Update app.py

app.py

@@ -228,7 +228,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
         gr.Markdown("In Live Auditing Mode, you gain the ability to probe the LLM directly.")
         gr.Markdown("First, select the LLM you wish to audit. Then, enter your question. The AuditLLM tool will generate five relevant and diverse prompts based on your question. You can now select these prompts for auditing the LLMs. Examine the similarity scores in the answers generated from these prompts to assess the LLM's performance effectively") 
         with gr.Row():
-            model_name_input = 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")
+            model_name_input = gr.Dropdown([("Llama-2-7B", "TheBloke/Llama-2-7B-Chat-GGML"), ("Falcon-180B", "TheBloke/Falcon-180B-Chat-GGUF"), ("Zephyr-7B", "TheBloke/zephyr-quiklang-3b-4K-GGUF"),("Vicuna-33B", "TheBloke/vicuna-33B-GGUF"),("Claude2","TheBloke/claude2-alpaca-13B-GGUF"),("Alpaca-7B","TheBloke/LeoScorpius-GreenNode-Alpaca-7B-v1-GGUF")], label="Large Language Model")
         with gr.Row():
             prompt_input = gr.Textbox(label="Enter your question", placeholder="Enter Your Question")
         with gr.Row():
@@ -266,12 +266,12 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
         gr.Markdown("Upon completion, please provide your email address. We will compile and send the answers to you promptly.")
             
         llm_dropdown = gr.Dropdown(choices=[
-                ("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")], 
+                ("Llama-2-7B", "TheBloke/Llama-2-7B-Chat-GGML"), 
+                ("Falcon-180B", "TheBloke/Falcon-180B-Chat-GGUF"), 
+                ("Zephyr-7B", "TheBloke/zephyr-quiklang-3b-4K-GGUF"), 
+                ("Vicuna-33B", "TheBloke/vicuna-33B-GGUF"), 
+                ("Claude2", "TheBloke/claude2-alpaca-13B-GGUF"), 
+                ("Alpaca-7B", "TheBloke/LeoScorpius-GreenNode-Alpaca-7B-v1-GGUF")], 
                 label="Large Language Model")
         file_upload = gr.File(label="Upload an Excel File with Questions", file_types=[".xlsx"])
         with gr.Row():