Update app.py

app.py

@@ -275,19 +275,19 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
         """)
 
         gr.Markdown("## Batch Mode Auditing LLMs")
-            gr.Markdown("In batch auditing mode, you have the capability to probe the LLM. To begin, you must first select the LLM you wish to audit and then input the questions you intend to explore. For each question submitted, the model will generate five prompts, each accompanied by its respective answers.")
-            gr.Markdown("To tailor the generation of these five prompts from your original question, you can adjust the relevance and diversity scores. The relevance score determines how closely the generated prompts should align with the original question, while the diversity score dictates the variance among the prompts themselves.")
-            gr.Markdown("Upon completion, please provide your email address. We will compile and send the answers to you promptly.")
+        gr.Markdown("In batch auditing mode, you have the capability to probe the LLM. To begin, you must first select the LLM you wish to audit and then input the questions you intend to explore. For each question submitted, the model will generate five prompts, each accompanied by its respective answers.")
+        gr.Markdown("To tailor the generation of these five prompts from your original question, you can adjust the relevance and diversity scores. The relevance score determines how closely the generated prompts should align with the original question, while the diversity score dictates the variance among the prompts themselves.")
+        gr.Markdown("Upon completion, please provide your email address. We will compile and send the answers to you promptly.")
             
-            llm_dropdown = gr.Dropdown([("Llama", "TheBloke/Llama-2-7B-Chat-GGML"), ("Falcon", "TheBloke/Falcon-180B-Chat-GGUF"), ("Zephyr", "TheBloke/zephyr-quiklang-3b-4K-GGUF"), ("Vicuna", "TheBloke/vicuna-33B-GGUF"), ("Claude", "TheBloke/claude2-alpaca-13B-GGUF"), ("Alpaca", "TheBloke/LeoScorpius-GreenNode-Alpaca-7B-v1-GGUF")], label="Large Language Model")
-            questions_textbox = gr.Textbox(label="Enter your question", placeholder="Enter your questions here...")
-            file_upload = gr.File(label="Or You Can Click to Upload a File")
-            relevance_slider = gr.Slider(0, 100, value=70, step=1, label="Relevance")
-            diversity_slider = gr.Slider(0, 100, value=25, step=1, label="Diversity")
-            email_input = gr.Textbox(label="Enter your email address", placeholder="[email protected]")
+        llm_dropdown = gr.Dropdown([("Llama", "TheBloke/Llama-2-7B-Chat-GGML"), ("Falcon", "TheBloke/Falcon-180B-Chat-GGUF"), ("Zephyr", "TheBloke/zephyr-quiklang-3b-4K-GGUF"), ("Vicuna", "TheBloke/vicuna-33B-GGUF"), ("Claude", "TheBloke/claude2-alpaca-13B-GGUF"), ("Alpaca", "TheBloke/LeoScorpius-GreenNode-Alpaca-7B-v1-GGUF")], label="Large Language Model")
+        questions_textbox = gr.Textbox(label="Enter your question", placeholder="Enter your questions here...")
+        file_upload = gr.File(label="Or You Can Click to Upload a File")
+        relevance_slider = gr.Slider(0, 100, value=70, step=1, label="Relevance")
+        diversity_slider = gr.Slider(0, 100, value=25, step=1, label="Diversity")
+        email_input = gr.Textbox(label="Enter your email address", placeholder="[email protected]")
             
-            submit_button = gr.Button("Submit")
-            submit_button.click(fn=process_inputs, inputs=[llm_dropdown, questions_textbox, relevance_slider, diversity_slider, email_input], outputs="text")
+        submit_button = gr.Button("Submit")
+        submit_button.click(fn=process_inputs, inputs=[llm_dropdown, questions_textbox, relevance_slider, diversity_slider, email_input], outputs="text")