Update app.py

app.py

@@ -1,69 +1,34 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
-import datetime
-import requests
-import pytz
-import yaml
-from tools.final_answer import FinalAnswerTool
+from smolagents import CodeAgent
+import re
 
-from Gradio_UI import GradioUI
-
-# 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 ?"
-
-@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)}"
+# Load agent
+agent = CodeAgent.from_config("agent.json")
 
+# --- Simple mood detection ---
+def detect_mood(text):
+    text = text.lower()
 
-final_answer = FinalAnswerTool()
+    if any(word in text for word in ["sad", "down", "upset"]):
+        return "sad"
+    elif any(word in text for word in ["bored", "nothing to do"]):
+        return "bored"
+    elif any(word in text for word in ["stress", "tired", "overwhelmed"]):
+        return "stressed"
+    elif any(word in text for word in ["happy", "excited", "great"]):
+        return "happy"
+    else:
+        return "neutral"
 
-# 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,
-)
+# --- Main response function ---
+def respond(message, personality):
+    mood = detect_mood(message)
 
+    enhanced_prompt = f"""
+    Personality Mode: {personality}
+    Detected Mood: {mood}
 
-# 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)
-    max_steps=6,
-    verbosity_level=1,
-    grammar=None,
-    planning_interval=None,
-    name=None,
-    description=None,
-    prompt_templates=prompt_templates
-)
-
+    User Message: {message}
+    """
 
-GradioUI(agent).launch()
+    return agent.run(enhanced_prompt)