to interact with the Gorilla Server. The application utilizes Streamlit to create a user-friendly interface for generating and executing code based on user prompts.
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## Overview
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The Gorilla LLM Demo App is designed to:
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- Interact with the Gorilla Server using OpenAI's language model.
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- Generate code based on user prompts and selected model options.
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- Execute the generated code and display the results using Streamlit's interface.
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## Prerequisites
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Before running the Gorilla LLM Demo App, you need to have the following installed:
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- Python (3.6 or later)
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- Pip (Python package installer)
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## Installation
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1. Clone this repository to your local machine:
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```
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git clone https://github.com/yourusername/gorilla-llm-demo.git
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cd gorilla-llm-demo
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```
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1. Install the required dependencies:
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```
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pip install -r requirements.txt
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```
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## Usage
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Make sure you have cloned the repository and installed the dependencies.
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Run the Streamlit app:
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```
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streamlit run app.py
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```
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1. The application interface will open in a new browser tab. You will see the following sections:
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- Enter your prompt: Type in the prompt you want to use to generate code.
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- Select a model: Choose a model option from the dropdown list.
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- Gorilla Magic button: Click this button to initiate the code generation process.
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2. After clicking the "Gorilla Magic" button, the app will display the generated code and its execution result. The display will vary based on the selected model.
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3. You can modify the prompt and model selection and repeat the process as needed.
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Important Notes
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* The application utilizes the OpenAI API and communicates with the Gorilla Server. Ensure you have the appropriate access and API key for both services.
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* Be cautious when executing generated code, as it may have unintended consequences or security risks.
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* This application is intended for demonstration purposes and should not be used in a production environment without careful consideration and testing.
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Contributing
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Contributions to the Gorilla LLM Demo App are welcome! If you find any issues or have suggestions for improvements, please feel free to submit a pull request or open an issue.
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License
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This project is licensed under the MIT License.
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## Demonstration
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### User Interface
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1. User can enter a prompt and also choose the optional models provided by Gorilla
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2. Sample User input
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3. Output Code (this is a subprocess,stored and run in local enviroment)
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