Create app.py

app.py

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+import streamlit as st
+import google.genai as genai
+import os
+
+# --- PAGE CONFIG ---
+st.set_page_config(page_title="AI Study Helper", page_icon="📚")
+
+# --- API CONFIGURATION ---
+# On Hugging Face Spaces, set 'GEMINI_API_KEY' in the 'Secrets' section of settings
+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()
+
+genai.configure(api_key=api_key)
+model = genai.GenerativeModel("gemini-3-flash-preview")
+
+# --- PERSONA DEFINITIONS ---
+PERSONAS = {
+    "Teacher 🍎": {
+        "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 💡": {
+        "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 ⚖️": {
+        "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("📚 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"):
+        # Combine persona system prompt with the user query
+        full_prompt = f"System: {PERSONAS[selected_persona]}\n\nUser: {prompt}"
+        
+        try:
+            response = model.generate_content(full_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}")