app.py

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

openai_api_key = os.getenv("OPENAI_API_KEY")
 
client = OpenAI(api_key=openai_api_key)

def predict(input, _):
   response = client.chat.completions.create(
      model="gpt-3.5-turbo",
      messages=[
        {
          "role": "system",
          "content": f"""Today's date and time is {datetime.now()}. A text will be passed to you. Extract date and time from it. Output the date and time in the format YYYY-MM-DD hour:minutes. 
          
          If multiple date times are available, extract all dates and time from the text as a list data type and output them in the format YYYY-MM-DD hour:minutes.  
          
          Return an empty string if no date times are detected."""
        },
        {
          "role": "user",
          "content": input
        }
      ],
      temperature=0,
      max_tokens=10,
      top_p=1
    )
   return response.choices[0].message.content


#print(predict('Are you available for a meeting on 13th Feb at 2 pm '))

gr.ChatInterface(predict).launch()