mirror of
https://github.com/0xacx/chatGPT-shell-cli.git
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324 lines
9.4 KiB
Bash
Executable File
324 lines
9.4 KiB
Bash
Executable File
#!/bin/bash
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CHAT_INIT_PROMPT="You are ChatGPT, a Large Language Model trained by OpenAI. You will be answering questions from users. You answer as concisely as possible for each response (e.g. don’t be verbose). If you are generating a list, do not have too many items. Keep the number of items short. Before each user prompt you will be given the chat history in Q&A form. Output your answer directly, with no labels in front. Do not start your answers with A or Anwser. You were trained on data up until 2021. Today's date is $(date +%d/%m/%Y)"
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SYSTEM_PROMPT="You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible. Current date: $(date +%d/%m/%Y). Knowledge cutoff: 9/1/2021."
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CHATGPT_CYAN_LABEL="\n\033[36mchatgpt \033[0m"
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# error handling function
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# $1 should be the response body
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handle_error() {
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if echo "$1" | jq -e '.error' >/dev/null; then
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echo -e "Your request to Open AI API failed: \033[0;31m$(echo $1 | jq -r '.error.type')\033[0m"
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echo $1 | jq -r '.error.message'
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exit 1
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fi
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}
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# request to OpenAI API completions endpoint function
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# $1 should be the request prompt
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request_to_completions() {
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request_prompt=$1
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response=$(curl https://api.openai.com/v1/completions \
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-sS \
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-H 'Content-Type: application/json' \
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-H "Authorization: Bearer $OPENAI_KEY" \
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-d '{
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"model": "'"$MODEL"'",
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"prompt": "'"${request_prompt}"'",
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"max_tokens": '$MAX_TOKENS',
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"temperature": '$TEMPERATURE'
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}')
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}
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# request to OpenAI API image generations endpoint function
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# $1 should be the prompt
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request_to_image() {
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prompt=$1
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image_response=$(curl https://api.openai.com/v1/images/generations \
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-sS \
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-H 'Content-Type: application/json' \
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-H "Authorization: Bearer $OPENAI_KEY" \
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-d '{
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"prompt": "'"${prompt#*image:}"'",
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"n": 1,
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"size": "'"$SIZE"'"
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}')
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}
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# request to OpenAPI API chat completion endpoint function
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# $1 should be the message(s) formatted with role and content
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request_to_chat() {
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message=$1
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response=$(curl https://api.openai.com/v1/chat/completions \
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-sS \
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-H 'Content-Type: application/json' \
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-H "Authorization: Bearer $OPENAI_KEY" \
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-d '{
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"model": "'"$MODEL"'",
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"messages": [
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{"role": "system", "content": "'"$SYSTEM_PROMPT"'"},
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'"$message"'
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],
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"max_tokens": '$MAX_TOKENS',
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"temperature": '$TEMPERATURE'
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}')
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}
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# build chat context before each request for /completions (all models except
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# gpt turbo)
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# $1 should be the chat context
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# $2 should be the escaped prompt
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build_chat_context() {
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chat_context=$1
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escaped_prompt=$2
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if [ -z "$chat_context" ]; then
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chat_context="$CHAT_INIT_PROMPT\nQ: $escaped_prompt"
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else
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chat_context="$chat_context\nQ: $escaped_prompt"
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fi
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request_prompt="${chat_context//$'\n'/\\n}"
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}
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# maintain chat context function for /completions (all models except gpt turbo)
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# builds chat context from response,
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# keeps chat context length under max token limit
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# $1 should be the chat context
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# $2 should be the response data (only the text)
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maintain_chat_context() {
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chat_context=$1
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response_data=$2
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# add response to chat context as answer
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chat_context="$chat_context${chat_context:+\n}\nA: ${response_data//$'\n'/\\n}"
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# check prompt length, 1 word =~ 1.3 tokens
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# reserving 100 tokens for next user prompt
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while (($(echo "$chat_context" | wc -c) * 1, 3 > (MAX_TOKENS - 100))); do
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# remove first/oldest QnA from prompt
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chat_context=$(echo "$chat_context" | sed -n '/Q:/,$p' | tail -n +2)
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# add init prompt so it is always on top
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chat_context="$CHAT_INIT_PROMPT $chat_context"
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done
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}
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# build user chat message function for /chat/completions (gpt turbo model)
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# builds chat message before request,
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# $1 should be the chat message
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# $2 should be the escaped prompt
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build_user_chat_message() {
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chat_message=$1
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escaped_prompt=$2
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if [ -z "$chat_message" ]; then
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chat_message="{\"role\": \"user\", \"content\": \"$escaped_prompt\"}"
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else
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chat_message="$chat_message, {\"role\": \"user\", \"content\": \"$escaped_prompt\"}"
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fi
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request_prompt=$chat_message
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}
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# adds the assistant response to the message in (chatml) format
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# for /chat/completions (gpt turbo model)
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# keeps messages length under max token limit
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# $1 should be the chat message
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# $2 should be the response data (only the text)
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add_assistant_response_to_chat_message() {
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chat_message=$1
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response_data=$2
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# replace new line characters from response with space
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response_data=$(echo "$response_data" | tr '\n' ' ')
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# add response to chat context as answer
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chat_message="$chat_message, {\"role\": \"assistant\", \"content\": \"$response_data\"}"
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# transform to json array to parse with jq
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chat_message_json="[ $chat_message ]"
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# check prompt length, 1 word =~ 1.3 tokens
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# reserving 100 tokens for next user prompt
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while (($(echo "$chat_message" | wc -c) * 1, 3 > (MAX_TOKENS - 100))); do
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# remove first/oldest QnA from prompt
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chat_message=$(echo "$chat_message_json" | jq -c '.[2:] | .[] | {role, content}')
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done
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}
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# parse command line arguments
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while [[ "$#" -gt 0 ]]; do
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case $1 in
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-i | --init-prompt)
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CHAT_INIT_PROMPT="$2"
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CONTEXT=true
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shift
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shift
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;;
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--init-prompt-from-file)
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CHAT_INIT_PROMPT=$(cat "$2")
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CONTEXT=true
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shift
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shift
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;;
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-p | --prompt)
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prompt="$2"
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shift
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shift
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;;
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--prompt-from-file)
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prompt=$(cat "$2")
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shift
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shift
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;;
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-t | --temperature)
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TEMPERATURE="$2"
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shift
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shift
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;;
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--max-tokens)
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MAX_TOKENS="$2"
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shift
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shift
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;;
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-m | --model)
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MODEL="$2"
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shift
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shift
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;;
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-s | --size)
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SIZE="$2"
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shift
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shift
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;;
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-c | --chat-context)
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CONTEXT=true
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shift
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shift
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;;
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-cc | --chat-completion)
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MODEL="gpt-3.5-turbo"
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CHAT_COMPLETION=true
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shift
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shift
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;;
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*)
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echo "Unknown parameter: $1"
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exit 1
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;;
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esac
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done
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# set defaults
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TEMPERATURE=${TEMPERATURE:-0.7}
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MAX_TOKENS=${MAX_TOKENS:-1024}
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MODEL=${MODEL:-text-davinci-003}
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SIZE=${SIZE:-512x512}
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CONTEXT=${CONTEXT:-false}
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CHAT_COMPLETION=${CHAT_COMPLETION:-false}
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# create history file
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if [ ! -f ~/.chatgpt_history ]; then
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touch ~/.chatgpt_history
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chmod a+rw ~/.chatgpt_history
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fi
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running=true
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# check input source
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# if prompt already entered, run on pipe mode (run once, no chat)
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# prompt from pipe
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if [ -p /dev/stdin ]; then
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pipe_mode_prompt+=$(cat -)
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# prompt from argument
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elif [ -n "$prompt" ]; then
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pipe_mode_prompt=${prompt}
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else
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echo -e "Welcome to chatgpt. You can quit with '\033[36mexit\033[0m'."
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fi
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while $running; do
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if [ -z "$pipe_mode_prompt" ]; then
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echo -e "\nEnter a prompt:"
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read prompt
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else
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# set vars for pipe mode
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prompt=${pipe_mode_prompt}
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running=false
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CHATGPT_CYAN_LABEL=""
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fi
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if [ "$prompt" == "exit" ]; then
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running=false
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elif [[ "$prompt" =~ ^image: ]]; then
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request_to_image "$prompt"
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handle_error "$image_response"
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image_url=$(echo $image_response | jq -r '.data[0].url')
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echo -e "${CHATGPT_CYAN_LABEL}Your image was created. \n\nLink: ${image_url}\n"
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if [[ "$TERM_PROGRAM" == "iTerm.app" ]]; then
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curl -sS $image_url -o temp_image.png
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imgcat temp_image.png
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rm temp_image.png
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else
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echo "Would you like to open it? (Yes/No)"
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read answer
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if [ "$answer" == "Yes" ] || [ "$answer" == "yes" ] || [ "$answer" == "y" ] || [ "$answer" == "Y" ] || [ "$answer" == "ok" ]; then
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open "${image_url}"
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fi
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fi
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elif [[ "$prompt" == "history" ]]; then
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echo -e "\n$(cat ~/.chatgpt_history)"
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elif [[ "$prompt" == "models" ]]; then
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models_response=$(curl https://api.openai.com/v1/models \
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-sS \
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-H "Authorization: Bearer $OPENAI_KEY")
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handle_error "$models_response"
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models_data=$(echo $models_response | jq -r -C '.data[] | {id, owned_by, created}')
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echo -e "${CHATGPT_CYAN_LABEL}This is a list of models currently available at OpenAI API:\n ${models_data}"
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elif [[ "$prompt" =~ ^model: ]]; then
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models_response=$(curl https://api.openai.com/v1/models \
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-sS \
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-H "Authorization: Bearer $OPENAI_KEY")
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handle_error "$models_response"
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model_data=$(echo $models_response | jq -r -C '.data[] | select(.id=="'"${prompt#*model:}"'")')
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echo -e "${CHATGPT_CYAN_LABEL}Complete details for model: ${prompt#*model:}\n ${model_data}"
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elif [[ "$CHAT_COMPLETION" = true ]]; then
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# escape quotation marks
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escaped_prompt=$(echo "$prompt" | sed 's/"/\\"/g')
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# escape new lines
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request_prompt=${escaped_prompt//$'\n'/' '}
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build_user_chat_message "$chat_message" "$request_prompt"
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request_to_chat "$request_prompt"
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handle_error "$response"
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response_data=$(echo $response | jq -r '.choices[].message.content')
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echo -e "${CHATGPT_CYAN_LABEL}${response_data}"
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response_data=$(echo "$response_data" | sed 's/"/\\"/g')
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add_assistant_response_to_chat_message "$chat_message" "$response_data"
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timestamp=$(date +"%d/%m/%Y %H:%M")
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echo -e "$timestamp $prompt \n$response_data \n" >>~/.chatgpt_history
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else
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# escape quotation marks
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escaped_prompt=$(echo "$prompt" | sed 's/"/\\"/g')
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# escape new lines
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request_prompt=${escaped_prompt//$'\n'/' '}
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if [ "$CONTEXT" = true ]; then
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build_chat_context "$chat_context" "$escaped_prompt"
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fi
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request_to_completions "$request_prompt"
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handle_error "$response"
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response_data=$(echo $response | jq -r '.choices[].text' | sed '1,2d; s/^A://g')
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echo -e "${CHATGPT_CYAN_LABEL}${response_data}"
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if [ "$CONTEXT" = true ]; then
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escaped_response_data=$(echo "$response_data" | sed 's/"/\\"/g')
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maintain_chat_context "$chat_context" "$escaped_response_data"
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fi
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timestamp=$(date +"%d/%m/%Y %H:%M")
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echo -e "$timestamp $prompt \n$escaped_response_data \n" >>~/.chatgpt_history
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fi
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done
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