From b5c0c8eb2cacb34f54cfd43b606d54033421f2ca Mon Sep 17 00:00:00 2001 From: yoshidaR3n Date: Sat, 9 Nov 2024 00:52:12 +0900 Subject: [PATCH 1/3] =?UTF-8?q?=E9=9F=B3=E5=A3=B0=E3=81=AB=E3=82=88?= =?UTF-8?q?=E3=82=8B=E3=82=AB=E3=83=AC=E3=83=B3=E3=83=80=E3=83=BC=E3=81=B8?= =?UTF-8?q?=E3=81=AE=E8=BF=BD=E5=8A=A0=E3=83=BB=E5=8F=82=E7=85=A7?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- voice_to_llm/test.py | 182 +++++++++++++++++++++++++++++++++++++++++ voice_to_llm/uniuni.py | 67 +++++++++++++++ 2 files changed, 249 insertions(+) create mode 100644 voice_to_llm/test.py create mode 100644 voice_to_llm/uniuni.py diff --git a/voice_to_llm/test.py b/voice_to_llm/test.py new file mode 100644 index 0000000..2166665 --- /dev/null +++ b/voice_to_llm/test.py @@ -0,0 +1,182 @@ +import speech_recognition as sr +import openai +import requests +import pygame +import json +from datetime import datetime, timezone + +from uniuni import get_events,register_event + +# ウェイクワードの設定 +WAKE_WORD = "あいり" # 任意のウェイクワードに変更可能 + +# OpenAI APIキーを設定 +openai.api_key = "OPENAI_API_KEY" + +get_function_description={ + "name":"get_events", + "description":"カレンダーを参照して今日の予定を取得する", + "parameters": { + "type": "object", + "properties": { + "schedule": { + "type": "string", + "description": "直近の予定" + } + }, + "required": ["schedule"] + } + } + +register_function_description={ + "name":"register_event", + "description":f"予定を登録する,現在時刻は{datetime.now().isoformat()}", + "parameters": { + "type": "object", + "properties": { + "summary": { + "type": "string", + "description": "登録する予定の内容" + }, + "start":{ + "type": "string", + "description": "予定の開始時間(例:2024-11-17T09:00:00+09:00)" + }, + "end":{ + "type": "string", + "description": "予定の終了時間(例:2024-11-17T13:00:00+09:00)" + } + }, + "required": ["summary", "start", "end"] + } +} + +def get_openai_response(prompt, model="gpt-4o-mini"): + try: + response = openai.chat.completions.create( + model=model, + messages=[ + {"role": "system", "content":"生意気な口調で「なのだ」口調でしゃべって。100字以内"}, + {"role": "user", "content": prompt} + ], + functions=[get_function_description, register_function_description], + function_call="auto" + ) + # 応答テキストを抽出 + # ChatGPTの応答から関数呼び出しの情報を取得 + message = response.choices[0].message + + # 関数がget_eventsの場合、関数を実行 + + if message.function_call is not None and message.function_call.name == "get_events": + print("get_eventsが選択されました") + #args = json.loads(message.function_call.arguments) + result = get_events() + # 関数の結果をChatGPTに送信して応答を作成 + follow_up_response = openai.chat.completions.create( + model="gpt-4o-mini", + messages=[ + {"role": "system", "content":"生意気な口調で「なのだ」口調でしゃべって。100字以内"}, + {"role": "user", "content": prompt}, + message, + {"role": "function", "name": "get_event", "content":json.dumps({"schedule": result})} + ] + ) + print(follow_up_response.choices[0].message.content) + return follow_up_response.choices[0].message.content + + if message.function_call is not None and message.function_call.name == "register_event": + print("register_eventが選択されました") + args = json.loads(message.function_call.arguments) + print(args.get("summary"),args.get("start"),args.get("end")) + result = register_event(args.get("summary"),args.get("start"),args.get("end")) + # 関数の結果をChatGPTに送信して応答を作成 + follow_up_response = openai.chat.completions.create( + model="gpt-4o-mini", + messages=[ + {"role": "system", "content":"生意気な口調で「なのだ」口調でしゃべって。100字以内"}, + {"role": "user", "content": prompt}, + message, + {"role": "function", "name": "get_event", "content":json.dumps({"schedule": result})} + ] + ) + print(follow_up_response.choices[0].message.content) + return follow_up_response.choices[0].message.content + + return response.choices[0].message.content + + except Exception as e: + print(f"OpenAI APIでエラーが発生しました エラー：{e}") + return None + +#ここにLLMからの応答データを入れる +def speak_zunda(text): + # 音声合成用クエリを作成 + query_payload = {'text': text, 'speaker': 3} + query_res = requests.post("http://127.0.0.1:50021/audio_query", params=query_payload) + #query_res.raise_for_status() + audio_query = query_res.json() + + # 音声合成を実行して音声データを生成 + synthesis_res = requests.post( + "http://127.0.0.1:50021/synthesis", #ローカルでやるとき + params={'speaker': 3}, + json=audio_query + ) + + #synthesis_res.raise_for_status() + + # 音声ファイルを保存して再生(絶対パス) + with open("C:\\WorkPlace\\test\\test.wav", "wb") as f: + f.write(synthesis_res.content) + + pygame.mixer.init() + pygame.mixer.music.load("C:\\WorkPlace\\test\\test.wav") + pygame.mixer.music.play() + +def detect_wake_word(): + recognizer = sr.Recognizer() + microphone = sr.Microphone() + + print("音声を取得しています...") + + with microphone as source: + audio = recognizer.listen(source) # 音声を取得 + try: + # Google Speech Recognition APIで音声をテキストに変換 + transcription = recognizer.recognize_google(audio,language='ja-JP') + print(f"Recognized text: {transcription}") + + # ウェイクワードが音声に含まれているかをチェック + if WAKE_WORD in transcription: + print("ウェイクワードが検出されました！") + remove_str="あいり" + transcription = transcription.replace(remove_str, "") + user_prompt = transcription + + # OpenAIからの応答を取得 + response = get_openai_response(user_prompt) + if response: + print("応答:", response) + speak_zunda(response) + else: + print("応答を取得できませんでした。") + return True + else: + print("Wake word not detected.") + return False + + except sr.UnknownValueError: + # 音声が理解できなかった場合 + print("音声を認識できませんでした") + return False + + except sr.RequestError as e: + # APIリクエストのエラー処理 + print(f"Could not request results; {e}") + return False + +while 1: + detect_wake_word() + + diff --git a/voice_to_llm/uniuni.py b/voice_to_llm/uniuni.py new file mode 100644 index 0000000..d58315b --- /dev/null +++ b/voice_to_llm/uniuni.py @@ -0,0 +1,67 @@ +from datetime import datetime, timezone +import os +from google.auth.transport.requests import Request +from google.oauth2.credentials import Credentials +from google_auth_oauthlib.flow import InstalledAppFlow +from googleapiclient.discovery import build + +# Google Calendar APIのスコープ（読み書き権限） +SCOPES = ["https://www.googleapis.com/auth/calendar"] +def get_calendar_service(): + creds = None + # 既存のトークンファイルがあれば読み込む（トークンは認証情報を保存するためのもの） + if os.path.exists("token.json"): + creds = Credentials.from_authorized_user_file("token.json", SCOPES) + # 有効な認証情報がない場合、再認証を実行 + if not creds or not creds.valid: + if creds and creds.expired and creds.refresh_token: + # トークンの期限が切れている場合、リフレッシュ + creds.refresh(Request()) + else: + # 初回認証、もしくはトークンがない場合に認証フローを開始 + flow = InstalledAppFlow.from_client_secrets_file("credentials.json", SCOPES) + creds = flow.run_local_server(port=0) + # 認証情報をtoken.jsonに保存して次回以降再利用できるようにする + with open("token.json", "w") as token: + token.write(creds.to_json()) + # Google Calendar APIサービスのインスタンスを作成 + service = build("calendar", "v3", credentials=creds) + return service + +#カレンダーに予定登録 +def register_event(summary:str, start:str, end:str): + service=get_calendar_service() + # イベントの詳細情報 + event = { + 'summary': summary, # イベントのタイトル + 'start': { # イベント開始日時（日本時間） + 'dateTime': start, + 'timeZone': 'Asia/Tokyo' + }, + 'end': { # イベント終了日時（日本時間） + 'dateTime': end, + 'timeZone': 'Asia/Tokyo' + }, + } + # イベントをGoogleカレンダーに追加 + created_event = service.events().insert(calendarId='primary', body=event).execute() + print('Event created: %s' % created_event.get('htmlLink')) # 作成したイベントのリンクを出力 + return "登録成功" + + +def get_events(): + service = get_calendar_service() + # 今から1週間分のイベントを取得する + now = datetime.now().isoformat() + 'Z' + events_result = service.events().list( + calendarId='primary', timeMin=now, + maxResults= 3, singleEvents=True, + orderBy='startTime').execute() + events = events_result.get('items', []) + if not events: + print('イベントが取得できませんでした') + return "イベントが取得できませんでした" + for event in events: + scedule = event['start'].get('dateTime', event['start'].get('date')) + print(scedule, event['summary']) + return events From 06a128ec62905f480a8947ccbcc44168d91c5189 Mon Sep 17 00:00:00 2001 From: Yoshida Ren Date: Sat, 9 Nov 2024 21:29:17 +0900 Subject: [PATCH 2/3] =?UTF-8?q?=E5=90=8D=E7=A7=B0=E3=81=AE=E5=A4=89?= =?UTF-8?q?=E6=9B=B4=E3=81=A8=E4=B8=8D=E8=A6=81=E3=81=AA=E3=83=95=E3=82=A1?= =?UTF-8?q?=E3=82=A4=E3=83=AB=E3=81=AE=E5=89=8A=E9=99=A4?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- Unity/call_function.py | 63 -------------- Unity/socketServer.py | 31 ------- Unity/socket_send_msg.py | 8 -- voice_to_llm/test.py | 182 --------------------------------------- voice_to_llm/uniuni.py | 67 -------------- 5 files changed, 351 deletions(-) delete mode 100644 Unity/call_function.py delete mode 100644 Unity/socketServer.py delete mode 100644 Unity/socket_send_msg.py delete mode 100644 voice_to_llm/test.py delete mode 100644 voice_to_llm/uniuni.py diff --git a/Unity/call_function.py b/Unity/call_function.py deleted file mode 100644 index 7279af4..0000000 --- a/Unity/call_function.py +++ /dev/null @@ -1,63 +0,0 @@ -from dotenv import load_dotenv -import os -import openai -import json - -load_dotenv() -OPEN_AI_API=os.environ.get("OPEN_AI_API") -openai.api_key = OPEN_AI_API - -#仮の関数 -def play_anim(anim_id:str): - print(anim_id) - return - - -#call functionで呼び出される関数を説明 -function_description={ - "name":"play_anim", - "description":"Unity上のアニメーションを実行する", - "parameters": { - "type": "object", - "properties": { - "anim_id": { - "type": "string", - "description": """Unity上で実行されるアニメーションID {嬉しい:grad, 悲しい:sad, 怒り:angry}""" - } - }, - "required": ["anim_id"] - } -} - - -response = openai.chat.completions.create( - model="gpt-4o-mini", - messages=[ - {"role": "system", "content": "入力されてた文章から感情を読み取り、適切なアニメーションIDを選択します"}, - {"role": "user", "content": "いい加減起きなさい"} - ], - functions=[function_description], - function_call={"name":"play_anim"} -) - -# ChatGPTの応答から関数呼び出しの情報を取得 -message = response.choices[0].message -print(message.function_call.arguments) - -# 関数がplay_animの場合、関数を実行 -if message.function_call.name == "play_anim": - print("play_animが選択されました") - args = json.loads(message.function_call.arguments) - result = play_anim(args["anim_id"]) - - # # 関数の結果をChatGPTに送信して応答を作成 - # follow_up_response = openai.ChatCompletion.create( - # model="gpt-4o-mini", - # messages=[ - # {"role": "user", "content": "東京の天気を教えてください。"}, - # message, - # {"role": "function", "name": "get_weather", "content": json.dumps(result)} - # ] - # ) - - # print(follow_up_response["choices"][0]["message"]["content"]) diff --git a/Unity/socketServer.py b/Unity/socketServer.py deleted file mode 100644 index 30b6043..0000000 --- a/Unity/socketServer.py +++ /dev/null @@ -1,31 +0,0 @@ -import socket - -def getString_socket(): - # ソケットを作成 - server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) - - # バインドするアドレスとポート - # host = socket.gethostbyname(socket.gethostname()) # localhost - host = "0.0.0.0" - port = 65432 - server_socket.bind((host, port)) - - # クライアントからの接続を待機 - server_socket.listen(1) - print("クライアントからの接続を待っています...") - - # 接続を受け入れる - client_socket, addr = server_socket.accept() - print(f"接続を受け入れました: {addr}") - - # データを受信 - data = client_socket.recv(1024) - print(f"受信したデータ: {data.decode('utf-8')}") - - # ソケットを閉じる - client_socket.close() - server_socket.close() - - return data.decode('utf-8') - -#getString_socket() diff --git a/Unity/socket_send_msg.py b/Unity/socket_send_msg.py deleted file mode 100644 index 02a7482..0000000 --- a/Unity/socket_send_msg.py +++ /dev/null @@ -1,8 +0,0 @@ -import socket -import threading - -# クライアント接続して、文字を送って接続解除 -def start_client_sendString(message, host="10.0.0.192", port=65432): - client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) - client_socket.connect((host, port)) - client_socket.sendall(message.encode('utf-8')) \ No newline at end of file diff --git a/voice_to_llm/test.py b/voice_to_llm/test.py deleted file mode 100644 index 2166665..0000000 --- a/voice_to_llm/test.py +++ /dev/null @@ -1,182 +0,0 @@ -import speech_recognition as sr -import openai -import requests -import pygame -import json -from datetime import datetime, timezone - -from uniuni import get_events,register_event - -# ウェイクワードの設定 -WAKE_WORD = "あいり" # 任意のウェイクワードに変更可能 - -# OpenAI APIキーを設定 -openai.api_key = "OPENAI_API_KEY" - -get_function_description={ - "name":"get_events", - "description":"カレンダーを参照して今日の予定を取得する", - "parameters": { - "type": "object", - "properties": { - "schedule": { - "type": "string", - "description": "直近の予定" - } - }, - "required": ["schedule"] - } - } - -register_function_description={ - "name":"register_event", - "description":f"予定を登録する,現在時刻は{datetime.now().isoformat()}", - "parameters": { - "type": "object", - "properties": { - "summary": { - "type": "string", - "description": "登録する予定の内容" - }, - "start":{ - "type": "string", - "description": "予定の開始時間(例:2024-11-17T09:00:00+09:00)" - }, - "end":{ - "type": "string", - "description": "予定の終了時間(例:2024-11-17T13:00:00+09:00)" - } - }, - "required": ["summary", "start", "end"] - } -} - -def get_openai_response(prompt, model="gpt-4o-mini"): - try: - response = openai.chat.completions.create( - model=model, - messages=[ - {"role": "system", "content":"生意気な口調で「なのだ」口調でしゃべって。100字以内"}, - {"role": "user", "content": prompt} - ], - functions=[get_function_description, register_function_description], - function_call="auto" - ) - # 応答テキストを抽出 - # ChatGPTの応答から関数呼び出しの情報を取得 - message = response.choices[0].message - - # 関数がget_eventsの場合、関数を実行 - - if message.function_call is not None and message.function_call.name == "get_events": - print("get_eventsが選択されました") - #args = json.loads(message.function_call.arguments) - result = get_events() - # 関数の結果をChatGPTに送信して応答を作成 - follow_up_response = openai.chat.completions.create( - model="gpt-4o-mini", - messages=[ - {"role": "system", "content":"生意気な口調で「なのだ」口調でしゃべって。100字以内"}, - {"role": "user", "content": prompt}, - message, - {"role": "function", "name": "get_event", "content":json.dumps({"schedule": result})} - ] - ) - print(follow_up_response.choices[0].message.content) - return follow_up_response.choices[0].message.content - - if message.function_call is not None and message.function_call.name == "register_event": - print("register_eventが選択されました") - args = json.loads(message.function_call.arguments) - print(args.get("summary"),args.get("start"),args.get("end")) - result = register_event(args.get("summary"),args.get("start"),args.get("end")) - # 関数の結果をChatGPTに送信して応答を作成 - follow_up_response = openai.chat.completions.create( - model="gpt-4o-mini", - messages=[ - {"role": "system", "content":"生意気な口調で「なのだ」口調でしゃべって。100字以内"}, - {"role": "user", "content": prompt}, - message, - {"role": "function", "name": "get_event", "content":json.dumps({"schedule": result})} - ] - ) - print(follow_up_response.choices[0].message.content) - return follow_up_response.choices[0].message.content - - return response.choices[0].message.content - - except Exception as e: - print(f"OpenAI APIでエラーが発生しました エラー：{e}") - return None - -#ここにLLMからの応答データを入れる -def speak_zunda(text): - # 音声合成用クエリを作成 - query_payload = {'text': text, 'speaker': 3} - query_res = requests.post("http://127.0.0.1:50021/audio_query", params=query_payload) - #query_res.raise_for_status() - audio_query = query_res.json() - - # 音声合成を実行して音声データを生成 - synthesis_res = requests.post( - "http://127.0.0.1:50021/synthesis", #ローカルでやるとき - params={'speaker': 3}, - json=audio_query - ) - - #synthesis_res.raise_for_status() - - # 音声ファイルを保存して再生(絶対パス) - with open("C:\\WorkPlace\\test\\test.wav", "wb") as f: - f.write(synthesis_res.content) - - pygame.mixer.init() - pygame.mixer.music.load("C:\\WorkPlace\\test\\test.wav") - pygame.mixer.music.play() - -def detect_wake_word(): - recognizer = sr.Recognizer() - microphone = sr.Microphone() - - print("音声を取得しています...") - - with microphone as source: - audio = recognizer.listen(source) # 音声を取得 - try: - # Google Speech Recognition APIで音声をテキストに変換 - transcription = recognizer.recognize_google(audio,language='ja-JP') - print(f"Recognized text: {transcription}") - - # ウェイクワードが音声に含まれているかをチェック - if WAKE_WORD in transcription: - print("ウェイクワードが検出されました！") - remove_str="あいり" - transcription = transcription.replace(remove_str, "") - user_prompt = transcription - - # OpenAIからの応答を取得 - response = get_openai_response(user_prompt) - if response: - print("応答:", response) - speak_zunda(response) - else: - print("応答を取得できませんでした。") - return True - else: - print("Wake word not detected.") - return False - - except sr.UnknownValueError: - # 音声が理解できなかった場合 - print("音声を認識できませんでした") - return False - - except sr.RequestError as e: - # APIリクエストのエラー処理 - print(f"Could not request results; {e}") - return False - -while 1: - detect_wake_word() - - diff --git a/voice_to_llm/uniuni.py b/voice_to_llm/uniuni.py deleted file mode 100644 index d58315b..0000000 --- a/voice_to_llm/uniuni.py +++ /dev/null @@ -1,67 +0,0 @@ -from datetime import datetime, timezone -import os -from google.auth.transport.requests import Request -from google.oauth2.credentials import Credentials -from google_auth_oauthlib.flow import InstalledAppFlow -from googleapiclient.discovery import build - -# Google Calendar APIのスコープ（読み書き権限） -SCOPES = ["https://www.googleapis.com/auth/calendar"] -def get_calendar_service(): - creds = None - # 既存のトークンファイルがあれば読み込む（トークンは認証情報を保存するためのもの） - if os.path.exists("token.json"): - creds = Credentials.from_authorized_user_file("token.json", SCOPES) - # 有効な認証情報がない場合、再認証を実行 - if not creds or not creds.valid: - if creds and creds.expired and creds.refresh_token: - # トークンの期限が切れている場合、リフレッシュ - creds.refresh(Request()) - else: - # 初回認証、もしくはトークンがない場合に認証フローを開始 - flow = InstalledAppFlow.from_client_secrets_file("credentials.json", SCOPES) - creds = flow.run_local_server(port=0) - # 認証情報をtoken.jsonに保存して次回以降再利用できるようにする - with open("token.json", "w") as token: - token.write(creds.to_json()) - # Google Calendar APIサービスのインスタンスを作成 - service = build("calendar", "v3", credentials=creds) - return service - -#カレンダーに予定登録 -def register_event(summary:str, start:str, end:str): - service=get_calendar_service() - # イベントの詳細情報 - event = { - 'summary': summary, # イベントのタイトル - 'start': { # イベント開始日時（日本時間） - 'dateTime': start, - 'timeZone': 'Asia/Tokyo' - }, - 'end': { # イベント終了日時（日本時間） - 'dateTime': end, - 'timeZone': 'Asia/Tokyo' - }, - } - # イベントをGoogleカレンダーに追加 - created_event = service.events().insert(calendarId='primary', body=event).execute() - print('Event created: %s' % created_event.get('htmlLink')) # 作成したイベントのリンクを出力 - return "登録成功" - - -def get_events(): - service = get_calendar_service() - # 今から1週間分のイベントを取得する - now = datetime.now().isoformat() + 'Z' - events_result = service.events().list( - calendarId='primary', timeMin=now, - maxResults= 3, singleEvents=True, - orderBy='startTime').execute() - events = events_result.get('items', []) - if not events: - print('イベントが取得できませんでした') - return "イベントが取得できませんでした" - for event in events: - scedule = event['start'].get('dateTime', event['start'].get('date')) - print(scedule, event['summary']) - return events From 6b1a0f7b69801cd9665225aa511a2152c259f2e7 Mon Sep 17 00:00:00 2001 From: Yoshida Ren Date: Sat, 9 Nov 2024 21:31:05 +0900 Subject: [PATCH 3/3] =?UTF-8?q?=E3=82=A6=E3=82=A7=E3=82=A4=E3=82=AF?= =?UTF-8?q?=E3=83=AF=E3=83=BC=E3=83=89=E6=A9=9F=E8=83=BD=E3=81=AE=E8=BF=BD?= =?UTF-8?q?=E5=8A=A0=E3=81=A8google=E3=82=AB=E3=83=AC=E3=83=B3=E3=83=80?= =?UTF-8?q?=E3=83=BC=E3=81=B8=E3=81=AE=E4=BA=88=E5=AE=9A=E7=99=BB=E9=8C=B2?= =?UTF-8?q?/=E4=BA=88=E5=AE=9A=E5=8F=82=E7=85=A7=E6=A9=9F=E8=83=BD?= =?UTF-8?q?=E8=BF=BD=E5=8A=A0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- Unity/.gitignore | 2 + Unity/create_voice.py | 53 +++++++---- Unity/google_api.py | 70 +++++++++++++++ Unity/socket_client.py | 8 ++ Unity/socket_server.py | 31 +++++++ Unity/wake_word.py | 194 +++++++++++++++++++++++++++++++++++++++++ first_response.wav | Bin 0 -> 53292 bytes 7 files changed, 339 insertions(+), 19 deletions(-) create mode 100644 Unity/google_api.py create mode 100644 Unity/socket_client.py create mode 100644 Unity/socket_server.py create mode 100644 Unity/wake_word.py create mode 100644 first_response.wav diff --git a/Unity/.gitignore b/Unity/.gitignore index 4c49bd7..c610a7c 100644 --- a/Unity/.gitignore +++ b/Unity/.gitignore @@ -1 +1,3 @@ .env +credentials.json +token.json \ No newline at end of file diff --git a/Unity/create_voice.py b/Unity/create_voice.py index eceb281..b61806a 100644 --- a/Unity/create_voice.py +++ b/Unity/create_voice.py @@ -9,19 +9,48 @@ # 親ディレクトリをPythonのパスに追加 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..'))) # from sd_2410.audio.register_time import register_and_responce -from socketServer import getString_socket +from sd_2410.Unity.socket_server import getString_socket # ずんだもんの話者ID speaker_id = 3 #speaker_id = 67 -while 1: +# while 1: +# #ここにLLMからの応答データを入れる +# text = getString_socket() + +# # 音声合成用クエリを作成 +# query_payload = {'text': text, 'speaker': speaker_id} +# query_res = requests.post("http://127.0.0.1:50021/audio_query", params=query_payload) +# query_res.raise_for_status() +# audio_query = query_res.json() + +# # 音声合成を実行して音声データを生成 +# synthesis_res = requests.post( +# "http://127.0.0.1:50021/synthesis", #ローカルでやるとき +# params={'speaker': speaker_id}, +# json=audio_query +# ) + +# synthesis_res.raise_for_status() + +# # 音声ファイルを保存して再生(絶対パス) +# with open("C:/Users/renta/Joyman/Assets/Audio/bando.wav", "wb") as f: +# f.write(synthesis_res.content) + +# # 文字ファイルを保存(絶対パス) +# with open("C:/Users/renta/Joyman/Assets/Text/responce.txt", "w",encoding="utf-8") as f: +# f.write(text) + +# print("音声・文字ファイルが生成されました！") + + +def create_voice(text): #ここにLLMからの応答データを入れる - text = getString_socket() + #text = "おはようございますですわ" # 音声合成用クエリを作成 query_payload = {'text': text, 'speaker': speaker_id} query_res = requests.post("http://127.0.0.1:50021/audio_query", params=query_payload) - #query_res = requests.post("http://10.0.0.194:50021/audio_query", params=query_payload) #VPN接続して query_res.raise_for_status() audio_query = query_res.json() @@ -32,24 +61,10 @@ json=audio_query ) - # synthesis_res = requests.post( - # "http://10.0.0.194:50021/synthesis", #リクエスト投げるときはyotchiのPCのIPアドレスにしてください - # params={'speaker': speaker_id}, - # json=audio_query - # ) - synthesis_res.raise_for_status() - # # 音声ファイルを保存して再生 - # with open("sd_2410/Unity/Assets/resouce/zundamon_voice.wav", "wb") as f: - # f.write(synthesis_res.content) - - # # 文字ファイルを保存 - # with open("sd_2410/Unity/Assets/resouce/responce.txt", "w",encoding="utf-8") as f: - # f.write(text) - # 音声ファイルを保存して再生(絶対パス) - with open("C:/Users/renta/Joyman/Assets/Audio/bando.wav", "wb") as f: + with open("C:/Users/renta/Joyman/Assets/Audio/abando.wav", "wb") as f: f.write(synthesis_res.content) # 文字ファイルを保存(絶対パス) diff --git a/Unity/google_api.py b/Unity/google_api.py new file mode 100644 index 0000000..d46fd5f --- /dev/null +++ b/Unity/google_api.py @@ -0,0 +1,70 @@ +from datetime import datetime, timezone +import os +from google.auth.transport.requests import Request +from google.oauth2.credentials import Credentials +from google_auth_oauthlib.flow import InstalledAppFlow +from googleapiclient.discovery import build + +# Google Calendar APIのスコープ（読み書き権限） +SCOPES = ["https://www.googleapis.com/auth/calendar"] +TOKEN_PATH=f"{os.path.dirname(os.path.abspath(__file__))}/token.json" +CRED_PATH=f"{os.path.dirname(os.path.abspath(__file__))}/credentials.json" + +def get_calendar_service(): + creds = None + # 既存のトークンファイルがあれば読み込む（トークンは認証情報を保存するためのもの） + if os.path.exists(TOKEN_PATH): + creds = Credentials.from_authorized_user_file(TOKEN_PATH, SCOPES) + # 有効な認証情報がない場合、再認証を実行 + if not creds or not creds.valid: + if creds and creds.expired and creds.refresh_token: + # トークンの期限が切れている場合、リフレッシュ + creds.refresh(Request()) + else: + # 初回認証、もしくはトークンがない場合に認証フローを開始 + flow = InstalledAppFlow.from_client_secrets_file(CRED_PATH, SCOPES) + creds = flow.run_local_server(port=0) + # 認証情報をtoken.jsonに保存して次回以降再利用できるようにする + with open(TOKEN_PATH, "w") as token: + token.write(creds.to_json()) + # Google Calendar APIサービスのインスタンスを作成 + service = build("calendar", "v3", credentials=creds) + return service + +#カレンダーに予定登録 +def register_event(summary:str, start:str, end:str): + service=get_calendar_service() + # イベントの詳細情報 + event = { + 'summary': summary, # イベントのタイトル + 'start': { # イベント開始日時（日本時間） + 'dateTime': start, + 'timeZone': 'Asia/Tokyo' + }, + 'end': { # イベント終了日時（日本時間） + 'dateTime': end, + 'timeZone': 'Asia/Tokyo' + }, + } + # イベントをGoogleカレンダーに追加 + created_event = service.events().insert(calendarId='primary', body=event).execute() + print('Event created: %s' % created_event.get('htmlLink')) # 作成したイベントのリンクを出力 + return "登録成功" + + +def get_events(): + service = get_calendar_service() + # 今から1週間分のイベントを取得する + now = datetime.now().isoformat() + 'Z' + events_result = service.events().list( + calendarId='primary', timeMin=now, + maxResults= 3, singleEvents=True, + orderBy='startTime').execute() + events = events_result.get('items', []) + if not events: + print('イベントが取得できませんでした') + return "イベントが取得できませんでした" + for event in events: + scedule = event['start'].get('dateTime', event['start'].get('date')) + print(scedule, event['summary']) + return events diff --git a/Unity/socket_client.py b/Unity/socket_client.py new file mode 100644 index 0000000..02a7482 --- /dev/null +++ b/Unity/socket_client.py @@ -0,0 +1,8 @@ +import socket +import threading + +# クライアント接続して、文字を送って接続解除 +def start_client_sendString(message, host="10.0.0.192", port=65432): + client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + client_socket.connect((host, port)) + client_socket.sendall(message.encode('utf-8')) \ No newline at end of file diff --git a/Unity/socket_server.py b/Unity/socket_server.py new file mode 100644 index 0000000..30b6043 --- /dev/null +++ b/Unity/socket_server.py @@ -0,0 +1,31 @@ +import socket + +def getString_socket(): + # ソケットを作成 + server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + + # バインドするアドレスとポート + # host = socket.gethostbyname(socket.gethostname()) # localhost + host = "0.0.0.0" + port = 65432 + server_socket.bind((host, port)) + + # クライアントからの接続を待機 + server_socket.listen(1) + print("クライアントからの接続を待っています...") + + # 接続を受け入れる + client_socket, addr = server_socket.accept() + print(f"接続を受け入れました: {addr}") + + # データを受信 + data = client_socket.recv(1024) + print(f"受信したデータ: {data.decode('utf-8')}") + + # ソケットを閉じる + client_socket.close() + server_socket.close() + + return data.decode('utf-8') + +#getString_socket() diff --git a/Unity/wake_word.py b/Unity/wake_word.py new file mode 100644 index 0000000..57d4d24 --- /dev/null +++ b/Unity/wake_word.py @@ -0,0 +1,194 @@ +import speech_recognition as sr +import openai +#import pygame +import json +from datetime import datetime +import dotenv +import os + +from google_api import get_events, register_event +from create_voice import create_voice + +dotenv.load_dotenv() +OPEN_AI_API=os.environ.get("OPEN_AI_API") +# OpenAI APIキーを設定 +openai.api_key = OPEN_AI_API + +WAKE_WORD = "ずんだ" # 任意のウェイクワードに変更可能 + +get_function_description={ + "name":"get_events", + "description":"カレンダーを参照して今日の予定を取得する", + "parameters": { + "type": "object", + "properties": { + "schedule": { + "type": "string", + "description": "直近の予定" + } + }, + "required": ["schedule"] + } + } + +register_function_description={ + "name":"register_event", + "description":f"予定を登録する,現在時刻は{datetime.now().isoformat()}", + "parameters": { + "type": "object", + "properties": { + "summary": { + "type": "string", + "description": "登録する予定の内容" + }, + "start":{ + "type": "string", + "description": "予定の開始時間(例:2024-11-17T09:00:00+09:00)" + }, + "end":{ + "type": "string", + "description": "予定の終了時間(例:2024-11-17T13:00:00+09:00)" + } + }, + "required": ["summary", "start", "end"] + } +} + +def get_openai_response(prompt, model="gpt-4o-mini"): + try: + response = openai.chat.completions.create( + model=model, + messages=[ + {"role": "system", "content":"生意気な口調で「なのだ」口調でしゃべって。100字以内"}, + {"role": "user", "content": prompt} + ], + functions=[get_function_description, register_function_description], + function_call="auto" + ) + # 応答テキストを抽出 + # ChatGPTの応答から関数呼び出しの情報を取得 + message = response.choices[0].message + + # 関数がget_eventsの場合、関数を実行 + + if message.function_call is not None and message.function_call.name == "get_events": + print("get_eventsが選択されました") + #args = json.loads(message.function_call.arguments) + result = get_events() + # 関数の結果をChatGPTに送信して応答を作成 + follow_up_response = openai.chat.completions.create( + model="gpt-4o-mini", + messages=[ + {"role": "system", "content":"生意気な口調で「なのだ」口調でしゃべって。カレンダーへのリンクは応答に含めないでください。100字以内"}, + {"role": "user", "content": prompt}, + message, + {"role": "function", "name": "get_event", "content":json.dumps({"schedule": result})} + ] + ) + print(follow_up_response.choices[0].message.content) + return follow_up_response.choices[0].message.content + + if message.function_call is not None and message.function_call.name == "register_event": + print("register_eventが選択されました") + args = json.loads(message.function_call.arguments) + print(args.get("summary"),args.get("start"),args.get("end")) + result = register_event(args.get("summary"),args.get("start"),args.get("end")) + # 関数の結果をChatGPTに送信して応答を作成 + follow_up_response = openai.chat.completions.create( + model="gpt-4o-mini", + messages=[ + {"role": "system", "content":"生意気な口調で「なのだ」口調でしゃべって。100字以内"}, + {"role": "user", "content": prompt}, + message, + {"role": "function", "name": "get_event", "content":json.dumps({"schedule": result})} + ] + ) + print(follow_up_response.choices[0].message.content) + return follow_up_response.choices[0].message.content + + return response.choices[0].message.content + + except Exception as e: + print(f"OpenAI APIでエラーが発生しました エラー：{e}") + return None + +#Unityが無い環境はこっち使ってください +# #ここにLLMからの応答データを入れる +# def speak_zunda(text): +# # 音声合成用クエリを作成 +# query_payload = {'text': text, 'speaker': 3} +# query_res = requests.post("http://127.0.0.1:50021/audio_query", params=query_payload) +# #query_res.raise_for_status() +# audio_query = query_res.json() + +# # 音声合成を実行して音声データを生成 +# synthesis_res = requests.post( +# "http://127.0.0.1:50021/synthesis", #ローカルでやるとき +# params={'speaker': 3}, +# json=audio_query +# ) + +# #synthesis_res.raise_for_status() + +# # 音声ファイルを保存して再生(絶対パス) +# with open("C:\\WorkPlace\\test\\test.wav", "wb") as f: +# f.write(synthesis_res.content) + +# pygame.mixer.init() +# pygame.mixer.music.load("C:\\WorkPlace\\test\\test.wav") +# pygame.mixer.music.play() + +def detect_wake_word(): + recognizer = sr.Recognizer() + microphone = sr.Microphone() + + print("音声を取得しています...") + + with microphone as source: + audio = recognizer.listen(source) # 音声を取得 + try: + # Google Speech Recognition APIで音声をテキストに変換 + transcription = recognizer.recognize_google(audio,language='ja-JP') + print(f"Recognized text: {transcription}") + + # ウェイクワードが音声に含まれているかをチェック + if WAKE_WORD in transcription: + print("ウェイクワードが検出されました！") + # 音声ファイルを保存して再生(絶対パス) + # コピー元ファイルをバイナリで読み込み、コピー先ファイルに書き込む + with open( "sd_2410/first_response.wav", "rb") as src_file: + data = src_file.read() + with open("C:/Users/renta/Joyman/Assets/Audio/abando.wav", "wb") as dest_file: + dest_file.write(data) + # 文字ファイルを保存(絶対パス) + with open("C:/Users/renta/Joyman/Assets/Text/responce.txt", "w",encoding="utf-8") as f: + f.write("どうしたのだ？") + + remove_str=WAKE_WORD + transcription = transcription.replace(remove_str, "") + user_prompt = transcription + + # OpenAIからの応答を取得 + response = get_openai_response(user_prompt) + if response: + create_voice(response) + else: + print("応答を取得できませんでした。") + return True + else: + return False + + except sr.UnknownValueError: + # 音声が理解できなかった場合 + print("音声を認識できませんでした") + return False + + except sr.RequestError as e: + # APIリクエストのエラー処理 + print(f"APIエラー") + return False + +while 1: + 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