app.py

import gradio as gr
import os
from openai import OpenAI
from datetime import datetime, timezone, timedelta
import hashlib
import hmac

################# Start PERSONA-SPECIFIC VALUES ######################
coach_code = os.getenv("COACH_CODE")
coach_name_short = os.getenv("COACH_NAME_SHORT")
coach_name_upper = os.getenv("COACH_NAME_UPPER")
sys_prompt_new = os.getenv("PROMPT_NEW")
theme=os.getenv("THEME")
################# End PERSONA-SPECIFIC VALUES ######################

################# Start OpenAI-SPECIFIC VALUES ######################
# Initialize OpenAI API client with API key
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
# OpenAI model
openai_model = os.getenv("OPENAI_MODEL")
################# End OpenAI-SPECIFIC VALUES ######################

tx = os.getenv("TX")
prefix = os.getenv("PREFIX")  #  "/data/" if in HF or "data/" if local
file_name = os.getenv("FILE_NAME")

############### VERIFY USER ###################
def generate_access_code(time):
    secret = os.getenv("SHARED_SECRET_KEY")
    
    time_block = time.replace(minute=(time.minute // 10) * 10, second=0, microsecond=0)
    time_string = time_block.strftime('%Y%m%d%H%M')
    
    hmac_obj = hmac.new(secret.encode(), time_string.encode(), hashlib.sha256)
    hmac_digest = hmac_obj.hexdigest()
    
    xor_result = bytes(int(hmac_digest[i], 16) ^ int(hmac_digest[-4+i], 16) for i in range(4))
    
    return xor_result.hex()[:4]

def verify_code(code, access_granted):
    now = datetime.now(timezone.utc)
    
    codes = [generate_access_code(now + timedelta(minutes=offset)) 
             for offset in [-20, -10, 0, 10, 20]]
    
    if code in codes:
        return True, gr.update(interactive=True), gr.update(interactive=True), "Access granted. Please proceed to the Chat tab."
    else:
        return False, gr.update(interactive=False), gr.update(interactive=False), "Incorrect code. Please try again."

############### CHAT ###################
def predict(user_input, history, access_granted):
    if not access_granted:
        return history, "Access not granted. Please enter the correct code in the Access tab."
    
    max_length = 1000
    if len(user_input) > max_length:
        user_input = ""

    transcript_file_path = f"{prefix}{coach_code}-{file_name}"

    if user_input == tx + coach_code:
        try:
            if os.path.exists(transcript_file_path):
                with open(transcript_file_path, "r", encoding="UTF-8") as file:
                    return history, file.read()
        except FileNotFoundError:
            return history, "File '" + file_name + "' not found."

    history_openai_format = [
        {"role": "system", "content": "IDENTITY: " + sys_prompt_new}
    ]
    for human, assistant in history:
        history_openai_format.append({"role": "user", "content": human})
        history_openai_format.append({"role": "assistant", "content": assistant})
    history_openai_format.append({"role": "user", "content": user_input})

    completion = client.chat.completions.create(
        model=openai_model,
        messages=history_openai_format,
        temperature=0.8,
        frequency_penalty=0.4,
        presence_penalty=0.1,
        stream=True
    )

    message_content = ""
    for chunk in completion:
        if chunk.choices[0].delta.content is not None:
            message_content += chunk.choices[0].delta.content

    # Append latest user and assistant messages to the transcript
    transcript = f"Date/Time: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n"
    transcript += f"YOU: {user_input}\n\n"
    transcript += f"{coach_name_upper}: {message_content}\n\n\n"
    
    # Write the updated transcript to the file
    with open(transcript_file_path, "a", encoding="UTF-8") as file:
        file.write(transcript)

    history.append((user_input, message_content))
    return history, ""

with gr.Blocks(theme, css="""
    #chatbot { flex-grow: 1; height: 340px; overflow-y: auto; }
    .gradio-container { height: 680px; max-width: 100% !important; padding: 0 !important; }
    #component-0 { height: 95%; }
    #component-3 { height: calc(95% - 250px); }
    footer { display: none !important; }
    #submit-btn { margin-top: 10px; }
    #code_submit {
        height: 50px !important;
        font-size: 1.2em !important;
    }
    .message-wrap { max-height: none !important; overflow-y: auto !important; }
    .chat-wrap { max-height: none !important; overflow-y: auto !important; }
    @media (max-width: 600px) {
        #code_submit {
            height: 60px !important;
            font-size: 1.3em !important;
        }
        #code_message {
            font-size: 1.2em !important;
            padding: 10px !important;
        }
    }
""") as demo:
    access_granted = gr.State(False)

    with gr.Tab("Access"):
        with gr.Tab("Access"):
            gr.Markdown("Enter the Access Code displayed in the upper-left corner.")
            code_input = gr.Textbox(label="Access Code", type="text", placeholder="Enter CODE here...")
            code_submit = gr.Button("Submit Code", elem_id="code_submit")
            code_message = gr.Label(label="Status", elem_id="code_message")

    with gr.Tab("Chat"):
        chatbot = gr.Chatbot(label="Conversation", elem_id="chatbot", height=340)
        msg = gr.Textbox(
            label=f"Chat with {coach_name_short}", 
            placeholder="Type your message here... (MAX: 1000 characters)",
            autofocus=True,
            interactive=False
        )
        submit = gr.Button("Submit Message", interactive=False)

    def submit_code(code, access_granted):
        success, _, _, message = verify_code(code, access_granted)
        color = "#388e3c" if success else "#d32f2f"  # Green for success, Red for error
        return success, gr.update(interactive=success), gr.update(interactive=success), gr.update(value=message, color=color)

    code_input.submit(submit_code, inputs=[code_input, access_granted], outputs=[access_granted, msg, submit, code_message])
    code_submit.click(submit_code, inputs=[code_input, access_granted], outputs=[access_granted, msg, submit, code_message])

    msg.submit(predict, [msg, chatbot, access_granted], [chatbot, msg])
    submit.click(predict, [msg, chatbot, access_granted], [chatbot, msg])

demo.launch(show_api=False)