app.py

import gradio as gr
import os
import requests


HUGGING_FACE_TOKEN=os.environ.get('HUGGING_FACE_TOKEN', None)
airtable_api_key = os.environ.get('AIRTABLE_API_KEY')
base_id = os.environ.get('AIRTABLE_BASE_ID')
users_table_name = os.environ.get('USERS_TABLE_NAME')
user_log_table_name = os.environ.get('USER_LOG_TABLE_NAME')
#App name for user login logging
app = os.environ.get('APP_NAME')

#Header for the Airtable requests
headers = {
    "Authorization": f"Bearer {airtable_api_key}",
    "Content-Type": "application/json",
    "Accept": "application/json",
}

def log_login(username):

    airtable_endpoint = f'https://api.airtable.com/v0/{base_id}/{user_log_table_name}'

    # Organize data for Airtable
    new_fields = {
            'user_name': str(username),
            'app': str(app)
        }

    data = {
        'fields': new_fields
        }

    try:
    # Post data to Airtable
        response = requests.post(airtable_endpoint, headers=headers, json=data)

        # Check for errors
        response.raise_for_status()

    except requests.exceptions.HTTPError as http_error:
        # Handle the HTTP error (e.g., log it or display an error message)
        print(f"HTTP error occurred: {http_error}")

    except Exception as e:
        # Handle exceptions, log errors, or raise them as needed
        print(f"An error occurred: {str(e)}")


def login_auth(username, password):

    airtable_endpoint = f'https://api.airtable.com/v0/{base_id}/{users_table_name}'
    
    # Query the 'users' table to check for a match with the provided username and password
    params = {
        'filterByFormula': f'AND(user_name = "{username}", password = "{password}")'
    }

    response = requests.get(airtable_endpoint, headers=headers, params=params)
    
    if response.status_code == 200:
        data = response.json()
        #If the matching user/password record is found:
        if data.get('records'):

            #Log that the user logged in
            log_login(username)

            #Set the global logged_in_user variable. This used in the append_to_at_qalog function to track what user asked the question
            global logged_in_user
            logged_in_user = username

            return True

        print(f"Invalid user/password combination (Airtable)")

    return False

nili = gr.load(src="spaces",name="dwipper/Scout",hf_token=HUGGING_FACE_TOKEN)
nili.launch(auth=login_auth, auth_message= "Enter your username and password that you received from CIMS.AI. To request a login, please email 'info@cims.ai'")