helper.py

import openai
import os
import json
from prompts_and_chema import intent_description_map 

def chat_with_gpt(system_prompt, user_query, use_schema=False, schema=None):
    """
    Function to interact with OpenAI's GPT model

    Args:
        system_prompt (str): The system prompt to set the context
        user_query (str): The user's question or prompt

    Returns:
        str: The model's response
    """
    try:
        if use_schema:
          response = openai.ChatCompletion.create(
              model="gpt-4o",
              messages=[
                  {"role": "system", "content": system_prompt},
                  {"role": "user", "content": user_query}
              ],
              response_format={
                                "type": "json_schema",
                                "json_schema": {
                                    "name": "classify-intents",
                                    "schema": schema,
                                    "strict": True}
                                    },
          )
          return response.choices[0].message.content
        else:
          response = openai.ChatCompletion.create(
              model="gpt-4o",
              temperature = 0.6,
              messages=[
                  {"role": "system", "content": system_prompt},
                  {"role": "user", "content": user_query}
              ],
          )
          return response.choices[0].message.content
    except Exception as e:
        return f"An error occurred: {str(e)}"
    
def load_intent_texts(intents, get_txt_files):
    """
    Load text content for a list of intents based on a mapping of intent to file names.

    Args:
        intent_list (list): List of detected intents.
        get_txt_files (dict): Mapping of intent names to file paths.

    Returns:
        dict: Dictionary with intent names as keys and file content as values.
    """
    loaded_texts = {}
    intent_list = intents.get("intents", [])
    for intent in intent_list:
        filename = get_txt_files.get(intent)
        if filename:
            try:
                with open(filename, "r") as f:
                    loaded_texts[intent] = f.read()
            except FileNotFoundError:
                loaded_texts[intent] = f"[ERROR] File '{filename}' not found."
    return loaded_texts

def load_intent_description(intents, intent_description_map):
    intent_list = intents.get("intents", [])
    intent_description_string = ''
    for intent in intent_list:
        intent_description_string += '\n' + str(intent_description_map[intent])

    return intent_description_string