52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
import requests
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import os
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import streamlit as st
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from dotenv import load_dotenv
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from settings import load_settings
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from utils import construct_prompt
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from config import INPUT_TEMPLATE, SYSTEM_PROMPT, PROMPT_TEMPLATE
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# Load API key from .env file
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load_dotenv()
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api_key = os.getenv("OPENAI_API_KEY")
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if not api_key:
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st.error("API key not found. Please set OPENAI_API_KEY in your .env file.")
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st.stop()
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api_url = "https://genai.dev.odp.lhgroup.de/openai/deployments/gpt-4-turbo/chat/completions?api-version=2023-07-01-preview"
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def fetch_okrs(user_input: str):
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#settings = load_settings()
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#system_prompt = settings["system_prompt"]
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#input_template = settings["input_template"]
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print("fetch_okr-user_input:", user_input)
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print("input_template:", INPUT_TEMPLATE)
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user_prompt = construct_prompt(prompt_template=PROMPT_TEMPLATE, user_input=user_input)
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print("user_prompt:", user_prompt)
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headers = {"api-key": api_key, "Content-Type": "application/json"}
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body = {
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"messages": [
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{"role": "system", "content": SYSTEM_PROMPT},
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{"role": "user", "content": user_prompt}
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]
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}
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#print("system prompt:", system_prompt)
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print("request body:", body)
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try:
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response = requests.post(url=api_url, headers=headers, json=body)
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response.raise_for_status()
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return response.json()
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except Exception as e:
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st.error(f"Error fetching data from API: {e}")
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return None
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#from config import INPUT_TEMPLATE
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#result = fetch_okrs(user_input=INPUT_TEMPLATE)
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#objective = result['choices'][0]['message']['content']
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#print(type(objective)) |