Update app.py

app.py

@@ -373,20 +373,11 @@ input[type="radio"]:checked::after {
             with gr.Column(elem_classes=["container", "model-container"]):
               #  gr.Markdown("## See MetaPrompt Impact")            
                 with gr.Row():
-                    apply_model = gr.Dropdown(
-                        [
-                            "Qwen/Qwen2.5-72B-Instruct",
-                            "meta-llama/Meta-Llama-3-70B-Instruct",
-                            "meta-llama/Llama-3.1-8B-Instruct",
-                            "NousResearch/Hermes-3-Llama-3.1-8B",
-                            "HuggingFaceH4/zephyr-7b-alpha",
-                            "meta-llama/Llama-2-7b-chat-hf",
-                            "microsoft/Phi-3.5-mini-instruct"
-                        ],
-                        value="meta-llama/Meta-Llama-3-70B-Instruct",
-                        label="Choose the Model",
-                     #   elem_classes="no-background"
-                    )
+                    apply_model = gr.Dropdown(models,
+                                            value="meta-llama/Meta-Llama-3-70B-Instruct",
+                                            label="Choose the Model",
+                                         #   elem_classes="no-background"
+                                        )
                     apply_button = gr.Button("Apply MetaPrompt")
 
           #  with gr.Column(elem_classes=["container", "results-container"]):
@@ -440,6 +431,36 @@ metaprompt_explanations = {
     "bolism": "Utilize this method when working with autoregressive language models and when the task requires careful reasoning before conclusions. It's best for prompts that need detailed output formatting. Choose this over others when the prompt's structure and reasoning order are crucial."
 }
 
+models =         [
+        "meta-llama/Llama-3.1-8B-Instruct",
+        "meta-llama/Llama-3.2-1B-Instruct",
+        "meta-llama/Llama-3.2-3B-Instruct",
+        "Qwen/Qwen2.5-72B-Instruct",
+        "codellama/CodeLlama-34b-Instruct-hf",
+        "google/gemma-1.1-2b-it",
+        "HuggingFaceH4/starchat2-15b-v0.1",
+        "HuggingFaceH4/zephyr-7b-alpha",
+        "HuggingFaceH4/zephyr-7b-beta",
+        "meta-llama/Llama-2-13b-chat-hf",
+        "meta-llama/Llama-2-7b-chat-hf",
+        "meta-llama/Llama-3.1-70B-Instruct",
+        "meta-llama/Meta-Llama-3-8B-Instruct",
+        "meta-llama/Meta-Llama-3-70B-Instruct",
+        "microsoft/DialoGPT-medium",
+        "microsoft/Phi-3-mini-4k-instruct",
+        "microsoft/Phi-3.5-mini-instruct",
+        "mistralai/Mistral-7B-Instruct-v0.2",
+        "mistralai/Mistral-7B-Instruct-v0.3",
+        "mistralai/Mistral-Nemo-Instruct-2407",
+        "mistralai/Mixtral-8x7B-Instruct-v0.1",
+        "Ninja5000/DialoGPT-medium-TWEWYJoshua",
+        "nopeno600321/DialoGPT-medium-Loki",
+        "NousResearch/Hermes-3-Llama-3.1-8B",
+        "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
+        "Qwen/Qwen2.5-1.5B",
+        "tiiuae/falcon-7b-instruct"
+    ]
+
 explanation_markdown = "".join([f"- **{key}**: {value}\n" for key, value in metaprompt_explanations.items()])
 
 if __name__ == '__main__':