Update app.py

app.py

@@ -1,69 +1,51 @@
 from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
-import datetime
-import requests
-import pytz
 import yaml
+from deep_translator import GoogleTranslator
+from gtts import gTTS
+import os
 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
-    """
-    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.
+def translate_and_speak(text: str, target_lang: str = "ru") -> str:
+    """Переводит текст на выбранный язык и озвучивает его.
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        text: Входной текст.
+        target_lang: Целевой язык (по умолчанию - русский).
+    Returns:
+        Путь к аудиофайлу для воспроизведения.
     """
     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}"
+        translated_text = GoogleTranslator(source="auto", target=target_lang).translate(text)
+        tts = gTTS(translated_text, lang=target_lang)
+        
+        filename = "/tmp/translated_speech.mp3"  # Поддержка Hugging Face Spaces
+        tts.save(filename)
+        
+        return filename  # Возвращаем путь к файлу
     except Exception as e:
-        return f"Error fetching time for timezone '{timezone}': {str(e)}"
-
+        return f"Ошибка: {str(e)}"
 
 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,
+    max_tokens=2096,
+    temperature=0.5,
+    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+    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)
-    
+# Подключаем инструмент
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer, translate_and_speak],  # Добавляем наш инструмент
     max_steps=6,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
     name=None,
     description=None,
-    prompt_templates=prompt_templates
+    prompt_templates=yaml.safe_load(open("prompts.yaml", 'r'))
 )
 
-
 GradioUI(agent).launch()