Update app.py

app.py

@@ -9,27 +9,19 @@ 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.
+This application showcases how LLMs respond to statements from two tests ideology tests, Wahl-O-Mat and Political Compass Test. Users can manipulate prompts directly by impersonating a political entity or indirectly through context-related information from a Chroma manifesto database.
+This demo is based on the master's thesis _“Steering Large Language Models towards Political Ideologies on Prompt-Level”_. Full framework is available at: [Link text](https://github.com/j0st/PoliticalLLM).
 
 ### 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.
+1. **Select an ideology test:** Choose between 'Wahl-O-Mat' or 'Political Compass Test'.
+2. **Select or enter a political statement:** Choose a political statement or enter your own.
+3. **Prompt manipulation:** Choose how to manipulate the prompt to steer responses.
+4. **Select models:** Choose up to 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 {
@@ -189,7 +181,7 @@ def main():
         gr.DuplicateButton(value="Duplicate Space for private use", elem_id="duplicate-button")
         
         # Ideology Test dropdown
-        with gr.Tab("App"):
+        with gr.Tab("🤖 App"):
             with gr.Row():
                 ideology_test = gr.Dropdown(
                     scale=1,
@@ -252,7 +244,7 @@ def main():
                 with gr.Accordion("Prompt details", open=False):
                     prompt_display = gr.Textbox(show_label=False, interactive=False, placeholder="Prompt used in the last query will appear here.")
 
-        with gr.Tab("Settings"):
+        with gr.Tab("⚙️ Settings"):
             with gr.Row():
                 openai_api_key = gr.Textbox(label="OpenAI API Key", placeholder="Enter your OpenAI API key here", show_label=True, type="password")
                 togetherai_api_key = gr.Textbox(label="Together.ai API Key", placeholder="Enter your Together.ai API key here", show_label=True, type="password")