Update app.py

app.py

@@ -5,10 +5,7 @@ import os
 ACCESS_TOKEN = os.getenv("HF_TOKEN")
 
 def show_loading_status(msg):
-    """
-    This helper function attempts to show a pop-up (toast) message if called
-    during an active Gradio event. If that fails, we at least log to console.
-    """
+    
     try:
         gr.toast(msg)
     except:
@@ -44,8 +41,7 @@ def respond(
     show_loading_status(f"Selected model (custom_model): {custom_model}")
 
     # Convert seed to None if -1 (meaning random)
-    if seed == -1:
-        seed = None
+    seed = seed if seed != -1 else random.randint(1, 1000000000),
 
     messages = [{"role": "system", "content": system_message}]
     show_loading_status("Initial messages array constructed.")
@@ -143,7 +139,7 @@ frequency_penalty_slider = gr.Slider(
 )
 seed_slider = gr.Slider(
     minimum=-1,
-    maximum=65535,
+    maximum=1000000000,
     value=-1,
     step=1,
     label="Seed (-1 for random)"
@@ -192,17 +188,12 @@ with demo:
             "meta-llama/Llama-3.2-1B-Instruct",
             "meta-llama/Llama-3.1-8B-Instruct",
             "NousResearch/Hermes-3-Llama-3.1-8B",
-            "google/gemma-2-27b-it",
-            "google/gemma-2-9b-it",
-            "google/gemma-2-2b-it",
             "mistralai/Mistral-Nemo-Instruct-2407",
             "mistralai/Mixtral-8x7B-Instruct-v0.1",
             "mistralai/Mistral-7B-Instruct-v0.3",
             "Qwen/Qwen2.5-72B-Instruct",
             "Qwen/QwQ-32B-Preview",
-            "PowerInfer/SmallThinker-3B-Preview",
             "HuggingFaceTB/SmolLM2-1.7B-Instruct",
-            "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
             "microsoft/Phi-3.5-mini-instruct",
         ]
         show_loading_status("Models list initialized.")