Create app.py

app.py

@@ -0,0 +1,500 @@
+import streamlit as st
+import time
+import requests
+from streamlit.components.v1 import html
+import os
+from dotenv import load_dotenv
+
+# Import transformers and cache the help agent for performance
+@st.cache_resource
+def get_help_agent():
+    from transformers import pipeline
+    # Using BlenderBot 400M Distill as the public conversational model (used elsewhere)
+    return pipeline("conversational", model="facebook/blenderbot-400M-distill")
+
+# Enhanced Custom CSS with modern design
+def inject_custom_css():
+    st.markdown("""
+    <style>
+        @import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap');
+        @import url('https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css');
+
+        * {
+            font-family: 'Inter', sans-serif;
+        }
+
+        body {
+            background: linear-gradient(135deg, #f8f9fa 0%, #e9ecef 100%);
+        }
+
+        .title {
+            font-size: 2.8rem !important;
+            font-weight: 800 !important;
+            background: linear-gradient(45deg, #6C63FF, #3B82F6);
+            -webkit-background-clip: text;
+            -webkit-text-fill-color: transparent;
+            text-align: center;
+            margin: 1rem 0;
+            letter-spacing: -1px;
+        }
+
+        .subtitle {
+            font-size: 1.1rem !important;
+            text-align: center;
+            color: #64748B !important;
+            margin-bottom: 2.5rem;
+            animation: fadeInSlide 1s ease;
+        }
+
+        .question-box {
+            background: white;
+            border-radius: 20px;
+            padding: 2rem;
+            margin: 1.5rem 0;
+            box-shadow: 0 10px 25px rgba(0,0,0,0.08);
+            border: 1px solid #e2e8f0;
+            position: relative;
+            transition: transform 0.2s ease;
+            color: black;
+        }
+
+        .question-box:hover {
+            transform: translateY(-3px);
+        }
+
+        .question-box::before {
+            content: "🕹️";
+            position: absolute;
+            left: -15px;
+            top: -15px;
+            background: white;
+            border-radius: 50%;
+            padding: 8px;
+            box-shadow: 0 4px 6px rgba(0,0,0,0.1);
+            font-size: 1.2rem;
+        }
+
+        .input-box {
+            background: white;
+            border-radius: 12px;
+            padding: 1.5rem;
+            margin: 1rem 0;
+            box-shadow: 0 4px 6px rgba(0,0,0,0.05);
+        }
+
+        .stTextInput input {
+            border: 2px solid #e2e8f0 !important;
+            border-radius: 10px !important;
+            padding: 12px 16px !important;
+            transition: all 0.3s ease !important;
+        }
+
+        .stTextInput input:focus {
+            border-color: #6C63FF !important;
+            box-shadow: 0 0 0 3px rgba(108, 99, 255, 0.2) !important;
+        }
+
+        button {
+            background: linear-gradient(45deg, #6C63FF, #3B82F6) !important;
+            color: white !important;
+            border: none !important;
+            border-radius: 10px !important;
+            padding: 12px 24px !important;
+            font-weight: 600 !important;
+            transition: all 0.3s ease !important;
+        }
+
+        button:hover {
+            transform: translateY(-2px);
+            box-shadow: 0 5px 15px rgba(108, 99, 255, 0.3) !important;
+        }
+
+        .final-reveal {
+            animation: fadeInUp 1s ease;
+            font-size: 2.8rem;
+            background: linear-gradient(45deg, #6C63FF, #3B82F6);
+            -webkit-background-clip: text;
+            -webkit-text-fill-color: transparent;
+            text-align: center;
+            margin: 2rem 0;
+            font-weight: 800;
+        }
+
+        .help-chat {
+            background: rgba(255,255,255,0.9);
+            backdrop-filter: blur(10px);
+            border-radius: 15px;
+            padding: 1rem;
+            margin: 1rem 0;
+            box-shadow: 0 8px 30px rgba(0,0,0,0.12);
+        }
+
+        @keyframes fadeInSlide {
+            0% { opacity: 0; transform: translateY(20px); }
+            100% { opacity: 1; transform: translateY(0); }
+        }
+
+        @keyframes fadeInUp {
+            0% { opacity: 0; transform: translateY(30px); }
+            100% { opacity: 1; transform: translateY(0); }
+        }
+
+        .progress-bar {
+            height: 6px;
+            background: #e2e8f0;
+            border-radius: 3px;
+            margin: 1.5rem 0;
+            overflow: hidden;
+        }
+
+        .progress-fill {
+            height: 100%;
+            background: linear-gradient(90deg, #6C63FF, #3B82F6);
+            transition: width 0.5s ease;
+        }
+
+        .question-count {
+            color: #6C63FF;
+            font-weight: 600;
+            font-size: 0.9rem;
+            margin-bottom: 0.5rem;
+        }
+    </style>
+    """, unsafe_allow_html=True)
+
+# Confetti animation (enhanced)
+def show_confetti():
+    html("""
+    <canvas id="confetti-canvas" class="confetti"></canvas>
+    <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/confetti.browser.min.js"></script>
+    <script>
+    const count = 200;
+    const defaults = {
+        origin: { y: 0.7 },
+        zIndex: 1050
+    };
+
+    function fire(particleRatio, opts) {
+        confetti(Object.assign({}, defaults, opts, {
+            particleCount: Math.floor(count * particleRatio)
+        }));
+    }
+
+    fire(0.25, { spread: 26, startVelocity: 55 });
+    fire(0.2, { spread: 60 });
+    fire(0.35, { spread: 100, decay: 0.91, scalar: 0.8 });
+    fire(0.1, { spread: 120, startVelocity: 25, decay: 0.92, scalar: 1.2 });
+    fire(0.1, { spread: 120, startVelocity: 45 });
+    </script>
+    """)
+
+# Enhanced AI question generation for guessing game using Llama model
+def ask_llama(conversation_history, category, is_final_guess=False):
+    api_url = "https://api.groq.com/openai/v1/chat/completions"
+    headers = {
+        "Authorization": "Bearer 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",
+        "Content-Type": "application/json"
+    }
+
+    system_prompt = f"""You're playing 20 questions to guess a {category}. Follow these rules:
+1. Ask strategic, non-repeating yes/no questions that narrow down possibilities
+2. Consider all previous answers carefully before asking next question
+3. If you're very confident (80%+ sure), respond with "Final Guess: [your guess]"
+4. For places: ask about continent, climate, famous landmarks, country, city or population
+5. For people: ask about fictional or real, profession, gender, alive/dead, nationality, or fame
+6. For objects: ask about size, color, usage, material, or where it's found
+7. Never repeat questions and always make progress toward guessing"""
+
+    if is_final_guess:
+        prompt = f"""Based on these answers about a {category}, provide ONLY your final guess with no extra text:
+{conversation_history}"""
+    else:
+        prompt = "Ask your next strategic yes/no question that will best narrow down the possibilities."
+
+    messages = [
+        {"role": "system", "content": system_prompt},
+        *conversation_history,
+        {"role": "user", "content": prompt}
+    ]
+
+    data = {
+        "model": "llama-3.3-70b-versatile",
+        "messages": messages,
+        "temperature": 0.7 if is_final_guess else 0.8,
+        "max_tokens": 100
+    }
+
+    try:
+        response = requests.post(api_url, headers=headers, json=data)
+        response.raise_for_status()
+        return response.json()["choices"][0]["message"]["content"]
+    except Exception as e:
+        st.error(f"Error calling Llama API: {str(e)}")
+        return "Could not generate question"
+
+# New function for the help AI assistant using the Hugging Face InferenceClient
+MISTRAL_API_KEY = "wm5eLl09b9I9cOxR3E9n5rrRr1CRQQjn"
+def ask_help_agent(query):
+    try:
+        # Prepare Mistral API request
+        url = "https://api.mistral.ai/v1/chat/completions"
+        headers = {
+            "Authorization": f"Bearer {MISTRAL_API_KEY}",
+            "Content-Type": "application/json"
+        }
+
+        system_message = "You are a friendly Chatbot."
+
+        # Build message history
+        messages = [{"role": "system", "content": system_message}]
+        if "help_conversation" in st.session_state:
+            for msg in st.session_state.help_conversation:
+                if msg.get("query"):
+                    messages.append({"role": "user", "content": msg["query"]})
+                if msg.get("response"):
+                    messages.append({"role": "assistant", "content": msg["response"]})
+
+        # Add current user query
+        messages.append({"role": "user", "content": query})
+
+        # API payload
+        payload = {
+            "model": "mistral-tiny",
+            "messages": messages,
+            "temperature": 0.7,
+            "top_p": 0.95
+        }
+
+        # Send POST request
+        response = requests.post(url, headers=headers, json=payload)
+
+        if response.status_code == 200:
+            result = response.json()
+            return result["choices"][0]["message"]["content"]
+        else:
+            return f"API Error {response.status_code}: {response.text}"
+
+    except Exception as e:
+        return f"Error in help agent: {str(e)}"
+
+
+# Main game logic with enhanced UI
+def main():
+    inject_custom_css()
+
+    st.markdown('<div class="title">KASOTI</div>', unsafe_allow_html=True)
+    st.markdown('<div class="subtitle">AI-Powered Guessing Game Challenge</div>', unsafe_allow_html=True)
+
+    if 'game_state' not in st.session_state:
+        st.session_state.game_state = "start"
+        st.session_state.questions = []
+        st.session_state.current_q = 0
+        st.session_state.answers = []
+        st.session_state.conversation_history = []
+        st.session_state.category = None
+        st.session_state.final_guess = None
+        st.session_state.help_conversation = []  # separate history for help agent
+
+    # Start screen with enhanced layout
+    if st.session_state.game_state == "start":
+        with st.container():
+            st.markdown("""
+            <div class="question-box">
+                <h3 style="color: #6C63FF; margin-bottom: 1.5rem;">🎮 Welcome to KASOTI</h3>
+                <p style="line-height: 1.6; color: #64748B;">
+                    Think of something and I'll try to guess it in 20 questions or less!<br>
+                    Choose from these categories:
+                </p>
+                <div style="display: grid; gap: 1rem; margin: 2rem 0;">
+                    <div style="padding: 1.5rem; background: #f8f9fa; border-radius: 12px;">
+                        <h4 style="margin: 0; color: #6C63FF;">🧑 Person</h4>
+                        <p style="margin: 0.5rem 0 0; color: #64748B;">Celebrity, fictional character, historical figure</p>
+                    </div>
+                    <div style="padding: 1.5rem; background: #f8f9fa; border-radius: 12px;">
+                        <h4 style="margin: 0; color: #6C63FF;">🌍 Place</h4>
+                        <p style="margin: 0.5rem 0 0; color: #64748B;">City, country, landmark, geographical location</p>
+                    </div>
+                    <div style="padding: 1.5rem; background: #f8f9fa; border-radius: 12px;">
+                        <h4 style="margin: 0; color: #6C63FF;">🎯 Object</h4>
+                        <p style="margin: 0.5rem 0 0; color: #64748B;">Everyday item, tool, vehicle, or concept</p>
+                    </div>
+                </div>
+            </div>
+            """, unsafe_allow_html=True)
+
+        with st.form("start_form"):
+            category_input = st.text_input("Enter category (person/place/object):").strip().lower()
+            if st.form_submit_button("Start Game"):
+                if not category_input:
+                    st.error("Please enter a category!")
+                elif category_input not in ["person", "place", "object"]:
+                    st.error("Please enter either 'person', 'place', or 'object'!")
+                else:
+                    st.session_state.category = category_input
+                    first_question = ask_llama([
+                        {"role": "user", "content": "Ask your first strategic yes/no question."}
+                    ], category_input)
+                    st.session_state.questions = [first_question]
+                    st.session_state.conversation_history = [
+                        {"role": "assistant", "content": first_question}
+                    ]
+                    st.session_state.game_state = "gameplay"
+                    st.experimental_rerun()
+
+    # Gameplay screen with progress bar
+    elif st.session_state.game_state == "gameplay":
+        with st.container():
+            # Add progress bar
+            progress = (st.session_state.current_q + 1) / 20
+            st.markdown(f"""
+            <div class="question-count">QUESTION {st.session_state.current_q + 1} OF 20</div>
+            <div class="progress-bar">
+                <div class="progress-fill" style="width: {progress * 100}%"></div>
+            </div>
+            """, unsafe_allow_html=True)
+
+            current_question = st.session_state.questions[st.session_state.current_q]
+
+            # Enhanced question box
+            st.markdown(f'''
+            <div class="question-box">
+                <div style="display: flex; align-items: center; gap: 1rem; margin-bottom: 1.5rem;">
+                    <div style="background: #6C63FF; width: 40px; height: 40px; border-radius: 50%;
+                            display: flex; align-items: center; justify-content: center; color: white;">
+                        <i class="fas fa-robot"></i>
+                    </div>
+                    <h3 style="margin: 0; color: #1E293B;">AI Question</h3>
+                </div>
+                <p style="font-size: 1.1rem; line-height: 1.6; color: #1E293B;">{current_question}</p>
+            </div>
+            ''', unsafe_allow_html=True)
+
+        # Check if AI made a guess
+        if "Final Guess:" in current_question:
+            st.session_state.final_guess = current_question.split("Final Guess:")[1].strip()
+            st.session_state.game_state = "confirm_guess"
+            st.experimental_rerun()
+
+        with st.form("answer_form"):
+            answer_input = st.text_input("Your answer (yes/no/both):",
+                                       key=f"answer_{st.session_state.current_q}").strip().lower()
+            if st.form_submit_button("Submit"):
+                if answer_input not in ["yes", "no", "both"]:
+                    st.error("Please answer with 'yes', 'no', or 'both'!")
+                else:
+                    st.session_state.answers.append(answer_input)
+                    st.session_state.conversation_history.append(
+                        {"role": "user", "content": answer_input}
+                    )
+
+                    # Generate next response
+                    next_response = ask_llama(
+                        st.session_state.conversation_history,
+                        st.session_state.category
+                    )
+
+                    # Check if AI made a guess
+                    if "Final Guess:" in next_response:
+                        st.session_state.final_guess = next_response.split("Final Guess:")[1].strip()
+                        st.session_state.game_state = "confirm_guess"
+                    else:
+                        st.session_state.questions.append(next_response)
+                        st.session_state.conversation_history.append(
+                            {"role": "assistant", "content": next_response}
+                        )
+                        st.session_state.current_q += 1
+
+                        # Stop after 20 questions max
+                        if st.session_state.current_q >= 20:
+                            st.session_state.game_state = "result"
+
+                    st.experimental_rerun()
+
+        # Side Help Option: independent chat with an AI help assistant using Hugging Face model
+        with st.expander("Need Help? Chat with AI Assistant"):
+            help_query = st.text_input("Enter your help query:", key="help_query")
+            if st.button("Send", key="send_help"):
+                if help_query:
+                    help_response = ask_help_agent(help_query)
+                    st.session_state.help_conversation.append({"query": help_query, "response": help_response})
+                else:
+                    st.error("Please enter a query!")
+            if st.session_state.help_conversation:
+                for msg in st.session_state.help_conversation:
+                    st.markdown(f"**You:** {msg['query']}")
+                    st.markdown(f"**Help Assistant:** {msg['response']}")
+
+    # Guess confirmation screen using text input response
+    elif st.session_state.game_state == "confirm_guess":
+        st.markdown(f'''
+        <div class="question-box">
+            <div style="display: flex; align-items: center; gap: 1rem; margin-bottom: 1.5rem;">
+                <div style="background: #6C63FF; width: 40px; height: 40px; border-radius: 50%;
+                        display: flex; align-items: center; justify-content: center; color: white;">
+                    <i class="fas fa-lightbulb"></i>
+                </div>
+                <h3 style="margin: 0; color: #1E293B;">AI's Final Guess</h3>
+            </div>
+            <p style="font-size: 1.2rem; line-height: 1.6; color: #1E293B;">
+                Is it <strong style="color: #6C63FF;">{st.session_state.final_guess}</strong>?
+            </p>
+        </div>
+        ''', unsafe_allow_html=True)
+
+        with st.form("confirm_form"):
+            confirm_input = st.text_input("Type your answer (yes/no/both):", key="confirm_input").strip().lower()
+            if st.form_submit_button("Submit"):
+                if confirm_input not in ["yes", "no", "both"]:
+                    st.error("Please answer with 'yes', 'no', or 'both'!")
+                else:
+                    if confirm_input == "yes":
+                        st.session_state.game_state = "result"
+                        st.experimental_rerun()
+                        st.stop()  # Immediately halt further execution
+                    else:
+                        # Add negative response to history and continue gameplay
+                        st.session_state.conversation_history.append(
+                            {"role": "user", "content": "no"}
+                        )
+                        st.session_state.game_state = "gameplay"
+                        next_response = ask_llama(
+                            st.session_state.conversation_history,
+                            st.session_state.category
+                        )
+                        st.session_state.questions.append(next_response)
+                        st.session_state.conversation_history.append(
+                            {"role": "assistant", "content": next_response}
+                        )
+                        st.session_state.current_q += 1
+                        st.experimental_rerun()
+
+    # Result screen with enhanced celebration
+    elif st.session_state.game_state == "result":
+        if not st.session_state.final_guess:
+            # Generate final guess if not already made
+            qa_history = "\n".join(
+                [f"Q{i+1}: {q}\nA: {a}"
+                 for i, (q, a) in enumerate(zip(st.session_state.questions, st.session_state.answers))]
+            )
+
+            final_guess = ask_llama(
+                [{"role": "user", "content": qa_history}],
+                st.session_state.category,
+                is_final_guess=True
+            )
+            st.session_state.final_guess = final_guess.split("Final Guess:")[-1].strip()
+
+        show_confetti()
+        st.markdown(f'<div class="final-reveal">🎉 It\'s...</div>', unsafe_allow_html=True)
+        time.sleep(1)
+        st.markdown(f'<div class="final-reveal" style="font-size:3.5rem;color:#6C63FF;">{st.session_state.final_guess}</div>',
+                    unsafe_allow_html=True)
+        st.markdown(f"<p style='text-align:center; color:#64748B;'>Guessed in {len(st.session_state.questions)} questions</p>",
+                    unsafe_allow_html=True)
+
+        if st.button("Play Again", key="play_again"):
+            st.session_state.clear()
+            st.experimental_rerun()
+
+if __name__ == "__main__":
+    main()