If this parameter is not provided, the revChatGPT package will generate a new conversation ID for each message that the bot receives. The conversation_id parameter in the Chatbot constructor is used to specify the ID of the conversation that the bot should use. The value is read from the OPENAI_API_KEY environment variable. It specifies the API token for the OpenAI account that the bot will use to authenticate with the GPT-3 API. The ChatGPTConfig dictionary at the top of the app.py script contains the configuration for the revChatGPT package. The bot will respond with a generated message based on the GPT-3 model. For example, you can type hello to send the message "hello" to the bot. Once the bot is running, you can mention it in a Slack channel to send it a message. You can then run the app.py script to start the bot. You also need to set SLACK_SIGNING_SECRET and SLACK_BOT_TOKEN environment variables after creating the Slack App.
SLACK BOT PYTHON INSTALL
To use the bot, you will need to install the dependencies and set the OPENAI_API_KEY environment variable that you can get from. This is done in a separate thread to prevent the session from expiring while the bot is handling requests. The revChatGPT package is used to handle authentication and communication with the GPT-3 API, and it is also used to refresh the session with the GPT-3 API on a regular basis. When the bot receives a app_mention event, it extracts the user's message from the event payload, sends it to the revChatGPT package to generate a response, and then sends the response back to the user via Slack. It is designed to be used with the Slack Events API, and it listens for app_mention events, which are triggered when a user mentions the bot in a Slack channel. This is a simple Slackbot that uses the acheong08/ChatGPT revChatGPT package to respond to messages in Slack.
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