feat: add refactoring of default temperature

examples/local_models/smart_scraper_ollama.py

@@ -14,7 +14,6 @@
         "format": "json",  # Ollama needs the format to be specified explicitly
         # "base_url": "http://localhost:11434", # set ollama URL arbitrarily
     },
-
     "verbose": True,
     "headless": False
 }

scrapegraphai/graphs/abstract_graph.py

@@ -53,6 +53,9 @@ class AbstractGraph(ABC):
     def __init__(self, prompt: str, config: dict,
                  source: Optional[str] = None, schema: Optional[BaseModel] = None):
 
+        if config.get("llm").get("temperature") is None:
+            config["llm"]["temperature"] = 0
+
         self.prompt = prompt
         self.source = source
         self.config = config
@@ -212,7 +215,7 @@ def handle_model(model_name, provider, token_key, default_token=8192):
                 print("model not found, using default token size (8192)")
                 self.model_token = 8192
             return ErnieBotChat(llm_params)
-        
+
         if "oneapi" in llm_params["model"]:
             # take the model after the last dash
             llm_params["model"] = llm_params["model"].split("/")[-1]
@@ -221,7 +224,7 @@ def handle_model(model_name, provider, token_key, default_token=8192):
             except KeyError as exc:
                 raise KeyError("Model not supported") from exc
             return OneApi(llm_params)
-        
+
         if "nvidia" in llm_params["model"]:
             try:
                 self.model_token = models_tokens["nvidia"][llm_params["model"].split("/")[-1]]