app.py

import streamlit as st
import google.generativeai as genai

# -------------------
# API Key Setup
# -------------------
gemini_api_key = st.secrets.get("GEN_API_KEY", "")

# -------------------
# Page Configuration
# -------------------
st.set_page_config(page_title="Academic Tutor AI", layout="wide")
st.title("📚 Academic Tutor AI")
st.write("Ask questions about your courses and get clear explanations, examples, and study tips.")

# -------------------
# Gemini Setup
# -------------------
if not gemini_api_key:
    st.error("⚠️ Please set your 'GEN_API_KEY' in Streamlit secrets.")
    st.stop()

genai.configure(api_key=gemini_api_key)

# Fetch available Gemini models
available_models = [
    m.name for m in genai.list_models()
    if "generateContent" in m.supported_generation_methods
]

if not available_models:
    st.error("⚠️ No Gemini models available for your API key.")
    st.stop()

# Reset session if old model is invalid
if "model" in st.session_state and st.session_state["model"] not in available_models:
    del st.session_state["model"]

model = st.sidebar.selectbox("Model", available_models, index=0,
    help ="Choose which AI model to use. Most users can keep the default model.")

# Initialize Gemini chat if needed
if "gemini_chat" not in st.session_state or st.session_state.get("model") != model:
    st.session_state.model = model
    try:
        gemini_model = genai.GenerativeModel(model)
        st.session_state.gemini_chat = gemini_model.start_chat(history=[])
    except Exception as e:
        st.error(f"⚠️ Could not initialize Gemini model: {e}")
        st.stop()

# -------------------
# System Prompt for Academic Tutor
# -------------------
system_prompt = st.sidebar.text_area(
    "System Prompt",
    "You are a friendly academic tutor for college students. Provide clear explanations, examples, and study tips. Encourage understanding rather than just giving answers.",
    help = "This defines how the AI behaves. You can customize it if you want the AI to act differently."
    )


# -------------------
# Chat History State
# -------------------
if "messages" not in st.session_state:
    st.session_state.messages = []

# Reset conversation button
if st.sidebar.button("Reset Conversation"):
    st.session_state.messages = []
    gemini_model = genai.GenerativeModel(model)
    st.session_state.gemini_chat = gemini_model.start_chat(history=[])
    st.experimental_rerun()

# -------------------
# Display Chat Messages
# -------------------
for msg in st.session_state.messages:
    with st.chat_message(msg["role"]):
        st.markdown(msg["content"])

# -------------------
# User Input
# -------------------
user_input = st.chat_input("Type your academic question here (e.g., 'Explain Bayes' Theorem with an example.')")

if user_input:
    # Show user message
    st.chat_message("user").markdown(user_input)
    st.session_state.messages.append({"role": "user", "content": user_input})

    try:
        with st.spinner("🤔 Thinking..."):
            # Prepend system prompt for context
            full_input = f"{system_prompt}\n\nUser: {user_input}"
            resp = st.session_state.gemini_chat.send_message(full_input)
            bot_text = resp.text
    except Exception as e:
        bot_text = f"⚠️ Gemini could not respond right now. Please try again. ({e})"

    with st.chat_message("assistant"):
        st.markdown(bot_text)

    st.session_state.messages.append({"role": "assistant", "content": bot_text})
    st.experimental_rerun()