add default

app.py

@@ -8,7 +8,7 @@ from pathlib import Path
 
 from geo_bot import GeoBot, AGENT_PROMPT_TEMPLATE
 from benchmark import MapGuesserBenchmark
-from config import MODELS_CONFIG, get_data_paths, SUCCESS_THRESHOLD_KM
+from config import MODELS_CONFIG, get_data_paths, SUCCESS_THRESHOLD_KM, DEFAULT_MODEL, DEFAULT_TEMPERATURE
 from langchain_openai import ChatOpenAI
 from langchain_anthropic import ChatAnthropic
 from langchain_google_genai import ChatGoogleGenerativeAI
@@ -65,13 +65,13 @@ with st.sidebar:
     default_dataset = available_datasets[0] if available_datasets else "default"
 
     dataset_choice = st.selectbox("Dataset", available_datasets, index=0)
-    model_choice = st.selectbox("Model", list(MODELS_CONFIG.keys()))
+    model_choice = st.selectbox("Model", list(MODELS_CONFIG.keys()), index=list(MODELS_CONFIG.keys()).index(DEFAULT_MODEL))
     steps_per_sample = st.slider("Max Steps", 3, 20, 10)
     temperature = st.slider(
         "Temperature",
         0.0,
         2.0,
-        0.0,
+        DEFAULT_TEMPERATURE,
         0.1,
         help="Controls randomness in AI responses. 0.0 = deterministic, higher = more creative",
     )

config.py

@@ -26,6 +26,10 @@ BENCHMARK_CONFIG = {
 # MapCrunch options
 MAPCRUNCH_OPTIONS = {}
 
+# Default settings
+DEFAULT_MODEL = "gemini-2.5-pro"
+DEFAULT_TEMPERATURE = 1.0
+
 # Model configurations
 MODELS_CONFIG = {
     "gpt-4o": {
@@ -70,7 +74,6 @@ MODELS_CONFIG = {
     },
 }
 
-
 # Data paths - now supports named datasets
 def get_data_paths(dataset_name: str = "default"):
     """Get data paths for a specific dataset"""
@@ -80,6 +83,5 @@ def get_data_paths(dataset_name: str = "default"):
         "results": f"results/{dataset_name}/",
     }
 
-
 # Backward compatibility - default paths
 DATA_PATHS = get_data_paths("default")