Mise à jour de app.py

app.py

@@ -0,0 +1,136 @@
+from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+import datetime
+import requests
+import pytz
+import yaml
+import os
+import sys 
+import subprocess  # Ajout de l'import manquant pour ShellCommandTool
+import io
+import json
+from huggingface_hub import HfApi
+from tools.final_answer import FinalAnswerTool
+from tools.visit_webpage import VisitWebpageTool
+from tools.web_search import DuckDuckGoSearchTool
+from Gradio_UI import GradioUI
+from smolagents.models import OpenAIServerModel
+from tools.create_file_tool import CreateFileTool
+from tools.modify_file_tool import ModifyFileTool
+
+# 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 ?"
+
+# Below is an example of a tool that does nothing. Amaze us with your creativity !
+@tool
+def get_current_realtime()-> 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 get the current realtime
+    """
+    return datetime.datetime.now()
+@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)}"
+
+
+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' è
+
+# model = HfApiModel(
+#     model_id="http://192.168.1.141:1234/v1",
+#     max_new_tokens=2096,
+#     temperature=0.5
+# )
+# Configuration du modèle pour se connecter au LLM hébergé localement via LMStudio
+model = OpenAIServerModel(
+    api_base ="http://192.168.1.141:1234/v1",
+    model_id="Qwen/Qwen2.5-Coder-14B-Instruct-GGUF",  # Nom arbitraire pour le modèle local
+    api_key="sk-dummy-key"  # Clé factice pour LMStudio
+    # max_tokens=2096,
+
+)
+
+# 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)
+    
+# Tentative de correction pour ShellCommandTool
+try:
+    from tools.shell_tool import ShellCommandTool
+    shell_tool = ShellCommandTool()
+except Exception as e:
+    print(f"Erreur lors du chargement de ShellCommandTool: {e}")
+    # Créer une version simplifiée de l'outil si nécessaire
+    shell_tool = None
+
+agent = CodeAgent(
+    model=model,
+    tools=[final_answer, DuckDuckGoSearchTool(), VisitWebpageTool(), CreateFileTool(), ModifyFileTool()],
+    max_steps=6,
+    verbosity_level=1,
+    grammar=None,
+    planning_interval=None,
+    name=None,
+    description=None,
+    prompt_templates=prompt_templates
+)
+
+# Ajouter ShellCommandTool conditionnellement
+if shell_tool is not None:
+    agent.tools['shell_command'] = shell_tool
+
+# Sauvegarder manuellement sans utiliser to_dict() pour éviter les erreurs de validation
+agent_data = {
+    "name": agent.name,
+    "description": agent.description,
+    "model": agent.model.to_dict() if hasattr(agent.model, "to_dict") else str(agent.model),
+    "tools": [tool.__class__.__name__ for tool in agent.tools.values()],
+    "max_steps": agent.max_steps,
+    "grammar": agent.grammar,
+    "planning_interval": agent.planning_interval,
+}
+
+# Sauvegarder l'agent au format JSON personnalisé
+with open("agent.json", "w", encoding="utf-8") as f:
+    json.dump(agent_data, f, ensure_ascii=False, indent=2)
+
+# La méthode push_to_hub pose problème avec les emojis, utiliser plutôt le script push_to_hf.py
+print("Agent sauvegardé dans agent.json. Utilisez push_to_hf.py pour le pousser sur Hugging Face.")
+
+# Utiliser l'API Hugging Face directement avec encodage UTF-8
+# try:
+#     api = HfApi()
+#     api.upload_file(
+#         path_or_fileobj="agent.json",
+#         path_in_repo="agent.json",
+#         repo_id="KebabLover/SmolCoderAgent_0_1",
+#         repo_type="space",
+#         commit_message="Mise à jour de l'agent"
+#     )
+#     print("Agent poussé avec succès vers Hugging Face!")
+# except Exception as e:
+#     print(f"Erreur lors du push vers Hugging Face: {e}")
+
+# GradioUI(agent).launch()