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Première proposition app.py

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  1. app.py +49 -31
app.py CHANGED
@@ -1,69 +1,87 @@
1
- from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
2
  import datetime
3
- import requests
4
  import pytz
5
  import yaml
 
 
6
  from tools.final_answer import FinalAnswerTool
 
 
7
 
8
  from Gradio_UI import GradioUI
9
 
10
- # Below is an example of a tool that does nothing. Amaze us with your creativity !
 
 
11
  @tool
12
- def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
13
- #Keep this format for the description / args / args description but feel free to modify the tool
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- """A tool that does nothing yet
15
  Args:
16
- arg1: the first argument
17
- arg2: the second argument
18
  """
19
- return "What magic will you build ?"
 
20
 
21
  @tool
22
  def get_current_time_in_timezone(timezone: str) -> str:
23
- """A tool that fetches the current local time in a specified timezone.
24
  Args:
25
- timezone: A string representing a valid timezone (e.g., 'America/New_York').
26
  """
27
  try:
28
- # Create timezone object
29
  tz = pytz.timezone(timezone)
30
- # Get current time in that timezone
31
  local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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- return f"The current local time in {timezone} is: {local_time}"
33
  except Exception as e:
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- return f"Error fetching time for timezone '{timezone}': {str(e)}"
35
 
36
 
37
- final_answer = FinalAnswerTool()
38
 
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- # 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:
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- # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
 
41
 
42
- model = HfApiModel(
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- max_tokens=2096,
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- temperature=0.5,
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- model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
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- custom_role_conversions=None,
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  )
48
 
 
49
 
50
- # Import tool from Hub
51
- image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
 
 
 
 
 
52
 
53
- with open("prompts.yaml", 'r') as stream:
54
  prompt_templates = yaml.safe_load(stream)
55
-
 
 
56
  agent = CodeAgent(
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  model=model,
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- tools=[final_answer], ## add your tools here (don't remove final answer)
 
 
 
 
 
 
 
59
  max_steps=6,
60
  verbosity_level=1,
61
  grammar=None,
62
  planning_interval=None,
63
  name=None,
64
  description=None,
65
- prompt_templates=prompt_templates
66
  )
67
 
68
-
69
- GradioUI(agent).launch()
 
1
+ from smolagents import CodeAgent, InferenceClientModel, load_tool, tool
2
  import datetime
 
3
  import pytz
4
  import yaml
5
+
6
+ # ==== Import des tools définis dans tools/ ====
7
  from tools.final_answer import FinalAnswerTool
8
+ from tools.web_search import DuckDuckGoSearchTool
9
+ from tools.visit_webpage import VisitWebpageTool
10
 
11
  from Gradio_UI import GradioUI
12
 
13
+
14
+ # ==== Nouveaux tools Python ====
15
+
16
  @tool
17
+ def my_custom_tool(arg1: str, arg2: int) -> str:
18
+ """Un tool de démonstration qui renvoie simplement les arguments.
 
19
  Args:
20
+ arg1: Premier argument texte.
21
+ arg2: Deuxième argument numérique.
22
  """
23
+ return f"my_custom_tool a reçu arg1='{arg1}' et arg2={arg2}."
24
+
25
 
26
  @tool
27
  def get_current_time_in_timezone(timezone: str) -> str:
28
+ """Retourne l'heure locale actuelle dans un fuseau horaire donné.
29
  Args:
30
+ timezone: Fuseau horaire valide (ex: 'Europe/Paris', 'America/New_York').
31
  """
32
  try:
 
33
  tz = pytz.timezone(timezone)
 
34
  local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
35
+ return f"L'heure locale actuelle dans {timezone} est : {local_time}"
36
  except Exception as e:
37
+ return f"Erreur pour le fuseau '{timezone}' : {str(e)}"
38
 
39
 
40
+ # ==== Instanciation des tools existants ====
41
 
42
+ final_answer = FinalAnswerTool()
43
+ web_search = DuckDuckGoSearchTool()
44
+ visit_webpage = VisitWebpageTool()
45
 
46
+ # Tool Hub text->image (prévu dans le cours)
47
+ image_generation_tool = load_tool(
48
+ "agents-course/text-to-image",
49
+ trust_remote_code=True,
 
50
  )
51
 
52
+ # ==== Modèle LLM (Qwen2.5 Coder 32B Instruct) ====
53
 
54
+ model = InferenceClientModel(
55
+ max_tokens=2096,
56
+ temperature=0.5,
57
+ model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
58
+ custom_role_conversions=None,
59
+ )
60
+
61
+ # ==== Prompts (prompts.yaml) ====
62
 
63
+ with open("prompts.yaml", "r") as stream:
64
  prompt_templates = yaml.safe_load(stream)
65
+
66
+ # ==== Création de l’agent ====
67
+
68
  agent = CodeAgent(
69
  model=model,
70
+ tools=[
71
+ web_search, # DuckDuckGo web search
72
+ visit_webpage, # lecture de page web
73
+ image_generation_tool, # génération d’image
74
+ my_custom_tool, # tool custom
75
+ get_current_time_in_timezone,
76
+ final_answer, # final_answer doit être présent
77
+ ],
78
  max_steps=6,
79
  verbosity_level=1,
80
  grammar=None,
81
  planning_interval=None,
82
  name=None,
83
  description=None,
84
+ prompt_templates=prompt_templates,
85
  )
86
 
87
+ GradioUI(agent).launch()