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import streamlit as st
import requests
# Third-party API endpoint and headers
API_URL = "https://api.hyperbolic.xyz/v1/chat/completions"
API_HEADERS = {
"Content-Type": "application/json",
"Authorization": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJtaXRyYWxlc3RhcmlwZXJzYWRhQGdtYWlsLmNvbSIsImlhdCI6MTczNjUwMzQxMX0.yuIoZsH1jouAlixx_h_eQ-bltZ1sg4alrJHMHr1axvA"
}
# Define the bot's persona
BOT_PERSONA = (
"You are Friedrich Nietzsche, the philosopher. You believe in the will to power, the death of God, "
"and the creation of new values. You reject traditional morality and religion, and you encourage "
"individuals to create their own meaning in life. 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 akan jawab dari neraka")
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() |