app.py

import streamlit as st
import streamlit as st
from openai import OpenAI
import json
import os


openai_api_key = os.getenv('OPENAI_API_KEY')

client = OpenAI(api_key=openai_api_key)

  

job_id = os.getenv('job_id')
response = client.fine_tuning.jobs.retrieve(job_id)



st.title("AI Assistant - Fine-Tuned Model")



user_input = st.text_input("Enter your question:")


if st.button("Ask"):
    if user_input:
     
        try: 
                    completion = client.chat.completions.create(
                          model="ft:gpt-3.5-turbo-0125:personal::AVdWfIMJ",
                          messages=[
                            {"role": "system", "content": "You are an assistant trained to translate natural language requests into OpenSearch queries. Use a step-by-step approach to break down the user's request, identify components like filters, aggregations, and sort criteria, and generate a valid OpenSearch JSON query."},
                            {"role": "user", "content": user_input}
                                  ]
                    )
     
                    st.write("Assistant's response:")
                    st.write(completion.choices[0].message.content)

        except Exception as e:
            st.write("Error:", e)
    else:
        st.write("Please enter a question.")