fixed mem_LORA's formula

src/app.py

@@ -116,7 +116,7 @@ with col.expander("Information", expanded=True):
     
     st.latex(r"""\text{Memory}_\text{Inference} \approx \text{Model Size} \times 1.2""")
     st.markdown("""- For LoRa Fine-tuning, I'm asuming a **16-bit** dtype of trainable parameters. The formula (in terms of GB) is""")
-    st.latex(r"\text{Memory}_\text{LoRa} \approx \text{Model Size} + \left(\text{ \# trainable Params}_\text{Billions}\times\frac{16}{8} \times 4\right) \times 1.2")
+    st.latex(r"\text{Memory}_\text{LoRa} \approx \left(\text{Model Size} + \text{ \# trainable Params}_\text{Billions}\times\frac{16}{8} \times 4\right) \times 1.2")
 
 access_token = st.sidebar.text_input("Access token")