Update app.py
Browse files
app.py
CHANGED
@@ -1,18 +1,19 @@
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import streamlit as st
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import time
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import requests
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from streamlit.components.v1 import html
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#
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def inject_custom_css():
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st.markdown("""
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<style>
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@import url('https://fonts.googleapis.com/css2?family=Poppins:wght@400;600;700&display=swap');
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-
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* {
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font-family: 'Poppins', sans-serif;
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}
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.title {
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font-size: 3rem !important;
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font-weight: 700 !important;
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text-align: center;
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margin-bottom: 0.5rem;
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}
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-
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.subtitle {
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font-size: 1.2rem !important;
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text-align: center;
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color: #666 !important;
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margin-bottom: 2rem;
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}
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.question-box {
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background: #F8F9FA;
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border-radius: 15px;
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box-shadow: 0 4px 6px rgba(0,0,0,0.1);
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color: black;
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}
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.final-reveal {
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animation: fadeIn 2s;
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font-size: 2.5rem;
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text-align: center;
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margin: 2rem 0;
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}
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-
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@keyframes fadeIn {
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from { opacity: 0; }
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to { opacity: 1; }
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}
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.confetti {
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position: fixed;
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top: 0;
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</style>
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""", unsafe_allow_html=True)
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#
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def show_confetti():
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html("""
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<canvas id="confetti-canvas" class="confetti"></canvas>
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<script>
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const canvas = document.getElementById('confetti-canvas');
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const confetti = confetti.create(canvas, { resize: true });
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confetti({
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particleCount: 150,
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spread: 70,
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origin: { y: 0.6 }
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});
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</script>
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""")
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#
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def ask_llama(
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api_url = "https://api.groq.com/openai/v1/chat/completions"
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headers = {
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"Authorization": "Bearer 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",
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"Content-Type": "application/json"
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}
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data = {
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"model": "llama-3-70b-
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"messages":
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"temperature": 0.7,
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"max_tokens": 100
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}
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try:
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return response.json()["choices"][0]["message"]["content"]
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except Exception as e:
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st.error(f"API
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return
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#
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def main():
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inject_custom_css()
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st.markdown('<div class="title">KASOTI</div>', unsafe_allow_html=True)
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st.markdown('<div class="subtitle">The Ultimate Guessing Game</div>', unsafe_allow_html=True)
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st.session_state.
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-
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'input_buffer': ""
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}
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game = st.session_state.game
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# Start screen
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if
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st.markdown("""
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<div class="question-box">
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<h3>Welcome to <span style='color:#6C63FF;'>KASOTI 🎯</span></h3>
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<p>
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<p>
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<ul>
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<li><strong>person</strong>
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<li><strong>place</strong>
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<li><strong>object</strong>
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</ul>
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</div>
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""", unsafe_allow_html=True)
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if st.button("Person", use_container_width=True):
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game['category'] = 'person'
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game['state'] = 'playing'
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st.rerun()
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with col2:
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if st.button("Place", use_container_width=True):
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game['category'] = 'place'
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game['state'] = 'playing'
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st.rerun()
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with col3:
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if st.button("Object", use_container_width=True):
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game['category'] = 'object'
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game['state'] = 'playing'
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st.rerun()
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# Game play screen
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elif game['state'] == 'playing':
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if not game['questions']:
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first_q = ask_llama([{"role": "user", "content": "Ask your first yes/no question."}], game['category'])
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if first_q:
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game['questions'].append(first_q)
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game['conversation'].append({"role": "assistant", "content": first_q})
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st.rerun()
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else:
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st.error("Failed to generate question.")
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game['state'] = 'start'
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st.rerun()
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current_q_index = len(game['questions']) - 1
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current_q = game['questions'][current_q_index]
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st.markdown(f"""
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<div class="question-box">
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Question {current_q_index + 1}:<br><br>
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<strong>{current_q}</strong>
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</div>
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""", unsafe_allow_html=True)
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-
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)
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if can_guess and can_guess.strip().lower() == 'yes':
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game['state'] = 'result'
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st.rerun()
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# Generate next question
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if current_q_index < 19:
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next_q = ask_llama(game['conversation'], game['category'])
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if next_q:
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game['questions'].append(next_q)
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game['conversation'].append({"role": "assistant", "content": next_q})
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st.rerun()
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else:
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st.error("Couldn't get next question.")
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else:
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-
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st.
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show_confetti()
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st.markdown('<div class="final-reveal">🎉 I think it\'s...</div>', unsafe_allow_html=True)
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time.sleep(1)
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st.markdown(f'<div class="final-reveal" style="font-size:3.5rem;color:#6C63FF;">{final_guess}</div>', unsafe_allow_html=True)
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else:
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st.error("Sorry, I couldn't make a guess.")
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st.session_state.clear()
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st.rerun()
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import streamlit as st
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import time
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import requests
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import json
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from streamlit.components.v1 import html
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# Custom CSS for professional look
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def inject_custom_css():
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st.markdown("""
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<style>
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@import url('https://fonts.googleapis.com/css2?family=Poppins:wght@400;600;700&display=swap');
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* {
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font-family: 'Poppins', sans-serif;
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}
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.title {
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font-size: 3rem !important;
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font-weight: 700 !important;
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text-align: center;
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margin-bottom: 0.5rem;
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}
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.subtitle {
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font-size: 1.2rem !important;
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text-align: center;
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color: #666 !important;
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margin-bottom: 2rem;
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}
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.question-box {
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background: #F8F9FA;
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border-radius: 15px;
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box-shadow: 0 4px 6px rgba(0,0,0,0.1);
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color: black;
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}
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.answer-btn {
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border-radius: 12px !important;
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padding: 0.5rem 1.5rem !important;
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font-weight: 600 !important;
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margin: 0.5rem !important;
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}
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.yes-btn {
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background: #6C63FF !important;
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color: white !important;
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}
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.no-btn {
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background: #FF6B6B !important;
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color: white !important;
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}
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.final-reveal {
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animation: fadeIn 2s;
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font-size: 2.5rem;
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text-align: center;
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margin: 2rem 0;
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}
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@keyframes fadeIn {
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from { opacity: 0; }
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to { opacity: 1; }
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}
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.confetti {
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position: fixed;
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top: 0;
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</style>
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""", unsafe_allow_html=True)
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# Confetti animation (for final reveal)
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def show_confetti():
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html("""
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<canvas id="confetti-canvas" class="confetti"></canvas>
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<script>
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const canvas = document.getElementById('confetti-canvas');
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const confetti = confetti.create(canvas, { resize: true });
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confetti({
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particleCount: 150,
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spread: 70,
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origin: { y: 0.6 }
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});
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setTimeout(() => {
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canvas.remove();
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}, 5000);
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</script>
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""")
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# Groq Llama AI API call
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def ask_llama(conversation_history, category):
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api_url = "https://api.groq.com/openai/v1/chat/completions" # Updated API URL
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headers = {
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"Authorization": "Bearer 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", # Your new API key
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"Content-Type": "application/json"
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}
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messages = [
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{
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"role": "system",
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"content": f"You're playing 20 questions to guess a {category}. Ask strategic yes/no questions."
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}
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] + conversation_history
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data = {
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"model": "llama-3.3-70b-versatile", # The model you are using
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"messages": messages,
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"temperature": 0.7,
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"max_tokens": 100
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}
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try:
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response = requests.post(api_url, headers=headers, json=data)
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response.raise_for_status()
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return response.json()["choices"][0]["message"]["content"]
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except Exception as e:
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st.error(f"Error calling Llama API: {str(e)}")
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return "Could not generate question"
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# Game logic
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def main():
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inject_custom_css()
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st.markdown('<div class="title">KASOTI</div>', unsafe_allow_html=True)
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st.markdown('<div class="subtitle">The Ultimate Guessing Game</div>', unsafe_allow_html=True)
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if 'game_state' not in st.session_state:
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st.session_state.game_state = "start"
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st.session_state.questions = []
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st.session_state.current_q = 0
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st.session_state.answers = []
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st.session_state.conversation_history = []
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st.session_state.category = None
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# Start screen
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if st.session_state.game_state == "start":
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st.markdown("""
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<div class="question-box">
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<h3>Welcome to <span style='color:#6C63FF;'>KASOTI 🎯</span></h3>
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<p>This is a fun guessing game! You'll think of something, and I'll ask maximum 20 Yes/No questions to guess what it is.</p>
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<p>You can choose from three categories:</p>
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<ul>
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<li><strong>person</strong> – like a celebrity, fictional character, etc.</li>
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<li><strong>place</strong> – like a city, country, or location</li>
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<li><strong>object</strong> – like something you can touch or use</li>
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</ul>
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<p><strong>Type one of these categories below</strong> to begin: <code>person</code>, <code>place</code>, or <code>object</code>.</p>
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</div>
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""", unsafe_allow_html=True)
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with st.form("start_form"):
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category_input = st.text_input("Enter category (person / place / object):").strip().lower()
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if st.form_submit_button("Start Game"):
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if not category_input:
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st.error("Please enter a category!")
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elif category_input not in ["person", "place", "object"]:
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st.error("Please enter either 'person', 'place', or 'object'!")
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else:
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st.session_state.category = category_input
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# Generate first question
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first_question = ask_llama([{
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"role": "user",
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"content": "Ask your first yes/no question."
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}], category_input)
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st.session_state.questions = [first_question]
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st.session_state.conversation_history = [
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{"role": "assistant", "content": first_question}
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]
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st.session_state.game_state = "gameplay"
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st.rerun()
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# Gameplay screen
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elif st.session_state.game_state == "gameplay":
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current_question = st.session_state.questions[st.session_state.current_q]
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st.markdown(f'<div class="question-box">Question {st.session_state.current_q + 1}/20:<br><br>'
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f'<strong>{current_question}</strong></div>',
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unsafe_allow_html=True)
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with st.form("answer_form"):
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answer_input = st.text_input("Your answer (yes/no):", key=f"answer_{st.session_state.current_q}").strip().lower()
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if st.form_submit_button("Submit"):
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if answer_input not in ["yes", "no"]:
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st.error("Please answer with 'yes' or 'no'!")
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else:
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# Record answer
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st.session_state.answers.append(answer_input)
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st.session_state.conversation_history.append(
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{"role": "user", "content": answer_input}
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)
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# Check if we've reached max questions
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if st.session_state.current_q >= 19: # 0-based index
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st.session_state.game_state = "result"
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else:
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# Generate next question
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next_question = ask_llama(
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st.session_state.conversation_history,
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214 |
+
st.session_state.category
|
215 |
+
)
|
216 |
+
st.session_state.questions.append(next_question)
|
217 |
+
st.session_state.conversation_history.append(
|
218 |
+
{"role": "assistant", "content": next_question}
|
219 |
+
)
|
220 |
+
st.session_state.current_q += 1
|
221 |
|
222 |
+
st.rerun()
|
|
|
|
|
|
|
|
|
|
|
|
|
223 |
|
224 |
+
# Result screen
|
225 |
+
elif st.session_state.game_state == "result":
|
226 |
+
# Generate final guess
|
227 |
+
final_guess = ask_llama(
|
228 |
+
st.session_state.conversation_history + [
|
229 |
+
{"role": "user", "content": "Based on all my answers, what is your final guess? Just state the guess directly."}
|
230 |
+
],
|
231 |
+
st.session_state.category
|
232 |
+
)
|
233 |
+
|
234 |
+
show_confetti()
|
235 |
+
st.markdown('<div class="final-reveal">🎉 I think it\'s...</div>', unsafe_allow_html=True)
|
236 |
+
time.sleep(1)
|
237 |
+
st.markdown(f'<div class="final-reveal" style="font-size:3.5rem;color:#6C63FF;">{final_guess}</div>',
|
238 |
+
unsafe_allow_html=True)
|
239 |
+
|
240 |
+
if st.button("Play Again", key="play_again"):
|
241 |
st.session_state.clear()
|
242 |
st.rerun()
|
243 |
|