Update app.py

app.py

@@ -7,19 +7,12 @@ import json
 from jinja2 import Template
 import requests
 
-# Initialize OpenAI
-openai.api_key = os.environ.get('OPENAI_API_KEY')
-
 # Configuration variables
 airtable_api_key = os.environ.get('AIRTABLE_API_KEY')
 
-# Airtable table names
-policies_table_name = 'tbla6PC65qZfqdJhE'
-prompts_table_name = 'tblYIZEB8m6JkGDEP'
-qalog_table_name = 'tbl4oNgFPWM5xH1XO'
 examples_table_name = 'tblu7sraOEmRgEGkp'
-users_table_name = 'tblLNe5ZL47SvrAEk'
-user_log_table_name = 'tblrlTsRrkl6BqMAJ'
+#Airtable Base ID
+base_id = 'appcUK3hUWC7GM2Kb'
 
 # Define the style and content for the response field
 label_text = "NILI Response"
@@ -28,9 +21,6 @@ background_color = "white"
 border_radius = "10px"
 response_label = f'<span style="display: inline-block; position: relative; z-index: var(--layer-4); border: solid var(--block-title-border-width) var(--block-title-border-color); border-radius: var(--block-title-radius); background: var(--block-title-background-fill); padding: var(--block-title-padding); color: var(--block-title-text-color); font-weight: var(--block-title-text-weight); font-size: var(--block-title-text-size); line-height: var(--line-sm); margin-bottom: var(--spacing-lg);">{label_text}</span>'
 
-#Airtable Base ID
-base_id = 'appcUK3hUWC7GM2Kb'
-
 #Name of the prompt temlate record
 #prompt_name = "NILI_v1"
 
@@ -44,133 +34,6 @@ headers = {
     "Accept": "application/json",
 }
 
-def set_defaults(request: gr.Request):
-
-    if request.username:
-        print(request.username)        
-    else:
-        print("No User Name")
-
-    return
-
-#Function to trim prompts....not used
-def prompt_trim(prompt: str) -> str:
-    lines = prompt.split('\n')
-    trimmed = '\n'.join([l.strip() for l in lines])
-    return trimmed
-
-#Get the policies for the selected schools and concatenate them.
-def get_policies(user_school):
-
-    airtable_endpoint = f'https://api.airtable.com/v0/{base_id}/{policies_table_name}'    
-
-    # Parameters for the API request to filter by 'school' field and retrieve 'policy_text'
-    params = {
-        'filterByFormula': f'school = "{user_school}"',
-        'fields[]': 'policy_text'  # Replace with the name of your field
-    }
-
-    # Initialize an empty string to store concatenated policies
-    concatenated_policies = ''
-
-    #print(params)
-
-    try:
-        # Send a GET request to the Airtable API
-        response = requests.get(airtable_endpoint, headers=headers, params=params)
-
-        # Check if the request was successful (status code 200)
-        if response.status_code == 200:
-            # Parse the JSON response
-            data = response.json()
-
-            # Check if there are records in the response
-            if data.get('records'):
-                
-                # Extract the 'policy_text' values from each record and concatenate them
-                for record in data['records']:
-                    policy_text = record['fields']['policy_text']
-                    if concatenated_policies:
-                        concatenated_policies += "\n----------\n"
-                    concatenated_policies += policy_text
-
-            else:
-                print("No records found in the 'policies' table for the selected schools.")
-        else:
-            print(f"Failed to retrieve data. Status code: {response.status_code}")
-    except Exception as e:
-        print(f"An error occurred: {str(e)}")
-
-    #print(concatenated_policies)   
-
-    return concatenated_policies
-
-#Get a list of School Name from the policies for the UI dropdown
-def get_schools():
-
-    airtable_endpoint = f'https://api.airtable.com/v0/{base_id}/{policies_table_name}'    
-
-    # Parameters for the API request to select only the 'school' field
-    params = {
-        'filterByFormula': f'app = "{app}"',        
-        'fields[]': 'school',  # Replace with the name of your field
-        'sort[0][field]': 'school',  # Sort by the 'school' field
-        'sort[0][direction]': 'asc',  # Sort in ascending order
-    }
-
-    schools = []
-
-    try:
-        # Send a GET request to the Airtable API
-        response = requests.get(airtable_endpoint, headers=headers, params=params)
-
-        # Check if the request was successful (status code 200)
-        if response.status_code == 200:
-            # Parse the JSON response
-            data = response.json()
-
-            # Check if there are records in the response
-            if data.get('records'):
-                # Extract the 'school' values from each record
-                schools = [record['fields']['school'] for record in data['records']]
-
-
-            else:
-                print("No records found in the 'policies' table.")
-        else:
-            print(f"Failed to retrieve data. Status code: {response.status_code}")
-    except Exception as e:
-        print(f"An error occurred: {str(e)}")
-
-    return schools
-
-#Get the designated prompt template record
-def get_prompt(header, template_content):
-
-    airtable_endpoint = f'https://api.airtable.com/v0/{base_id}/{prompts_table_name}'    
-
-    params = {
-        'filterByFormula': "prompt_name='NILI_v1'"
-    }
-
-    response = requests.get(airtable_endpoint, headers=headers, params=params)
-
-    # Check for errors
-    response.raise_for_status()
-
-    data = response.json()
-
-    # Check if there is at least one record matching the condition
-    if data.get('records'):
-        # Get the first record (there should be only one)
-        record = data['records'][0]['fields']
-            
-        # Assign system_prompt and user_prompt to variables
-        header = record.get('system_prompt', '')
-        template_content = record.get('user_prompt', '')
-
-    return header, template_content
-
 
 def get_examples():
 
@@ -201,216 +64,23 @@ def get_examples():
 
     return ui_examples
 
-def append_to_at_qalog(your_role, school_selection, output_format, input_text, gpt_response,response_time,question_cost,prompt_tokens,completion_tokens):
-
-    airtable_endpoint = f'https://api.airtable.com/v0/{base_id}/{qalog_table_name}'
-    
-    # Organize data for Airtable
-    new_fields = {
-            'your_role': str(your_role),
-            'school_selection': str(school_selection),
-            'output_format': str(output_format),
-            'input_text': str(input_text),
-            'gpt_response': str(gpt_response),
-            'response_time': str(response_time),
-            'question_cost': question_cost,
-            'user_name': str(logged_in_user),
-            'prompt_tokens': prompt_tokens,
-            'completion_tokens': completion_tokens
-        }
-
-    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)}")
-
-#Chatbot Function
-def chatbot(school_ddss,input_text):
-   
-    start_time = datetime.datetime.now()
-
-    school_text = school_ddss
-
-    # Read the Hydrated policies
-    policies = get_policies(school_text)
-
-    template_content = ''
-    header = ''
-
-    header, template_content = get_prompt(header, template_content)
-
-    header_template = Template(header)
-
-    #merged_header = header_template.render(your_role=your_role)
-    merged_header = header_template.render(your_role=user_user_role)
-
-    # Create a Jinja2 template from the content
-    template = Template(template_content)
-
-    # Render the template with the policy JSON
-    analysis_input = template.render(policies=policies, question=input_text,format=user_output_format,your_role=user_user_role)
-    trimmed_input = prompt_trim(analysis_input)
-
-    response = openai.ChatCompletion.create(
-        model="gpt-4",
-        temperature=0,
-        messages=[
-            {
-                "role": "system",
-                "content": merged_header
-            },
-            {
-                "role": "user",
-                "content": analysis_input
-            }
-          ]
-        )
-
-    gpt_response = response.choices[0].message["content"]
-
-    tokens_used = response.usage
-    question_cost = (tokens_used.get('total_tokens', 0) / 1000) * .03
-    prompt_tokens = tokens_used.get('prompt_tokens',)
-    completion_tokens = tokens_used.get('completion_tokens', 0)
-
-    end_time = datetime.datetime.now()
-    response_time = end_time - start_time
-
-    append_to_at_qalog(user_user_role, school_text, user_output_format, input_text, gpt_response, response_time,
-                       question_cost, prompt_tokens, completion_tokens)
-
-    return {nili_response_html: gpt_response}
-
-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'):
-
-            user_details = data['records'][0]['fields']
-
-            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,user_user_role, user_output_format, user_school
-            user_user_role = user_details.get('user_role')
-            user_output_format = user_details.get('output_format')
-            user_school =  user_details.get('school_name', [None])[0]
-            logged_in_user = username
-
-            return True
-
-        print(f"Invalid user/password combination")
-
-    return False
-
 #Gradio UI
-#CIMStheme = gr.themes.Soft().set(button_primary_background_fill='#6562F4',body_background_fill='#e6effc')
 CIMStheme = gr.themes.Soft().set(button_primary_background_fill='#6562F4')
 
-# Initialize an empty list to store the examples
-#ui_examples = []
-
-school_selection = []
-#username_text = ""
-
-#Gets the school for the school selection DD
-schools = get_schools()
-
-#This code runs first before the login screen, so if there's no login screen used, this sets the logged_in_user. Otherwise it is set in the login function.
-logged_in_user = 'admin'
-#global user_user_role, user_output_format, user_school
-user_user_role = "Student Athlete"
-user_output_format = "Table"
-#user_school = []
-
 with gr.Blocks(CIMStheme) as iface:
-    #with gr.Row():
-        #with gr.Column():
-            #gr.Image(label="Logo",value="CIMS Logo Purple.png",height=100,show_download_button=False,interactive=False,show_label=False,elem_id="logo",container=False)
     with gr.Row():
         with gr.Column():
             gr.Markdown(value="<H2 style='text-align: center;'>NILI - Powered by CIMS.AI</h2>")
-    with gr.Row():
-        with gr.Column(variant='panel'):
-            school_ddss = gr.components.Dropdown(schools, multiselect=False, info="Select your school.", label="School")
     with gr.Row():
         with gr.Column(variant='panel'):
             question_tbox= gr.components.Textbox(lines=3, placeholder="Enter your question here", label="NIL Question",info="Depending the scope of your question, results may take 30-60 sec.",interactive=True)
     with gr.Row(variant='panel'):
         with gr.Column():
             examples_cmpt= gr.Examples(examples=get_examples(),inputs=question_tbox,label="Sample NIL questions - Click to select one")
-    with gr.Row():
-        with gr.Column():
-            submit_btn = gr.components.Button(value="Submit", size='sm', variant="primary")
-    with gr.Row():
-        with gr.Column(variant='panel'):
-            response_label_md = gr.components.Markdown(response_label)
-            nili_response_html = gr.components.HTML(label="NILI Response")
-            submit_btn.click(fn=chatbot,inputs=[school_ddss, question_tbox],
-                             outputs=[nili_response_html])
     with gr.Row():
         with gr.Column():
             gr.Markdown(value="[Ask Questions/Provide Feedback](https://discord.com/channels/1168589934244929647/1168589934244929650)")
     with gr.Row():
         with gr.Column():
             gr.HTML('<center><i>© 2023 Collegiate Influencer Marketing Systems, Inc.</i><br>CIMS.AI, CIMS.AI logo, NILI, NILI logo, and EzNIL are trademarks of Collegiate Influencer Marketing Systems, Inc.</center>')
-    
-    #iface.load(fn=set_defaults)
-    
-#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'")
-#iface.launch(auth=("admin","admin"))
 iface.launch()