use std::env;
use rig::{
agent::{Agent, AgentBuilder},
cli_chatbot::cli_chatbot,
completion::{Chat, CompletionModel, PromptError},
message::Message,
providers::openai::Client as OpenAIClient,
};
struct EnglishTranslator<M: CompletionModel> {
translator_agent: Agent<M>,
gpt4: Agent<M>,
}
impl<M: CompletionModel> EnglishTranslator<M> {
fn new(model: M) -> Self {
Self {
translator_agent: AgentBuilder::new(model.clone())
.preamble("\
You are a translator assistant that will translate any input text into english. \
If the text is already in english, simply respond with the original text but fix any mistakes (grammar, syntax, etc.). \
")
.build(),
gpt4: AgentBuilder::new(model).build()
}
}
}
impl<M: CompletionModel> Chat for EnglishTranslator<M> {
async fn chat(
&self,
prompt: impl Into<Message> + Send,
chat_history: Vec<Message>,
) -> Result<String, PromptError> {
let translated_prompt = self
.translator_agent
.chat(prompt, chat_history.clone())
.await?;
println!("Translated prompt: {}", translated_prompt);
self.gpt4
.chat(translated_prompt.as_str(), chat_history)
.await
}
}
#[tokio::main]
async fn main() -> Result<(), anyhow::Error> {
let openai_api_key = env::var("OPENAI_API_KEY").expect("OPENAI_API_KEY not set");
let openai_client = OpenAIClient::new(&openai_api_key);
let model = openai_client.completion_model("gpt-4");
let translator = EnglishTranslator::new(model);
cli_chatbot(translator).await?;
Ok(())
}