Update app.py

This code focuses on creating a user-friendly Streamlit app for your Hugging Face Space. Here's a breakdown of the key elements:

Title and Description: Introduce your project with a clear title and a concise description.
User Input Section: Provide a text input field with instructions for users to enter their data. Consider adding input validation or guidance if applicable.
Model Processing and Results: Simulate model processing with a progress indicator and display the output in a clear and informative way. Replace the placeholder output with your model's actual results.
Optional Sections: Enhance your app with visualizations, explanations, or additional functionalities using Streamlit's rich UI components.
Remember to replace the bracketed placeholders and comments with your specific project details and model logic. This code provides a solid foundation for building an interactive and informative Streamlit app for your Hugging Face Space.

app.py

@@ -1,3 +1,35 @@
-import gradio as gr
+import streamlit as st
 
-gr.load("models/WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0").launch()
+# Title and description
+st.title("WhiteRabbitNeo Llama 3 WhiteRabbitNeo 8B V2.0 🚀")
+st.write("This Space showcases WhiteRabbitNeo Llama 3 WhiteRabbitNeo 8B V2.0, a powerful [**insert short description of your project here**].")
+
+# User input section with clear instructions
+st.header("Interact with the Model")
+user_input = st.text_input("Enter your input here (e.g., text, image, code snippet)", key="user_input")
+
+# Optional: Input validation or guidance based on your project's requirements
+# You can use libraries like validators or custom logic to check input validity
+
+# Model processing and results section (replace with your specific logic)
+if st.button("Run Model"):
+    if user_input:
+        # Simulate model processing (replace with actual model call)
+        processing_text = f"Processing your input: {user_input}..."
+        st.info(processing_text)
+        import time
+        time.sleep(2)  # Simulate processing time
+
+        # Display model output (replace with your model's output format)
+        output_text = "This is a sample model output based on your input."
+        st.success(output_text)
+    else:
+        st.warning("Please enter some input to proceed.")
+
+# Additional sections for visualizations, explanations, or other functionalities (optional)
+# You can use Streamlit charts, images, and text to enhance user experience
+
+# Streamlit provides a variety of UI components like sliders, checkboxes, and radio buttons.
+# Choose the ones that best suit your project's interaction needs.
+
+# Emphasize clear explanations and informative messages throughout the app.