This Python script powers a ChatBot designed to provide expert-level, concise, and precise Linux command responses to user queries. Utilizing OpenAI's GPT-4, the ChatBot offers accurate and context-aware command suggestions, tailoring its responses to the needs of Linux enthusiasts and professionals alike.

• Expert in Linux Commands: Specializes in Linux commands, delivering concise command examples directly relevant to user queries.
• Concise Command Responses: Focuses on delivering the exact commands needed without unnecessary detail.
• Environment-Specific Commands: Generates commands tailored to specific environment variables for enhanced compatibility.
• Precise File Locations: Includes commands to determine file locations or names when uncertain, ensuring accuracy.
• Error Handling: Redirects error output to null for clean command output presentation.
• Sudo Permissions: Automatically includes 'sudo' for commands that likely require elevated permissions.
• Conversation History: Maintains a log of interactions, allowing for context recall in ongoing conversations.
• Command Execution: Offers an option to execute commands directly, with confirmation prompts for safety.
• Command Output Display: Shows the results of executed commands in the terminal, providing immediate feedback.
• Persistent Conversation Logs: Stores conversation history in "conversation.txt" to resume conversations across sessions.
• Terminal Result Logging: Logs executed commands and outputs in "terminal_result.txt" for future reference.
• Keyboard Interrupt Handling: Gracefully manages Ctrl+C interrupts, allowing users to exit or resume conversations smoothly.

This Python script utilizes the OpenAI GPT model to offer a versatile text processing tool capable of handling various tasks, including extracting text from URLs and engaging in conversational interactions. It leverages OpenAI's powerful GPT-4 model to understand and generate responses based on the user's input, making it an invaluable asset for automating responses and processing textual data.

• Text Extraction from URLs: Automatically fetches and cleans text from any provided URL, making it easy to process web content.
• Conversational Interface: Engages users in a conversational manner, utilizing OpenAI's GPT-4 for generating responses.
• Customizable Responses: Tailored responses based on user input, conversation history, and specific instructions coded within the script.
• Error Handling and Logging: Efficiently handles errors and logs conversation history for review and continuation of sessions.
• Dynamic Content Processing: Adapts responses based on dynamic inputs and previous interactions, ensuring relevant and context-aware outputs.

GPTpy is a Python utility designed to facilitate interaction with the Generative Pre-trained Transformer (GPT) models. It simplifies generating responses, managing conversation logs, and executing dynamically generated Python code snippets.

• Generate and execute Python code snippets based on GPT model responses.
• Save and manage conversation histories for review and auditing.
• Allow dynamic interaction with generated code, including running and capturing output.

• Python 3.x
• An OpenAI API key
• Python packages: openai, colorama, requests, beautifulsoup4

1. Clone the repository or download the script to your local machine.
2. Install the required dependencies by running:

pip install openai colorama requests beautifulsoup4

3. Set your OpenAI API key as an environment variable:

export OPENAI_API_KEY='your_api_key_here'

1. Run the Python script to initiate the ChatBot.
2. To exit, either type "exit" or use the keyboard interrupt (Ctrl+C).

This project is made available under the MIT License - see the LICENSE file for details.

Contributions are welcome! Feel free to fork the project, make changes, and submit pull requests. For bugs, feature requests, or feedback, please open an issue.