Update app.py

app.py

@@ -4,104 +4,54 @@ import requests
 import pytz
 import yaml
 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 generate_keywords(topic: str, max_keywords: int = 30) -> str:
-    """Генерирует релевантные ключевые слова для заданной темы
+def keyword_generator(arg1:str)-> str: # it's important to specify the return type
+    # Keep this format for the tool description / args description but feel free to modify the tool
+    """A tool that generate keywords by the topic 
     Args:
-        topic: Тема для генерации (на русском языке)
-        max_keywords: Максимальное количество возвращаемых ключевых слов
-    """
-    import random
-    from collections import deque
-    
-    # Инициализация компонентов генерации
-    base_words = [w.strip().lower() for w in topic.split() if len(w) > 2]
-    if not base_words:
-        return "Необходимо указать более конкретную тему"
-    
-    # Паттерны для генерации
-    patterns = [
-        ["вопросы", "что такое", "как сделать", "почему", "когда", "где найти"],
-        ["топ", "лучшие", "рейтинг", "самые популярные"],
-        ["методы", "способы", "технологии", "решения"],
-        ["обзор", "отзывы", "сравнение", "виды"],
-        ["курс", "урок", "обучение", "самоучитель"],
-        ["2025", "новинки", "тренды", "будущее"],
-        ["для начинающих", "профессиональные", "премиум"],
-        ["бесплатно", "купить", "заказать", "стоимость"],
-        ["преимущества", "недостатки", "польза", "вред"],
-        ["идеи", "примеры", "кейсы", "истории успеха"]
-    ]
-    
-    # Генерация вариантов
-    keywords = set()
-    queue = deque([(0, [], base_words)])
-    
-    while queue:
-        level, current, remaining = queue.popleft()
-        
-        if level >= 3 or not remaining:
-            if current:
-                keywords.add(" ".join(current))
-            continue
-            
-        # Добавляем паттерны
-        if level == 0:
-            for pattern_group in patterns:
-                for p in pattern_group:
-                    new_phrase = [p] + current
-                    queue.append((level+1, new_phrase, remaining))
+        arg1: generate 10 most relevant keywords
         
-        # Комбинируем слова
-        for i in range(len(remaining)):
-            next_word = remaining[i]
-            new_phrase = current + [next_word]
-            new_remaining = remaining[:i] + remaining[i+1:]
-            queue.append((level+1, new_phrase, new_remaining))
-            
-            # Добавляем модификаторы
-            modifiers = ["", "2025", "курс", "обзор", "топ", "способы"]
-            for mod in modifiers:
-                if mod:
-                    modified = current + [f"{next_word}-{mod}"]
-                    queue.append((level+2, modified, new_remaining))
-    
-    # Ранжирование и выборка
-    result = sorted(keywords, 
-                   key=lambda x: (-len(x.split()), x))
-    random.shuffle(result[:len(result)//2])
-    
-    return ", ".join(result[:max(max_keywords, 1)])
+    """
+    return "keywords"
+
+@tool
+def get_current_time_in_timezone(timezone: str) -> str:
+    """A tool that fetches the current local time in a specified timezone.
+    Args:
+        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+    """
+    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)}"
 
-# Initialize components
-final_answer = FinalAnswerTool()
 
-# Model initialization
+final_answer = FinalAnswerTool()
 model = HfApiModel(
-    max_tokens=2096,
-    temperature=0.5,
-    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
-    custom_role_conversions=None,
+max_tokens=2096,
+temperature=0.5,
+model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+custom_role_conversions=None,
 )
 
-# Load tool from Hub
+
+# Import tool from Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
-# Load prompt templates
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-
-# Create agent
+    
 agent = CodeAgent(
-    tools=[
-        image_generation_tool,
-        generate_keywords,
-        final_answer,
-        DuckDuckGoSearchTool()
-    ],
     model=model,
+    tools=[final_answer, keyword_generator], # add your tools here (don't remove final_answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -111,5 +61,5 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-# Launch UI
+
 GradioUI(agent).launch()