Add application files

Dockerfile

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+# Use an official Python runtime as a base image
+FROM python:3.10.9
+
+# Set the working directory in the container
+WORKDIR /
+
+# Copy the current directory contents into the container at /app
+COPY . .
+
+# Install any needed dependencies specified in requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /requirements.txt
+
+# Make port 80 available to the world outside this container
+EXPOSE 80
+
+# Define the command to run your FastAPI application
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
+

botree-404708-b377977f1aa4.json

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+{
+  "type": "service_account",
+  "project_id": "botree-404708",
+  "private_key_id": "b377977f1aa45154144b3049c8f57594837db9c7",
+  "private_key": "-----BEGIN PRIVATE KEY-----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\nnO7Ah6W1yBBT8OS1Qq2mOIGH\n-----END PRIVATE KEY-----\n",
+  "client_email": "botree-admin@botree-404708.iam.gserviceaccount.com",
+  "client_id": "105695796499118798313",
+  "auth_uri": "https://accounts.google.com/o/oauth2/auth",
+  "token_uri": "https://oauth2.googleapis.com/token",
+  "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
+  "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/botree-admin%40botree-404708.iam.gserviceaccount.com",
+  "universe_domain": "googleapis.com"
+}

main.py

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+
+from fastapi import Request, FastAPI, BackgroundTasks
+import gspread
+import requests
+import openai
+
+# OpenAI API KEY
+API_KEY = "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"
+openai.api_key = API_KEY
+
+
+# Chatbase API를 이용해 텍스트를 보내고 응답을 받는 함수
+def getResponseFromChatbase(prompt):
+    url = "https://www.chatbase.co/api/v1/chat"
+    payload = {
+        "stream": False,
+        "temperature": 0,
+        "chatId": "6dMpdT5zPPS5ik9pKptsH",
+        "messages": [{"role": "user", "content": prompt}]
+    }
+    headers = {
+        "accept": "application/json",
+        "content-type": "application/json",
+        "authorization": "Bearer e81b355c-30cc-47ca-b9fa-deb33f7159ad"
+    }
+    response = requests.post(url, json=payload, headers=headers)
+    # Chatbase API 응답의 형태에 따라 적절한 필드를 반환
+    # {"text":"안녕하세요! 이나라도움 AI입니다. 어떤 도움이 필요하신가요?"}
+    return response.json()['text']
+
+
+def getResponseFromGooey(prompt):
+    url = "https://api.gooey.ai/v2/TextToSpeech/"
+    gooey_key = 'sk-lbYNmTYKFA7Fb0yP60QsB5huMHjBmyRAJ0kJeFZMdgifeAEN'
+    payload = {
+        "text_prompt": prompt,
+        "tts_provider": "ELEVEN_LABS",
+        "uberduck_voice_name": "the-rock",
+        "uberduck_speaking_rate": 1,
+        "google_voice_name": "en-IN-Wavenet-A",
+        "google_speaking_rate": 1,
+        "google_pitch": 0,
+        "bark_history_prompt": "en_speaker_0",
+        "elevenlabs_voice_name": None,
+        "elevenlabs_api_key": "c5fb99a2b25402f104d246379bcf819a",
+        "elevenlabs_voice_id": "SKwm0HLYsVDCM2ruvw2p",
+        "elevenlabs_model": "eleven_multilingual_v2",
+        "elevenlabs_stability": 0.5,
+        "elevenlabs_similarity_boost": 0.75,
+        "elevenlabs_style": 0,
+        "elevenlabs_speaker_boost": True,
+    }
+    headers = {
+        "accept": "application/json",
+        "content-type": "application/json",
+        "authorization": "Bearer " + gooey_key
+    }
+    response = requests.post(url, json=payload, headers=headers)
+    return response.json()['output']['audio_url']
+
+
+# 메세지 전송을 위한 포맷 함수
+def textResponseFormatKakao(bot_response):
+    response = {
+        'version': '2.0',
+        'template': {
+            'outputs': [{"simpleText": {"text": bot_response}}],
+            'quickReplies': []
+        }
+    }
+    return response
+
+
+# ChatGPT에게 질문/답변 받기
+def getTextFromGPT(prompt):
+    text = 'You are a thoughtful assistant.'\
+           ' Respond to all input in 25 words and answer in korean.'
+    messages_prompt = [{
+        "role": "system",
+        "content": text
+    }]
+    messages_prompt += [{"role": "user", "content": prompt}]
+    response = openai.ChatCompletion.create(model="gpt-3.5-turbo",
+                                            messages=messages_prompt)
+    message = response["choices"][0]["message"]["content"]
+    return message
+
+
+def create_callback_request_kakao(prompt, serverType, callbackUrl):
+    if serverType == 'CHAT':
+        # OpenAI API/Chatbase 로 prompt를 던져서 결과를 받아옵니다.
+        bot_res = getResponseFromChatbase(prompt)
+    elif serverType == 'AUDIO':
+        # Gooey로 prompt를 던져서 오디오 파일 경로를 받아옵니다.
+        bot_res = getResponseFromGooey(prompt)
+
+    # callbackUrl로 결과값을 post방식으로 전송합니다.
+    headers = {'Content-Type': 'application/json; charset=utf-8'}
+    requests.post(
+        callbackUrl,
+        json=textResponseFormatKakao(bot_res),
+        headers=headers,
+        timeout=5
+    )
+    return ""
+
+
+# FastAPI 애플리케이션 인스턴스 생성
+app = FastAPI()
+
+
+# 백그라운드 처리: verymuchmorethanastronomically.tistory.com/18 참고.
+@app.post("/chat2/", tags=["kakao"])
+async def chat2(request: Request, background_tasks: BackgroundTasks,):
+    # await 처리하지 않으면 userRequest를 읽다가 에러가 발생됩니다.
+    kakao_request = await request.json()
+
+    # /ask, /img, /gs 처리.
+    if '/gs' in kakao_request["userRequest"]["utterance"]:
+        question = kakao_request["userRequest"]["utterance"].replace("/gs", "")
+        # json 파일이 위치한 경로를 값으로 줘야 합니다.
+        json_file_path = "botree-404708-b377977f1aa4.json"
+        gc = gspread.service_account(json_file_path)
+        sheet = 'https://docs.google.com/spreadsheets/d/'\
+                '1Iq5N59xU725bmxas730B_UQYZvX4EK_0rnRL-egxl_I/edit?usp=sharing'
+        doc = gc.open_by_url(sheet)
+        worksheet = doc.worksheet("시트1")
+
+        # 이전에 입력된 데이터가 있는 경우 마지막 행을 찾아서 다음 행에 데이터를 추가
+        last_row = len(worksheet.col_values(1)) + 1
+        cell = f'A{last_row}'
+
+        # 사용자가 챗봇에 입력한 값을 해당 열에 넣어줍니다.
+        worksheet.update(cell, question)
+        return textResponseFormatKakao(f"{cell}에 작성 완료.")
+    elif '/sp' in kakao_request["userRequest"]["utterance"]:
+        prompt = kakao_request["userRequest"]["utterance"].replace("/sp", "")
+        type = 'AUDIO'
+    elif 'ask' in kakao_request['userRequest']['utterance']:
+        prompt = kakao_request["userRequest"]["utterance"].replace("/ask", "")
+        type = 'CHAT'
+
+    # 텍스트의 길이가 10자 이상 200자 이하인지 확인
+    length = len(kakao_request["userRequest"]["utterance"])
+    if length < 5 or length > 200:
+        return textResponseFormatKakao("질문은 5자 이상 200자 이하로 입력해주세요")
+
+    # 백그라운드로 카카오 챗봇에게 응답을 보냅니다.
+    background_tasks.add_task(
+        create_callback_request_kakao,
+        prompt=prompt,
+        serverType=type,
+        callbackUrl=kakao_request["userRequest"]["callbackUrl"],
+    )
+
+    # user_requests[user_id] += 1
+    # useCallback을 true처리해줘야 카카오에서 1분간 callbackUrl을 유효화시킵니다.
+    return {"version": "2.0", "useCallback": True}

requirements.text

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+fastapi
+uvicorn
+requests
+jinja2
+aiofiles
+gspread
+openai