Update app.py

app.py

@@ -3,93 +3,27 @@ import time
 import requests
 from streamlit.components.v1 import html
 
-# Import transformers and cache the help agent for performance
+# Cache the help agent
 @st.cache_resource
 def get_help_agent():
     from transformers import pipeline
-    # Using BlenderBot 400M Distill as the public conversational model
     return pipeline("conversational", model="facebook/blenderbot-400M-distill")
 
-# Custom CSS for professional look
+# Custom CSS
 def inject_custom_css():
     st.markdown("""
     <style>
         @import url('https://fonts.googleapis.com/css2?family=Poppins:wght@400;600;700&display=swap');
-
-        * {
-            font-family: 'Poppins', sans-serif;
-        }
-
-        .title {
-            font-size: 3rem !important;
-            font-weight: 700 !important;
-            color: #6C63FF !important;
-            text-align: center;
-            margin-bottom: 0.5rem;
-        }
-
-        .subtitle {
-            font-size: 1.2rem !important;
-            text-align: center;
-            color: #666 !important;
-            margin-bottom: 2rem;
-        }
-
-        .question-box {
-            background: #F8F9FA;
-            border-radius: 15px;
-            padding: 2rem;
-            margin: 1.5rem 0;
-            box-shadow: 0 4px 6px rgba(0,0,0,0.1);
-            color: black;
-        }
-
-        .answer-btn {
-            border-radius: 12px !important;
-            padding: 0.5rem 1.5rem !important;
-            font-weight: 600 !important;
-            margin: 0.5rem !important;
-        }
-
-        .yes-btn {
-            background: #6C63FF !important;
-            color: white !important;
-        }
-
-        .no-btn {
-            background: #FF6B6B !important;
-            color: white !important;
-        }
-
-        .final-reveal {
-            animation: fadeIn 2s;
-            font-size: 2.5rem;
-            color: #6C63FF;
-            text-align: center;
-            margin: 2rem 0;
-        }
-
-        @keyframes fadeIn {
-            from { opacity: 0; }
-            to { opacity: 1; }
-        }
-
-        .confetti {
-            position: fixed;
-            top: 0;
-            left: 0;
-            width: 100%;
-            height: 100%;
-            pointer-events: none;
-            z-index: 1000;
-        }
-        
-        .confidence-meter {
-            height: 10px;
-            background: linear-gradient(90deg, #FF6B6B 0%, #6C63FF 100%);
-            border-radius: 5px;
-            margin: 10px 0;
-        }
+        * { font-family: 'Poppins', sans-serif; }
+        .title { font-size: 3rem !important; color: #6C63FF !important; text-align: center; }
+        .subtitle { font-size: 1.2rem !important; text-align: center; color: #666 !important; }
+        .question-box { background: #F8F9FA; border-radius: 15px; padding: 2rem; margin: 1.5rem 0; box-shadow: 0 4px 6px rgba(0,0,0,0.1); }
+        .answer-btn { border-radius: 12px !important; padding: 0.5rem 1.5rem !important; }
+        .yes-btn { background: #6C63FF !important; color: white !important; }
+        .no-btn { background: #FF6B6B !important; color: white !important; }
+        .final-reveal { animation: fadeIn 2s; font-size: 2.5rem; color: #6C63FF; text-align: center; margin: 2rem 0; }
+        @keyframes fadeIn { from { opacity: 0; } to { opacity: 1; } }
+        .confetti { position: fixed; top: 0; left: 0; width: 100%; height: 100%; pointer-events: none; z-index: 1000; }
     </style>
     """, unsafe_allow_html=True)
 
@@ -101,16 +35,12 @@ def show_confetti():
     <script>
     const canvas = document.getElementById('confetti-canvas');
     const confetti = confetti.create(canvas, { resize: true });
-    confetti({
-        particleCount: 150,
-        spread: 70,
-        origin: { y: 0.6 }
-    });
+    confetti({ particleCount: 150, spread: 70, origin: { y: 0.6 } });
     setTimeout(() => { canvas.remove(); }, 5000);
     </script>
     """)
 
-# Enhanced AI question generation for guessing game using Llama model
+# Improved question generation
 def ask_llama(conversation_history, category, is_final_guess=False):
     api_url = "https://api.groq.com/openai/v1/chat/completions"
     headers = {
@@ -118,194 +48,171 @@ def ask_llama(conversation_history, category, is_final_guess=False):
         "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, or population
-5. For people: ask about 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."
+    system_prompt = f"""You're playing 20 questions to guess a {category}. Follow these STRICT rules:
+1. FIRST determine category specifics:
+   - Person: Start with real/fictional, alive/dead, gender, profession
+   - Place: Start with continent, urban/rural, famous landmarks
+   - Object: Start with purpose, size, material, location used
+2. Ask SPECIFIC yes/no questions that eliminate possibilities
+3. Only guess when 95% confident using "Final Guess: [answer]"
+4. After guessing, immediately stop and verify
+5. Never repeat questions
+6. For objects: ask about usage, parts, location, materials
+7. For people: clarify fictional status early
+8. For places: ask about geography early"""
 
     messages = [
         {"role": "system", "content": system_prompt},
         *conversation_history,
-        {"role": "user", "content": prompt}
+        {"role": "user", "content": "Ask your next question:" if not is_final_guess else "Make your final guess:"}
     ]
 
     data = {
         "model": "llama-3.3-70b-versatile",
         "messages": messages,
-        "temperature": 0.7 if is_final_guess else 0.8,
-        "max_tokens": 100
+        "temperature": 0.3 if is_final_guess else 0.7,
+        "max_tokens": 100,
+        "top_p": 0.9,
+        "frequency_penalty": 0.5
     }
 
     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)}")
+        st.error(f"API Error: {str(e)}")
         return "Could not generate question"
 
-# New function for the help AI assistant using a Hugging Face chatbot model
+# Help assistant
 def ask_help_agent(query):
     from transformers import Conversation
-    # Get the cached help agent (BlenderBot)
-    help_agent = get_help_agent()
-    conversation = Conversation(query)
-    result = help_agent(conversation)
-    # The generated response is stored in generated_responses list
-    return result.generated_responses[-1]
+    return get_help_agent()(Conversation(query)).generated_responses[-1]
 
-# Main game logic
+# Main app
 def main():
     inject_custom_css()
-
-    st.markdown('<div class="title">KASOTI</div>', unsafe_allow_html=True)
-    st.markdown('<div class="subtitle">The Smart Guessing Game</div>', unsafe_allow_html=True)
+    st.markdown('<div class="title">KASOTI</div><div class="subtitle">The Smart Guessing Game</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
+        st.session_state.update({
+            'game_state': "start",
+            'questions': [],
+            'current_q': 0,
+            'answers': [],
+            'conversation_history': [],
+            'category': None,
+            'final_guess': None,
+            'help_conversation': []
+        })
 
     # Start screen
     if st.session_state.game_state == "start":
         st.markdown("""
         <div class="question-box">
-            <h3>Welcome to <span style='color:#6C63FF;'>KASOTI 🎯</span></h3>
-            <p>Think of something and I'll try to guess it in 20 questions or less!</p>
-            <p>Choose a category:</p>
+            <h3>Welcome to KASOTI 🎯</h3>
+            <p>Think of something and I'll guess it in 20 questions or less!</p>
+            <p>Choose category:</p>
             <ul>
-                <li><strong>Person</strong> - celebrity, fictional character, historical figure</li>
-                <li><strong>Place</strong> - city, country, landmark, geographical location</li>
-                <li><strong>Object</strong> - everyday item, tool, vehicle, etc.</li>
+                <li><strong>Person</strong> - real or fictional</li>
+                <li><strong>Place</strong> - any geographical location</li>
+                <li><strong>Object</strong> - any physical item</li>
             </ul>
-            <p>Type your category below to begin:</p>
         </div>
         """, unsafe_allow_html=True)
 
         with st.form("start_form"):
-            category_input = st.text_input("Enter category (person/place/object):").strip().lower()
+            category = st.selectbox("Select category:", ["person", "place", "object"])
             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.rerun()
+                st.session_state.category = category
+                first_question = ask_llama([], category)
+                st.session_state.questions = [first_question]
+                st.session_state.conversation_history = [{"role": "assistant", "content": first_question}]
+                st.session_state.game_state = "gameplay"
+                st.rerun()
 
     # Gameplay screen
     elif st.session_state.game_state == "gameplay":
-        current_question = st.session_state.questions[st.session_state.current_q]
+        current_question = st.session_state.questions[-1]
         
-        # Check if AI made a guess
+        # Check for final guess
         if "Final Guess:" in current_question:
             st.session_state.final_guess = current_question.split("Final Guess:")[1].strip()
-            st.session_state.game_state = "result"
+            st.session_state.game_state = "confirm_guess"
             st.rerun()
-        
-        st.markdown(f'<div class="question-box">Question {st.session_state.current_q + 1}/20:<br><br>'
-                    f'<strong>{current_question}</strong></div>',
-                    unsafe_allow_html=True)
-        
-        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 = "result"
-                    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 8 questions if no guess yet
-                        if st.session_state.current_q >= 8:
-                            st.session_state.game_state = "result"
-                    
-                    st.rerun()
+        st.markdown(f'<div class="question-box">Question {st.session_state.current_q + 1}/20:<br><br><strong>{current_question}</strong></div>', unsafe_allow_html=True)
 
-        # Side Help Option: independent chat with an AI help assistant (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"):
+        with st.form("answer_form"):
+            answer = st.radio("Your answer:", ["Yes", "No", "Both"], horizontal=True)
+            if st.form_submit_button("Submit"):
+                detailed_answer = {
+                    "Yes": "Yes, that's correct.",
+                    "No": "No, that's not correct.",
+                    "Both": "It can be both depending on context."
+                }[answer]
+                
+                st.session_state.answers.append(details_answer)
+                st.session_state.conversation_history.append({"role": "user", "content": detailed_answer})
+
+                # Generate next question
+                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
+
+                # Max 20 questions
+                if st.session_state.current_q >= 19:
+                    st.session_state.game_state = "result"
+                st.rerun()
+
+        # Help section
+        with st.expander("💡 Need Help?"):
+            help_query = st.text_input("Ask the AI Assistant:")
+            if st.button("Send"):
                 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']}")
+                    st.session_state.help_conversation.append(f"You: {help_query}\nAssistant: {help_response}")
+                for msg in st.session_state.help_conversation[-3:]:
+                    st.markdown(f"`{msg}`")
+
+    # Guess confirmation screen
+    elif st.session_state.game_state == "confirm_guess":
+        st.markdown(f'<div class="question-box">🎯 My Final Guess:<br><br><strong>Is it {st.session_state.final_guess}?</strong></div>', unsafe_allow_html=True)
+        
+        col1, col2 = st.columns(2)
+        with col1:
+            if st.button("Yes! Correct!", key="correct", use_container_width=True):
+                st.session_state.game_state = "result"
+                st.rerun()
+        with col2:
+            if st.button("No, Keep Trying", key="wrong", use_container_width=True):
+                st.session_state.conversation_history.append({"role": "user", "content": "No, that's incorrect."})
+                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.session_state.game_state = "gameplay"
+                st.rerun()
 
     # Result screen
     elif st.session_state.game_state == "result":
-        if st.session_state.final_guess is None:
-            # 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))]
-            )
-            
-            st.session_state.final_guess = ask_llama(
-                [{"role": "user", "content": qa_history}],
+        if not st.session_state.final_guess:
+            final_guess = ask_llama(
+                [{"role": "user", "content": "\n".join([f"Q{i+1}: {q}\nA: {a}" for i, (q, a) in enumerate(zip(st.session_state.questions, st.session_state.answers))})],
                 st.session_state.category,
                 is_final_guess=True
             )
+            st.session_state.final_guess = final_guess.split("Final Guess:")[-1].strip()
 
         show_confetti()
-        st.markdown('<div class="final-reveal">🎉 My guess is...</div>', unsafe_allow_html=True)
+        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'>Guessed in {len(st.session_state.questions)} questions</p>", 
-                    unsafe_allow_html=True)
+        st.markdown(f'<div class="final-reveal" style="font-size:3.5rem;">{st.session_state.final_guess}</div>', unsafe_allow_html=True)
+        st.markdown(f"<p style='text-align:center'>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.rerun()
 
 if __name__ == "__main__":
-    main()
+    main()