Update app.py

app.py

@@ -1,48 +1,67 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 import datetime
-import requests
+import numpy
 import pytz
+import requests
 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 !
+from tools.final_answer import FinalAnswerTool
+
 @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 
+def X_transformation(array:numpy.ndarray)-> numpy.ndarray:
+    """swap elemnents with position 0 and position 1 of array
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        array: numpy.ndarray
     """
-    return "What magic will you build ?"
+    # create new array with the same lengh
+    permute_array = numpy.zeros(len(array), dtype='int')
+    # assign a value of element with position 0 of new array from element with position 1 of original array
+    permute_array[0] = array[1]
+    # assign a value of element with position 1 of new array from element with position 0 of original array
+    permute_array[1] = array[0]
+    # assign a values of elements of new array from elements of original array
+    permute_array[2:] = array[2:]
+    return permute_array
 
 @tool
-def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+def L_transformation(array:numpy.ndarray)-> numpy.ndarray:
+    """left cyclic shift of array
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        array: numpy.ndarray
     """
-    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)}"
+    # create new array with the same lengh
+    permute_array = numpy.zeros(len(array), dtype='int')
+    # assign a values of elements of new array from elements of original array
+    permute_array[0:-1] = array[1:]
+    # assign a value of element with position -1 of new array from element with position 0 of original array
+    permute_array[-1] = array[0]
+    return permute_array
 
+@tool
+def R_transformation(array:numpy.ndarray)-> numpy.ndarray:
+    """a tool that swaps elements with position 0 and position 1 of array
+    Args:
+        array: numpy.ndarray
+    """
+    # create new array with the same lengh
+    permute_array = numpy.zeros(len(array), dtype='int')
+    # assign a values of elements of new array from elements of original array
+    permute_array[1:] = array[0:-1]
+    # assign a value of element with position 0 of new array from element with position -1 of original array
+    permute_array[0] = array[-1]
+    return permute_array
 
-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' 
+final_answer = FinalAnswerTool()
 
 model = HfApiModel(
 max_tokens=2096,
 temperature=0.5,
-model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', #'Qwen/Qwen2.5-Coder-32B-Instruct', it is possible that this model may be overloaded
+model_id='Qwen/Qwen2.5-72B-Instruct',
+#model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', 
+#model_id='Qwen/Qwen2.5-Coder-32B-Instruct', it is possible that this model may be overloaded
 custom_role_conversions=None,
 )
 
@@ -55,14 +74,21 @@ with open("prompts.yaml", 'r') as stream:
     
 agent = CodeAgent(
     model=model,
-    tools=[final_answer, image_generation_tool], ## add your tools here (don't remove final answer)
-    max_steps=6,
+    tools=[
+        final_answer, 
+        image_generation_tool, 
+        X_transformation, 
+        L_transformation, 
+        R_transformation
+    ], ## add your tools here (don't remove final answer)
+    max_steps=10,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
     name=None,
     description=None,
-    prompt_templates=prompt_templates
+    prompt_templates=prompt_templates,
+    additional_authorized_imports=["numpy", "heapq"],
 )