Update app.py

app.py

@@ -63,4 +63,136 @@ def generate_follow_up(user_text):
         f"Given the user's question: '{user_text}', generate a single friendly follow-up question. "
         "Make it short, conversational, and natural—like a human would ask. "
         "Example: If the user asks 'What is a quark?', respond with something like "
-        "'Would
+        "'Would you like to learn about the six types of quarks?' "
+        "Do NOT include phrases like 'A natural follow-up question could be'."
+    )
+
+    hf = get_llm_hf_inference(max_new_tokens=32, temperature=0.7)
+    return hf.invoke(input=prompt_text).strip()
+
+def get_response(system_message, chat_history, user_text, max_new_tokens=256):
+    """
+    Generates HAL's response, making it more conversational and engaging.
+    """
+    sentiment = analyze_sentiment(user_text)
+    action = predict_action(user_text)
+
+    if action == "nasa_info":
+        nasa_url, nasa_title, nasa_explanation = get_nasa_apod()
+        response = f"**{nasa_title}**\n\n{nasa_explanation}"
+        chat_history.append({'role': 'user', 'content': user_text})
+        chat_history.append({'role': 'assistant', 'content': response})
+        
+        follow_up = generate_follow_up(user_text)
+        chat_history.append({'role': 'assistant', 'content': follow_up})
+        return response, follow_up, chat_history, nasa_url
+
+    hf = get_llm_hf_inference(max_new_tokens=max_new_tokens, temperature=0.9)
+
+    prompt = PromptTemplate.from_template(
+        (
+            "[INST] {system_message}"
+            "\nCurrent Conversation:\n{chat_history}\n\n"
+            "\nUser: {user_text}.\n [/INST]"
+            "\nAI: Keep responses conversational and engaging. Start with a friendly phrase like "
+            "'Certainly!', 'Of course!', or 'Great question!' before answering."
+            " Keep responses concise but engaging."
+            "\nHAL:"
+        )
+    )
+
+    chat = prompt | hf.bind(skip_prompt=True) | StrOutputParser(output_key='content')
+    response = chat.invoke(input=dict(system_message=system_message, user_text=user_text, chat_history=chat_history))
+    response = response.split("HAL:")[-1].strip()
+
+    chat_history.append({'role': 'user', 'content': user_text})
+    chat_history.append({'role': 'assistant', 'content': response})
+
+    follow_up = generate_follow_up(user_text)
+    chat_history.append({'role': 'assistant', 'content': follow_up})
+
+    return response, follow_up, chat_history, None
+
+# --- Chat UI ---
+st.title("🚀 HAL - Your NASA AI Assistant")
+st.markdown("🌌 *Ask me about space, NASA, and beyond!*")
+
+# Sidebar: Reset Chat
+if st.sidebar.button("Reset Chat"):
+    st.session_state.chat_history = [{"role": "assistant", "content": "Hello! How can I assist you today?"}]
+    st.session_state.response_ready = False
+    st.session_state.follow_up = ""
+    st.session_state.last_topic = ""
+    st.rerun()  
+
+# Custom Chat Styling
+st.markdown("""
+    <style>
+    .user-msg {
+        background-color: #0078D7;
+        color: white;
+        padding: 10px;
+        border-radius: 10px;
+        margin-bottom: 5px;
+        width: fit-content;
+        max-width: 80%;
+    }
+    .assistant-msg {
+        background-color: #333333;
+        color: white;
+        padding: 10px;
+        border-radius: 10px;
+        margin-bottom: 5px;
+        width: fit-content;
+        max-width: 80%;
+    }
+    .container {
+        display: flex;
+        flex-direction: column;
+        align-items: flex-start;
+    }
+    @media (max-width: 600px) {
+        .user-msg, .assistant-msg { font-size: 16px; max-width: 100%; }
+    }
+    </style>
+""", unsafe_allow_html=True)
+
+# --- Chat History Display (Ensures All Messages Are Visible) ---
+st.markdown("<div class='container'>", unsafe_allow_html=True)
+
+for message in st.session_state.chat_history:
+    if message["role"] == "user":
+        st.markdown(f"<div class='user-msg'><strong>You:</strong> {message['content']}</div>", unsafe_allow_html=True)
+    else:
+        st.markdown(f"<div class='assistant-msg'><strong>HAL:</strong> {message['content']}</div>", unsafe_allow_html=True)
+
+st.markdown("</div>", unsafe_allow_html=True)
+
+# --- Single Input Box for Both Initial and Follow-Up Messages ---
+user_input = st.chat_input("Type your message here...")  # Uses Enter to submit
+
+if user_input:
+    # Save user message in chat history
+    st.session_state.chat_history.append({'role': 'user', 'content': user_input})  
+
+    # Generate HAL's response
+    response, follow_up, st.session_state.chat_history, image_url = get_response(
+        system_message="You are a helpful AI assistant.",
+        user_text=user_input,
+        chat_history=st.session_state.chat_history
+    )
+
+    st.session_state.chat_history.append({'role': 'assistant', 'content': response})
+
+    st.markdown(f"<div class='assistant-msg'><strong>HAL:</strong> {response}</div>", unsafe_allow_html=True)
+
+    if image_url:
+        st.image(image_url, caption="NASA Image of the Day")
+
+    st.session_state.follow_up = follow_up
+    st.session_state.response_ready = True  # Enables follow-up response cycle
+
+if st.session_state.response_ready and st.session_state.follow_up:
+    st.session_state.chat_history.append({'role': 'assistant', 'content': st.session_state.follow_up})
+    st.markdown(f"<div class='assistant-msg'><strong>HAL:</strong> {st.session_state.follow_up}</div>", unsafe_allow_html=True)
+    st.session_state.response_ready = False