Update app.py

app.py

@@ -1,69 +1,90 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, HfApiModel, load_tool, tool
 import datetime
-import requests
 import pytz
 import yaml
+import whisper
 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: Convert time between time zones
+@tool
+def convert_time(time_str: str, from_tz: str, to_tz: str) -> str:
+    """Convert time from one timezone to another.
+    Args:
+        time_str: Time in 'YYYY-MM-DD HH:MM:SS' format.
+        from_tz: Original timezone.
+        to_tz: Target timezone.
+    """
+    try:
+        from_zone = pytz.timezone(from_tz)
+        to_zone = pytz.timezone(to_tz)
+        local_time = datetime.datetime.strptime(time_str, "%Y-%m-%d %H:%M:%S")
+        local_time = from_zone.localize(local_time)
+        converted_time = local_time.astimezone(to_zone).strftime("%Y-%m-%d %H:%M:%S")
+        return f"Time in {to_tz}: {converted_time}"
+    except Exception as e:
+        return f"Error converting time: {str(e)}"
+
+
+# Tool: Assign alerts to departments based on keywords
 @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 assign_alert(alert_message: str) -> str:
+    """Assign an alert to a department based on keywords.
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        alert_message: The alert description.
     """
-    return "What magic will you build ?"
+    alert_keywords = {
+        "network": "Network Operations",
+        "server": "Infrastructure",
+        "database": "Database Team",
+        "security": "Security Operations",
+        "application": "Development Team"
+    }
+    for keyword, department in alert_keywords.items():
+        if keyword.lower() in alert_message.lower():
+            return f"Alert assigned to: {department}"
+    return "Alert could not be assigned automatically. Please check manually."
+
 
+# Tool: Transcribe audio and generate a timeline
 @tool
-def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+def transcribe_audio(audio_path: str) -> str:
+    """Transcribe audio and log events with timestamps.
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        audio_path: Path to the audio file.
     """
     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}"
+        model = whisper.load_model("base")
+        result = model.transcribe(audio_path)
+        transcript = result["text"]
+        timestamped_events = [f"{datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')} - {line}" for line in transcript.split('.')]
+        return "\n".join(timestamped_events)
     except Exception as e:
-        return f"Error fetching time for timezone '{timezone}': {str(e)}"
+        return f"Error transcribing audio: {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' 
-
 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,
+    max_tokens=2096,
+    temperature=0.5,
+    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+    custom_role_conversions=None,
 )
 
-
-# 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)
-    
+
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer, convert_time, assign_alert, transcribe_audio],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
-    name=None,
-    description=None,
+    name="Monitoring Assistant",
+    description="An agent that helps with alert assignment, time conversion, monitoring tasks, and real-time transcription.",
     prompt_templates=prompt_templates
 )
 
-
-GradioUI(agent).launch()
+GradioUI(agent).launch()