Update app.py

app.py

@@ -1,61 +1,70 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
-import datetime
-import requests
-import pytz
+from smolagents import CodeAgent, HfApiModel, load_tool
 import yaml
-from tools.final_answer import FinalAnswerTool
+from smolagents import tool
+from duckduckgo_search import DDGS
 
+from tools.final_answer import FinalAnswerTool
 from Gradio_UI import GradioUI
 
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
 @tool
-def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
-    #Keep this format for the description / args / args description but feel free to modify the tool
-    """A tool that does nothing yet 
-    Args:
-        arg1: the first argument
-        arg2: the second argument
+def DuckDuckGoSearchTool(query: str) -> str:
     """
-    return "What magic will you build ?"
-
-@tool
-def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+    Инструмент для поиска информации в интернете с помощью DuckDuckGo.
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        query: Поисковый запрос.
     """
-    try:
-        # Create timezone object
-        tz = pytz.timezone(timezone)
-        # Get current time in that timezone
-        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
-        return f"The current local time in {timezone} is: {local_time}"
-    except Exception as e:
-        return f"Error fetching time for timezone '{timezone}': {str(e)}"
-
+    with DDGS() as ddgs:
+        results = [r for r in ddgs.text(query, max_results=5)]  # Ограничиваем до 5 результатов
+        if not results:
+            return "По вашему запросу ничего не найдено."
+        formatted_results = "\n\n".join(
+            f"**Заголовок:** {r['title']}\n**Ссылка:** {r['href']}\n**Краткое содержание:** {r['body']}"
+            for r in results
+        )
+    return formatted_results
 
 final_answer = FinalAnswerTool()
 
-# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
-# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 
-
-model = HfApiModel(
-max_tokens=2096,
-temperature=0.5,
-model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
-custom_role_conversions=None,
-)
+# Define both model IDs
+primary_model_id = 'Qwen/Qwen2.5-Coder-32B-Instruct'
+fallback_model_id = 'https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
 
+try:
+    model = HfApiModel(
+        max_tokens=2096,
+        temperature=0.5,
+        model_id=primary_model_id,
+        custom_role_conversions=None,
+    )
+    print(f"Using primary model: {primary_model_id}")
+except Exception as e:
+    print(f"Error initializing primary model: {e}")
+    print(f"Falling back to secondary model: {fallback_model_id}")
+    # If the primary model fails, use the fallback model
+    model = HfApiModel(
+        max_tokens=2096,
+        temperature=0.5,
+        model_id=fallback_model_id,
+        custom_role_conversions=None,
+    )
 
-# Import tool from Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
 with open("prompts.yaml", 'r') as stream:
-    prompt_templates = yaml.safe_load(stream)
-    
+    try:
+        prompt_templates = yaml.safe_load(stream)
+    except yaml.YAMLError as exc:
+        print(exc)
+
+if isinstance(prompt_templates, dict) and 'system_prompt' in prompt_templates:
+    # Если все ок, используем загруженный шаблон
+    system_prompt = prompt_templates['system_prompt']
+
+    prompt_templates = {'system_prompt': system_prompt}
+
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[DuckDuckGoSearchTool, final_answer, image_generation_tool],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -65,5 +74,4 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-
 GradioUI(agent).launch()