app.py

import gradio as gr
import openai
import os
from openai import OpenAI

client = OpenAI()

# Load your OpenAI API key from the environment variable
openai.api_key = os.getenv("OPENAI_API_KEY")

# Read the static CV file
def load_cv():
    with open("templated_CV.txt", 'r') as file:
        return file.read()

# Extract information from the CV
cv_text = load_cv()

def chat_with_ai(user_input):  
      completion = client.chat.completions.create(
      model="gpt-3.5-turbo",
      messages=[
        {"role": "system", "You are a helpful assistant that can only answer questions about Karthik Raja"},
        {"role": "user", "{cv_text}\n\nUser: {user_input}"}
      ]
    )
    
    return completion.choices[0].message

def main(user_input):
    response = chat_with_ai(user_input)
    return response

iface = gr.Interface(
    fn=main,
    inputs=gr.Textbox(label="Ask a question, that you would like to ask Karthik"),
    outputs="text",
    title="AI Clone",
    description="Interact with an AI clone for recruiting or for fun :) "
)

iface.launch()