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| import streamlit as st | |
| from google import genai # Corrected import for the new SDK | |
| import os | |
| # --- PAGE CONFIG --- | |
| st.set_page_config(page_title="AI Study Helper", page_icon="π") | |
| # --- API CONFIGURATION --- | |
| api_key = os.getenv("GEMINI_API_KEY") | |
| if not api_key: | |
| st.error("API Key not found. Please set GEMINI_API_KEY in Hugging Face Secrets.") | |
| st.stop() | |
| # Initialize the new GenAI Client | |
| client = genai.Client(api_key=api_key) | |
| # --- PERSONA DEFINITIONS --- | |
| PERSONAS = { | |
| "Teacher π": { | |
| "system_prompt": "You are a strict Teacher. Your goal is to explain complex concepts in simple terms. Be concise and academic. Avoid giving answers directly; instead, guide the user to the solution.", | |
| "welcome": "Hello! I'm your Teacher. What topic shall we break down today?" | |
| }, | |
| "Peer Mentor π‘": { | |
| "system_prompt": "You are a friendly career mentor. Explain gently. Give simple real-world examples to explain concepts.", | |
| "welcome": "Hey there. I'm your Peer Mentor. Let's talk about your progress and how this fits into the bigger picture." | |
| }, | |
| "Critic βοΈ": { | |
| "system_prompt": "You are a harsh code reviewer. Point out flaws. Be strict with your words. Motivate the user by giving reality-check.", | |
| "welcome": "I am your Critic. Present your argument or concept, and I will find the weak points you need to fix." | |
| } | |
| } | |
| # --- UI LAYOUT --- | |
| st.title("π AI Study Helper") | |
| st.sidebar.title("Configuration") | |
| selected_persona = st.sidebar.selectbox("Choose your guide:", list(PERSONAS.keys())) | |
| st.sidebar.info(f"Current Persona: **{selected_persona}**") | |
| if st.sidebar.button("Clear Conversation"): | |
| st.session_state.messages = [] | |
| st.rerun() | |
| # --- CHAT LOGIC --- | |
| if "messages" not in st.session_state: | |
| st.session_state.messages = [] | |
| # Display chat history | |
| for message in st.session_state.messages: | |
| with st.chat_message(message["role"]): | |
| st.markdown(message["content"]) | |
| # User Input | |
| if prompt := st.chat_input("What are we studying today?"): | |
| st.session_state.messages.append({"role": "user", "content": prompt}) | |
| with st.chat_message("user"): | |
| st.markdown(prompt) | |
| # Generate Response | |
| with st.chat_message("assistant"): | |
| try: | |
| # New SDK syntax for generating content | |
| response = client.models.generate_content( | |
| model="gemini-2.0-flash", # Note: gemini-3 is current, but ensure model name is exact | |
| config=genai.types.GenerateContentConfig( | |
| system_instruction=PERSONAS[selected_persona]["system_prompt"] | |
| ), | |
| contents=prompt | |
| ) | |
| response_text = response.text | |
| st.markdown(response_text) | |
| st.session_state.messages.append({"role": "assistant", "content": response_text}) | |
| except Exception as e: | |
| st.error(f"Error: {e}") |