Update app.py

app.py

@@ -6,6 +6,45 @@ import json
 import time
 import random
 
+markdown_content = """
+## PoliticalLLM
+
+This application leverages advanced AI models to predict responses to political statements based on various ideological tests such as Wahl-O-Mat and Political Compass Test. Users can manipulate prompts directly by impersonating a political entity or indirectly through context-related information from our manifesto database.
+
+### How to Use:
+1. **Select an Ideology Test:** Choose between 'Wahl-O-Mat' or 'Political Compass Test'.
+2. **Select or Enter a Political Statement:** Choose a statement or enter your own.
+3. **Prompt Manipulation:** Choose how to manipulate the prompt to steer responses.
+4. **Select Models:** Choose two models to generate responses.
+5. **Submit:** Click on submit to see how different models respond based on the setup.
+
+**Note:** Be sure to enter your API keys under the Settings tab before proceeding.
+"""
+
+DESCRIPTION = '''
+<div>
+<h1 style="text-align: center;">Meta Llama3 8B</h1>
+<p>This Space demonstrates the instruction-tuned model <a href="https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct"><b>Meta Llama3 8b Chat</b></a>. Meta Llama3 is the new open LLM and comes in two sizes: 8b and 70b. Feel free to play with it, or duplicate to run privately!</p>
+<p>🔎 For more details about the Llama3 release and how to use the model with <code>transformers</code>, take a look <a href="https://huggingface.co/blog/llama3">at our blog post</a>.</p>
+<p>🦕 Looking for an even more powerful model? Check out the <a href="https://huggingface.co/chat/"><b>Hugging Chat</b></a> integration for Meta Llama 3 70b</p>
+</div>
+'''
+
+
+css = """
+h1 {
+  text-align: center;
+  display: block;
+}
+#duplicate-button {
+  margin: auto;
+  color: white;
+  background: #1565c0;
+  border-radius: 100vh;
+}
+"""
+
+
 togetherai_base_url = "https://api.together.xyz/v1"
 
 supported_models = ["mistralai/Mixtral-8x7B-Instruct-v0.1",
@@ -146,7 +185,10 @@ def main():
 
     with gr.Blocks(theme=gr.themes.Base()) as demo:
 
-        # Ideology Test drowndown
+        gr.Markdown(markdown_content)
+        gr.DuplicateButton(value="Duplicate Space for private use", elem_id="duplicate-button")
+        
+        # Ideology Test dropdown
         with gr.Tab("App"):
             with gr.Row():
                 ideology_test = gr.Dropdown(