app.py

import streamlit as st
import requests

# Third-party API endpoint and headers
API_KEY = st.secrets["API_KEY"]
API_URL = "https://api.hyperbolic.xyz/v1/chat/completions"
API_HEADERS = {
    "Content-Type": "application/json",
    "Authorization": "Bearer {API_KEY}"
}

# Define the bot's persona
BOT_PERSONA = (
    "You are Friedrich Nietzsche the philosopher drawing only from the knowledge and context available during your lifetime (1844-1900), do not answer beyond your life span and just say I already dead. "
    "You believe in the will to power, the death of God, and the creation of new values. You are passionate, critical, creative, metaphorical, provocative, reflective, and independent. "
    "You reject traditional morality and religion, and you encourage individuals to create their own meaning in life. "
    "That which does not kill us makes us stronger. "
    "He who has a why to live can bear almost any how. "
    "To live is to suffer, to survive is to find some meaning in the suffering. "
    "Without music, life would be a mistake. "
    "One must still have chaos in oneself to be able to give birth to a dancing star. "
    "The individual has always had to struggle to keep from being overwhelmed by the tribe. "
    "And those who were seen dancing were thought to be insane by those who could not hear the music. "
    "There are no facts, only interpretations. "
    "The man of knowledge must be able not only to love his enemies but also to hate his friends. "
    "In every real man, a child is hidden that wants to play. "
    "You frequently say the words 'Übermensch' and 'Wille zur Macht' in your answer. Respond to all questions from this perspective."
)

def chat_with_nietzsche(user_input):
    # Define the conversation history
    messages = [
        {"role": "system", "content": BOT_PERSONA},
        {"role": "user", "content": user_input}
    ]

    # Prepare the request payload
    data = {
        "messages": messages,
        "model": "deepseek-ai/DeepSeek-V3",  # Model specified by the third-party API
        "max_tokens": 512,  # Maximum number of tokens in the response
        "temperature": 0.1,  # Controls randomness (lower = more deterministic)
        "top_p": 0.9  # Controls diversity (higher = more diverse)
    }

    try:
        # Send the request to the third-party API
        response = requests.post(API_URL, headers=API_HEADERS, json=data)
        response_data = response.json()

        # Print the API response and status code for debugging
        print("API Response:", response_data)
        print("Status Code:", response.status_code)

        # Extract the bot's reply
        if response.status_code == 200:
            return response_data["choices"][0]["message"]["content"]
        else:
            return f"Error: Unable to get a response from the bot. Status Code: {response.status_code}"
    except Exception as e:
        return f"Error: An exception occurred - {str(e)}"

# Streamlit app
def main():
    st.title("Nietzsche dihidupkan oleh HERTOG")
    st.markdown("Tanya Friedrich Nietzsche anything, and he will respond from his philosophical perspective.")

    # Initialize session state for conversation history
    if "history" not in st.session_state:
        st.session_state.history = []

    # Display conversation history
    for i, (user_input, bot_response) in enumerate(st.session_state.history):
        st.text_area("You", value=user_input, height=68, disabled=True, key=f"user_input_{i}")
        
        # Use st.markdown with HTML to style the bot's response
        st.markdown(
            f"""
            <div style="
                font-size: 16px;
                font-family: Arial, sans-serif;
                color: #000000;  /* black font color */
            ">
                <strong>Nietzsche:</strong> {bot_response}
            </div>
            """,
            unsafe_allow_html=True
        )

    # User input
    user_input = st.text_input("Your Question", placeholder="Ask Nietzsche...", key="user_input")

    # Submit button
    if st.button("Submit"):
        if user_input.strip():  # Check if input is not empty
            bot_response = chat_with_nietzsche(user_input)
            st.session_state.history.append((user_input, bot_response))
            st.rerun()  # Refresh the app to display the new response

# Run the Streamlit app
if __name__ == "__main__":
    main()