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Merge pull request #68 from solaoi/main
add gpt
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,247 @@ | ||
| use tokio::{fs::File, io::AsyncReadExt}; | ||
|
|
||
| use super::sqlite::Sqlite; | ||
|
|
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| use crossbeam_channel::Receiver; | ||
|
|
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| use reqwest::{ | ||
| header::{HeaderMap, HeaderValue, AUTHORIZATION, CONTENT_TYPE}, | ||
| multipart, Client, | ||
| }; | ||
| use serde_json::{json, Value}; | ||
| use tauri::{AppHandle, Manager}; | ||
|
|
||
| #[derive(Debug, Clone, serde::Serialize)] | ||
| pub struct TraceCompletion {} | ||
|
|
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| pub struct ChatOnline { | ||
| app_handle: AppHandle, | ||
| sqlite: Sqlite, | ||
| speaker_language: String, | ||
| note_id: u64, | ||
| token: String, | ||
| } | ||
|
|
||
| impl ChatOnline { | ||
| pub fn new(app_handle: AppHandle, speaker_language: String, note_id: u64) -> Self { | ||
| let sqlite = Sqlite::new(); | ||
| let token = sqlite.select_whisper_token().unwrap(); | ||
| Self { | ||
| app_handle, | ||
| sqlite, | ||
| speaker_language, | ||
| note_id, | ||
| token, | ||
| } | ||
| } | ||
|
|
||
| pub fn start(&mut self, stop_convert_rx: Receiver<()>, is_continuous: bool) { | ||
| while Self::convert(self).is_ok() { | ||
| if is_continuous { | ||
| let vosk_speech = self.sqlite.select_vosk(self.note_id); | ||
| if vosk_speech.is_err() { | ||
| self.app_handle | ||
| .clone() | ||
| .emit_all("traceCompletion", TraceCompletion {}) | ||
| .unwrap(); | ||
| break; | ||
| } | ||
| } | ||
| if stop_convert_rx.try_recv().is_ok() { | ||
| let vosk_speech = self.sqlite.select_vosk(self.note_id); | ||
| if vosk_speech.is_err() { | ||
| self.app_handle | ||
| .clone() | ||
| .emit_all("traceCompletion", TraceCompletion {}) | ||
| .unwrap(); | ||
| } else { | ||
| self.app_handle | ||
| .clone() | ||
| .emit_all("traceUnCompletion", TraceCompletion {}) | ||
| .unwrap(); | ||
| } | ||
| break; | ||
| } | ||
| } | ||
| } | ||
|
|
||
| #[tokio::main] | ||
| async fn request_whisper( | ||
| speaker_language: String, | ||
| file_path: String, | ||
| token: String, | ||
| ) -> Result<String, Box<dyn std::error::Error>> { | ||
| let url = "https://api.openai.com/v1/audio/transcriptions"; | ||
|
|
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| let model = "whisper-1"; | ||
|
|
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| let client = Client::new(); | ||
|
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| let mut headers = HeaderMap::new(); | ||
| headers.insert( | ||
| AUTHORIZATION, | ||
| HeaderValue::from_str(&format!("Bearer {}", token))?, | ||
| ); | ||
| let mut file = File::open(file_path).await?; | ||
| let mut buffer = Vec::new(); | ||
| file.read_to_end(&mut buffer).await?; | ||
|
|
||
| let part_file = multipart::Part::bytes(buffer) | ||
| .file_name("test.wav") | ||
| .mime_str("audio/wav")?; | ||
|
|
||
| let part_model = multipart::Part::text(model); | ||
| let language = if speaker_language.starts_with("en-us") | ||
| || speaker_language.starts_with("small-en-us") | ||
| { | ||
| "en" | ||
| } else if speaker_language.starts_with("cn") || speaker_language.starts_with("small-cn") { | ||
| "zh" | ||
| } else if speaker_language.starts_with("small-ko") { | ||
| "ko" | ||
| } else if speaker_language.starts_with("fr") || speaker_language.starts_with("small-fr") { | ||
| "fr" | ||
| } else if speaker_language.starts_with("de") || speaker_language.starts_with("small-de") { | ||
| "de" | ||
| } else if speaker_language.starts_with("ru") || speaker_language.starts_with("small-ru") { | ||
| "ru" | ||
| } else if speaker_language.starts_with("es") || speaker_language.starts_with("small-es") { | ||
| "es" | ||
| } else if speaker_language.starts_with("small-pt") { | ||
| "pt" | ||
| } else if speaker_language.starts_with("small-tr") { | ||
| "tr" | ||
| } else if speaker_language.starts_with("vn") || speaker_language.starts_with("small-vn") { | ||
| "vi" | ||
| } else if speaker_language.starts_with("it") || speaker_language.starts_with("small-it") { | ||
| "it" | ||
| } else if speaker_language.starts_with("small-nl") { | ||
| "nl" | ||
| } else if speaker_language.starts_with("small-ca") { | ||
| "ca" | ||
| } else if speaker_language.starts_with("uk") || speaker_language.starts_with("small-uk") { | ||
| "uk" | ||
| } else if speaker_language.starts_with("small-sv") { | ||
| "sv" | ||
| } else if speaker_language.starts_with("hi") || speaker_language.starts_with("small-hi") { | ||
| "hi" | ||
| } else if speaker_language.starts_with("small-cs") { | ||
| "cs" | ||
| } else if speaker_language.starts_with("small-pl") { | ||
| "pl" | ||
| } else { | ||
| "ja" | ||
| }; | ||
| let part_language = multipart::Part::text(language); | ||
|
|
||
| let form = multipart::Form::new() | ||
| .part("file", part_file) | ||
| .part("model", part_model) | ||
| .part("language", part_language); | ||
|
|
||
| let response = client | ||
| .post(url) | ||
| .headers(headers) | ||
| .multipart(form) | ||
| .send() | ||
| .await?; | ||
|
|
||
| println!("Status: {}", response.status()); | ||
| let json_response: Value = response.json().await?; | ||
| println!("Response: {:?}", json_response); | ||
| let response_text = json_response["text"] | ||
| .as_str() | ||
| .unwrap_or("text field not found"); | ||
|
|
||
| Ok(response_text.to_string()) | ||
| } | ||
|
|
||
| #[tokio::main] | ||
| async fn request_gpt( | ||
| question: &str, | ||
| token: String, | ||
| template: String, | ||
| ) -> Result<String, Box<dyn std::error::Error>> { | ||
| let url = "https://api.openai.com/v1/chat/completions"; | ||
|
|
||
| let model = "gpt-3.5-turbo"; | ||
| let temperature = 0; | ||
|
|
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| let client = Client::new(); | ||
|
|
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| let mut headers = HeaderMap::new(); | ||
| headers.insert( | ||
| AUTHORIZATION, | ||
| HeaderValue::from_str(&format!("Bearer {}", token))?, | ||
| ); | ||
| headers.insert(CONTENT_TYPE, HeaderValue::from_static("application/json")); | ||
|
|
||
| let post_body = if template != "" { | ||
| json!({ | ||
| "model": model, | ||
| "temperature": temperature, | ||
| "messages": [{"role": "system", "content": template},{"role": "user", "content": question}] | ||
| }) | ||
| } else { | ||
| json!({ | ||
| "model": model, | ||
| "temperature": temperature, | ||
| "messages": [{"role": "user", "content": question}] | ||
| }) | ||
| }; | ||
|
|
||
| let response = client | ||
| .post(url) | ||
| .headers(headers) | ||
| .json(&post_body) | ||
| .send() | ||
| .await?; | ||
|
|
||
| println!("Status: {}", response.status()); | ||
| let json_response: Value = response.json().await?; | ||
| println!("Response: {:?}", json_response); | ||
| let response_text = json_response["choices"][0]["message"]["content"] | ||
| .as_str() | ||
| .unwrap_or("choices[0].message.content field not found"); | ||
|
|
||
| Ok(response_text.to_string()) | ||
| } | ||
|
|
||
| fn convert(&mut self) -> Result<(), rusqlite::Error> { | ||
| let vosk_speech = self.sqlite.select_vosk(self.note_id); | ||
| return vosk_speech.and_then(|speech| { | ||
| let result = Self::request_whisper( | ||
| self.speaker_language.clone(), | ||
| speech.wav, | ||
| self.token.clone(), | ||
| ); | ||
| if result.is_ok() { | ||
| let question = result.unwrap(); | ||
| let result = self.sqlite.select_ai_template(); | ||
| let template = if result.is_ok() { | ||
| result.unwrap() | ||
| } else { | ||
| "".to_string() | ||
| }; | ||
| let result = Self::request_gpt(&question, self.token.clone(), template); | ||
| if result.is_ok() { | ||
| let answer = result.unwrap(); | ||
| let updated = self.sqlite.update_model_vosk_to_whisper( | ||
| speech.id, | ||
| format!("Q. {}\nA. {}", question, answer), | ||
| ); | ||
|
|
||
| self.app_handle | ||
| .clone() | ||
| .emit_all("finalTextConverted", updated.unwrap()) | ||
| .unwrap(); | ||
| } else { | ||
| println!("gpt api is temporally failed, so skipping...") | ||
| } | ||
| } else { | ||
| println!("whisper api is temporally failed, so skipping...") | ||
| } | ||
| Ok(()) | ||
| }); | ||
| } | ||
| } |
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