Update app.py

app.py

@@ -18,11 +18,12 @@ model_links = {
 
 # Pull info about the model to display
 model_info = {
-    "Meta-Llama-3-8B": {
-        'description': """The **Meta-Llama 3 (8B)** is a cutting-edge **Large Language Model (LLM)** developed by Meta's AI team, comprising over 8 billion parameters. This model has been specifically fine-tuned for educational purposes to excel in interactive question-and-answer sessions.\n"""
+    "Zephyr-7B-β": {
+        'description': """The **Zephyr 7B β** is a next-gen **GPT-like Large Language Model (LLM)** fine-tuned from Mistral-7B-v0.1, containing 7 billion parameters. This model is optimized for educational tasks and excels at science-related Q&A with high accuracy and performance.\n"""
     }
 }
 
+
 # Reset the conversation
 def reset_conversation():
     st.session_state.conversation = []
@@ -35,10 +36,10 @@ st.subheader("AI chatbot for Solving your doubts 📚 :)")
 
 # Custom description for SciMom in the sidebar
 st.sidebar.write("Built for my mom, with love ❤️. This model is pretrained with textbooks of Science NCERT.")
-st.sidebar.write("Base-Model used: Meta Llama, trained using: Docker AutoTrain.")
+st.sidebar.write("Base-Model used: Mistral-7B \n, Fine-Tuned : HF/Zephyr-7B-Beta,\n trained using: Docker AutoTrain.")
 
 # Add technical details in the sidebar
-st.sidebar.markdown(model_info["Meta-Llama-3-8B"]['description'])
+st.sidebar.markdown(model_info["Zephyr-7B-β"]['description'])
 st.sidebar.markdown("""
 ### Zephyr 7B β 🤖
 Your personal science assistant, built with **7 billion parameters** to help with all your science Q&As.