Update app.py

app.py

@@ -33,7 +33,7 @@ AVAILABLE_MODELS = {
     "llama": {"description": "Llama 3.3 70B (larger, good for diversity)", "speed": "Moderate"},
     "claude": {"description": "Claude 3.5 Haiku (via Pollinations gateway, good for chat)", "speed": "Moderate"},
     "qwen-coder": {"description": "Qwen 2.5 Coder 32B (coder-focused, general chat is okay)", "speed": "Moderate"},
-    "gemma": {"description": "Gemma 7B (Google's open model, good generalist)", "speed": "Moderate"},
+    "openai-fast": {"description": "Gemma 7B (Google's open model, good generalist)", "speed": "Moderate"},
     "dbrx": {"description": "DBRX (Databricks's large open model, might be slower)", "speed": "Slow"},
     "mixtral": {"description": "Mixtral 8x7B (Mixture of Experts, good balance of speed/quality)", "speed": "Fast/Moderate"},
     "command-r": {"description": "Command R (Cohere's powerful model)", "speed": "Moderate"},
@@ -451,7 +451,7 @@ with gr.Blocks() as demo:
     with gr.Tabs():
         with gr.Tab("Generate Conversations"):
             with gr.Row():
-                num_conversations_input = gr.Slider(minimum=1, maximum=200, value=3, step=1, label="Number of Conversations to Generate", info="More conversations take longer and might hit API limits.")
+                num_conversations_input = gr.Slider(minimum=1, maximum=2000, value=3, step=1, label="Number of Conversations to Generate", info="More conversations take longer and might hit API limits.")
 
             gr.Markdown("### Model Selection")
             model_selector_dropdown = gr.Dropdown(