2nd commit

app.py

@@ -31,40 +31,6 @@ with st.expander("Instructions"):
         ## Introduction 📖
 
         This demo showcases how to interact with Large Language Models (LLMs) on Hugging Face using Streamlit. 
-
-        ## Setup 🛠️
-
-        1. Install Requirements: 
-
-        - Streamlit: `pip install streamlit`
-        - Hugging Face Transformers: `pip install transformers`
-
-        ## Running the Demo 🚀
-
-        1. Clone the repository: `git clone <repo-url>`
-        2. Navigate to the project directory: `cd <project-directory>`
-        3. Run Streamlit: `streamlit run app.py`
-
-        ## Features 🌈
-
-        - **Text Input** 📝: Enter your query in the text box.
-        - **Model Selection** 🤖: Choose an LLM from a dropdown menu.
-        - **Submit Button** ✅: Click to submit your query to the model.
-        - **Responses** 💬: View the model's responses in real-time.
-
-        ## Contributing 🤝
-
-        Feel free to fork the repository, make changes, and submit pull requests!
-
-        ## License 📜
-
-        This project is licensed under the MIT License.
-
-        ## Contact 📬
-
-        For any queries, contact us at `email@example.com`.
-
-        ## Happy Coding! 🎉
         """
     )