Update README.md

README.md

@@ -2,50 +2,45 @@
 
 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.
 
-
 ## Features
 
 - **Multi-Temperature Evaluation**: Tests multiple temperature settings to find the best output for a given prompt.
-- **User Feedback Integration**: Allows users to provide feedback on generated outputs, which can be used to inform the selection of the optimal temperature.
 - **Automatic or Manual Selection**: Supports both automatic selection of the best output based on scores and manual selection by presenting options to the user.
 - **Customizable Temperature Range**: Users can define a custom range of temperatures to be tested for each prompt.
 - **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.
 
-
 ## Installation
 
 To install AutoTemp, you can simply clone the repository and install the required dependencies.
 
+
 git clone https://github.com/elder-plinius/AutoTemp.git
 cd AutoTemp
 pip install -r requirements.txt
 
-
-## OpenAI API Key
+# OpenAI API Key
 
 Before running AutoTemp, you need to set up your API key in an .env file at the root of the project:
 
 OPENAI_API_KEY='your-api-key-here'
 
 This file should not be committed to your version control system as it contains sensitive information.
+Usage
 
-
-## Usage
-
-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):
+To use AutoTemp, simply run the autotemp.py script with Python:
 
 python autotemp.py
 
 
-Enter your prompt in line 81:
-
-prompt = "YOUR-PROMPT-HERE"
+You can pass your prompt directly into the AutoTemp class instance within the script.
 
 
-## Configuration
+# Configuration
 
-You can customize the behavior of AutoTemp by setting the following parameters when initializing AutoTempAgent:
+You can customize the behavior of AutoTemp by setting the following parameters when initializing AutoTemp:
 
     default_temp: The default temperature to use for initial output.
     alt_temps: A list of alternative temperatures to evaluate.
     auto_select: Whether to automatically select the best output or present options to the user.
+    max_workers: The maximum number of threads to use for concurrent API calls.
+    model_version: Specifies the model version to use, such as "gpt-3.5-turbo" or "gpt-4".