Update app.py

app.py

@@ -1,9 +1,11 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
-import datetime
+from smolagents import CodeAgent, tool, Tool,LiteLLMModel, OpenAIServerModel
+from tools.final_answer import FinalAnswerTool
 import requests
 import pytz
 import yaml
-from tools.final_answer import FinalAnswerTool
+import pandas as pd
+import os, json
+from PIL import Image
 
 from Gradio_UI import GradioUI
 
@@ -19,43 +21,36 @@ def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return
     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.
-    Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+def get_g5_data() -> dict:
+    """Returns G5 dataset in a dictionary format.
+    G5 dataset contains informations relating to the movements of ships in space and time, mostly between the mid-18th and mid-19th centuries
     """
-    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)}"
+    df = pd.read_csv("g5data.csv", sep=";", encoding="utf-8")
+    return df.to_dict()
 
+@tool
+def save_figure()-> None:
+  """Save the chart in a image.png file located at "/content/gdrive/MyDrive/ColabNotebooks/Portic" path
+  Returns the image displayed"""
+  image_path = '/content/gdrive/MyDrive/ColabNotebooks/Portic/image.png'
+  return Image.open(image_path)
 
 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,
-)
-
+model = LiteLLMModel(model_id="gemini/gemini-1.5-flash",  api_key=os.environ["GOOGLE_API_KEY"])
 
 # Import tool from Hub
-image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
+#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)
     
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer,get_g5_data,save_figure], ## add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,