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52 lines
2.1 KiB
Markdown
52 lines
2.1 KiB
Markdown
# AutoTemp
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AutoTemp is a Python tool that enhances language model interactions by intelligently selecting the optimal temperature setting for generating responses. It leverages multiple temperature settings to produce a variety of outputs and then evaluates these outputs to determine which temperature yields the best result for a given prompt.
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## Features
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- **Multi-Temperature Evaluation**: Tests multiple temperature settings to find the best output for a given prompt.
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- **User Feedback Integration**: Allows users to provide feedback on generated outputs, which can be used to inform the selection of the optimal temperature.
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- **Automatic or Manual Selection**: Supports both automatic selection of the best output based on scores and manual selection by presenting options to the user.
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- **Customizable Temperature Range**: Users can define a custom range of temperatures to be tested for each prompt.
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- **Easy Integration**: Designed to work with OpenAI's GPT-3.5 or GPT-4 and is compatible with other language models that support temperature settings.
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## Installation
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To install AutoTemp, you can simply clone the repository and install the required dependencies.
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git clone https://github.com/elder-plinius/AutoTemp.git
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cd AutoTemp
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pip install -r requirements.txt
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## OpenAI API Key
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Before running AutoTemp, you need to set up your API key in an .env file at the root of the project:
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OPENAI_API_KEY='your-api-key-here'
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This file should not be committed to your version control system as it contains sensitive information.
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## Usage
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To use AutoTemp, simply run the `autotemp.py` script with Python and follow the prompts (saying "no" you are not satisfied will trigger AutoTemp to optimize your output):
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python autotemp.py
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Enter your prompt in line 81:
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prompt = "YOUR-PROMPT-HERE"
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## Configuration
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You can customize the behavior of AutoTemp by setting the following parameters when initializing AutoTempAgent:
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default_temp: The default temperature to use for initial output.
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alt_temps: A list of alternative temperatures to evaluate.
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auto_select: Whether to automatically select the best output or present options to the user.
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