Create app.py

app.py

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+import streamlit as st
+from google import genai
+from prompts import SYSTEM_INSTRUCTION, USER_PROMPT_TEMPLATE
+
+st.set_page_config(page_title="SQL AI Assistant", layout="wide")
+
+# 1. Setup Sidebar for Context
+st.sidebar.title("🛠️ Database Context")
+dialect = st.sidebar.selectbox("SQL Dialect", ["PostgreSQL", "MySQL", "SQLite", "BigQuery", "Snowflake"])
+db_name = st.sidebar.text_input("Database Name", placeholder="e.g. production_db")
+schema = st.sidebar.text_area("Table Schemas (DDL)", placeholder="CREATE TABLE users (id INT, name TEXT...)", height=300)
+
+st.title("🤖 Gemini SQL Generator")
+st.caption(f"Powered by Gemini 2.5 Flash")
+
+# 2. Initialize Gemini Client
+# In HF Spaces, go to Settings -> Secrets and add 'GEMINI_API_KEY'
+api_key = st.secrets["GEMINI_API_KEY"]
+client = genai.Client(api_key=api_key)
+
+# 3. Chat Interface
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+for msg in st.session_state.messages:
+    st.chat_message(msg["role"]).write(msg["content"])
+
+if prompt := st.chat_input("Show me the top 10 users by signup date..."):
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    st.chat_message("user").write(prompt)
+
+    # Build the full system instructions with current sidebar context
+    full_system_msg = SYSTEM_INSTRUCTION.format(
+        dialect=dialect, 
+        db_name=db_name, 
+        schema=schema if schema else "No specific schema provided."
+    )
+
+    with st.spinner("Generating SQL..."):
+        response = client.models.generate_content(
+            model="gemini-2.5-flash",
+            config={'system_instruction': full_system_msg},
+            contents=USER_PROMPT_TEMPLATE.format(user_input=prompt)
+        )
+        
+        sql_output = response.text
+        st.session_state.messages.append({"role": "assistant", "content": sql_output})
+        st.chat_message("assistant").code(sql_output, language="sql")