Update app.py

app.py

@@ -2,7 +2,69 @@ import gradio as gr
 import os
 
 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')
+
+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")
+
+    return False
 
 nili = gr.load(src="spaces",name="dwipper/NILI",hf_token=HUGGING_FACE_TOKEN)
 
-nili.launch()
+iface.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'")
+#nili.launch()