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Update app.py
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app.py
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@@ -3,14 +3,20 @@
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# file: app.py
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# ===========================================
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import json
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import asyncio
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import os
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import re
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import requests
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from dotenv import load_dotenv
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import chainlit as cl
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from chainlit import user_session
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from langchain import hub
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from langchain_openai import OpenAI
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from langchain.chains import LLMChain
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load_dotenv()
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OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
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auth_token = os.environ.get("DAYSOFF_API_TOKEN")
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API_URL = "https://aivisions.no/data/daysoff/api/v1/booking/"
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#If booking information is requested, and with
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def init_session():
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user_session.set('chat_history', [])
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print("chat_history: ", user_session.get('chat_history'))
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user_session.set('path_out', create_output_path())
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print("path_out: ", user_session.get('path_out'))
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llm = OpenAI(
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model="gpt-3.5-turbo-instruct",
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temperature=0.7,
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@cl.on_message
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async def handle_message(message: cl.Message):
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user_message = message.content
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llm_chain = cl.user_session.get("llm_chain")
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memory = cl.user_session.get("memory")
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await cl.Message(content=f"Error processing booking data: {str(e)}").send()
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else:
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await cl.Message(content="Booking not found
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except requests.exceptions.RequestException as e:
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await cl.Message(content=f"Request failed: {str(e)}").send()
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# file: app.py
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# ===========================================
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import os
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import re
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import uuid
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import time
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import json
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import asyncio
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import requests
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from pathlib import Path
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from datetime import datetime
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from dotenv import load_dotenv
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import chainlit as cl
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from chainlit import user_session
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from langchain import hub
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from langchain_openai import OpenAI
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from langchain.chains import LLMChain
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load_dotenv()
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OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
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auth_token = os.environ.get("DAYSOFF_API_TOKEN")
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API_URL = "https://aivisions.no/data/daysoff/api/v1/booking/"
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#If booking information is requested, and with
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)
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]
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def create_output_path(user=None):
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this_uuid = str(uuid.uuid4())
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ts = round(time.time())
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dt_object = datetime.fromtimestamp(ts)
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date = str(dt_object).replace(" ","_").replace(":","-")
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base_path = os.environ.get('HOME', '/home/user')
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logs_path = Path(f"{base_path}/logs")
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path_out = logs_path / f"{date}--{user or 'default'}--{this_uuid}"
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path_out.mkdir(exist_ok=True, parents=True)
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return path_out
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@cl.on_chat_start # <βββββββββββββββββ the Chainlit context
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def init_session():
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user_session.set('chat_history', [])
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print("chat_history: ", user_session.get('chat_history'))
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user_session.set('path_out', create_output_path())
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print("path_out: ", user_session.get('path_out'))
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#cl.user_session.set("session_created_at", datetime.now())
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#cl.user_session.set("connection_attempts", 0)
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#cl.user_session.set("connection_attempts", connection_attempts + 1)
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llm = OpenAI(
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model="gpt-3.5-turbo-instruct",
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temperature=0.7,
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@cl.on_message
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async def handle_message(message: cl.Message):
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#connection_attempts = cl.user_session.get("connection_attempts", 0)
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user_message = message.content
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llm_chain = cl.user_session.get("llm_chain")
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memory = cl.user_session.get("memory")
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await cl.Message(content=f"Error processing booking data: {str(e)}").send()
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else:
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await cl.Message(content="Booking not found.").send()
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except requests.exceptions.RequestException as e:
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await cl.Message(content=f"Request failed: {str(e)}").send()
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