feat: add example

app.py

@@ -13,6 +13,28 @@ filename = "Qwen2.5-Coder-7B-Instruct-Q4_K_M.gguf"
 llm = load_llm(repo_id, filename)
 
 st.title("CSV TO SQL")
+st.write("To start, Upload your CSV below 👇")
+if st.button("Example prompt"):
+    st.session_state.db_name = "sales"
+    st.session_state.table_name = "sales"
+    csv_to_sqlite("./data/sales.csv", "sales", "sales")
+
+    prompt = "What is the sum, count and average sales?"
+
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    response_sql = response_generator(
+        db_name=st.session_state.db_name,
+        table_name=st.session_state.table_name,
+        llm=llm,
+        messages=st.session_state.messages,
+        question=prompt,
+    )
+    result = run_sql_query(db_name=st.session_state.db_name, query=response_sql)
+    st.session_state.messages.append({"role": "assistant", "content": response_sql})
+    st.session_state.messages.append(
+        {"role": "assistant", "content": str(result), "result": result}
+    )
+
 
 with st.expander("Upload CSV"):
     csv_file = st.file_uploader(
@@ -37,7 +59,10 @@ if "messages" not in st.session_state:
 # Display chat messages from history on app rerun
 for message in st.session_state.messages:
     with st.chat_message(message["role"]):
-        st.markdown(message["content"])
+        if "content" in message:
+            st.markdown(message["content"])
+        if "result" in message:
+            st.dataframe(message["result"])
 
 # Accept user input
 if prompt := st.chat_input(