Update app.py

app.py

@@ -40,23 +40,17 @@ st.sidebar.write("Base-Model used: Meta Llama, trained using: Docker AutoTrain."
 # Add technical details in the sidebar
 st.sidebar.markdown(model_info["Meta-Llama-3-8B"]['description'])
 st.sidebar.markdown("""
-### Meta-Llama 3 (8B)
-Yo, this **Meta-Llama 3 (8B)** is a next-level AI model built by Meta's genius squad. It packs a whopping **8 billion parameters** and is totally fine-tuned for school stuff, especially science Q&As.
+### Zephyr 7B β 🤖
+Your personal science assistant, built with **7 billion parameters** to help with all your science Q&As.
 
-### How it’s Trained:
-We fed it all the juicy info from **NCERT science textbooks** (yep, the same ones you use), covering Physics, Chem, Bio, and more. With **Docker AutoTrain**, we made sure it learns fast and scales like a boss.
+- **Trained for Science**: From Physics to Bio, it’s got you covered!
+- **Quick & Smart**: Handles easy to tough topics like a pro.
+- **Accurate**: Reliable answers every time.
 
-### What it Does:
-This Llama’s mission? Make science super easy. Whether you're stuck on a tricky topic or just need a quick answer, it’s here to help you (and your teacher) break things down like a pro.
-
-### Cool Stuff:
-- **Knows Its Stuff**: It's laser-focused on science questions, so no random answers.
-- **Super Smart**: Whether it's easy or advanced, it’s got you covered.
-- **Trustworthy**: It's trained to get things right, so you can count on its answers.
-
-Basically, it's like having a personal science tutor right in your pocket.
+Need help with science? Zephyr’s got your back! 🔬📘
 """)
 
+
 st.sidebar.markdown("By Gokulnath ♔")
 
 # If model selection was needed (now removed)