Update app.py

app.py

@@ -7,7 +7,6 @@ import os
 from tools.final_answer import FinalAnswerTool
 from Gradio_UI import GradioUI
 from typing import Optional, List
-import requests
 from datetime import datetime, timedelta
 
 # Set up OpenWeather API key
@@ -24,15 +23,14 @@ def get_weather_info(city: str) -> str:
         params = {
             'q': city,
             'appid': OPENWEATHER_API_KEY,
-            'units': 'metric'  # This will get temperature in Celsius
+            'units': 'metric'
         }
         
         response = requests.get(base_url, params=params)
-        response.raise_for_status()  # Raises an HTTPError for bad responses
+        response.raise_for_status()
         
         weather_data = response.json()
         
-        # Extract relevant information
         temperature = weather_data['main']['temp']
         conditions = weather_data['weather'][0]['description']
         humidity = weather_data['main']['humidity']
@@ -45,6 +43,7 @@ def get_weather_info(city: str) -> str:
                 f"Wind Speed: {wind_speed} m/s")
     except Exception as e:
         return f"Error fetching weather for city '{city}': {str(e)}"
+
 @tool
 def crypto_tracker(action: str, crypto_id: Optional[str] = None) -> str:
     """Tracks cryptocurrency prices and changes using CoinGecko API
@@ -137,7 +136,6 @@ def crypto_tracker(action: str, crypto_id: Optional[str] = None) -> str:
                 f"Description: {data['description']['en'][:300]}..."
             )
             
-        else:
         elif action == "summary":
             # Get 24-hour summary for top 5 cryptocurrencies
             response = requests.get(
@@ -165,7 +163,7 @@ def crypto_tracker(action: str, crypto_id: Optional[str] = None) -> str:
             
             for coin in data:
                 price_change = coin['price_change_percentage_24h']
-                volume_change = (coin['total_volume'] / coin['market_cap']) * 100  # Volume/Market Cap ratio
+                volume_change = (coin['total_volume'] / coin['market_cap']) * 100
                 
                 # Determine market sentiment
                 if price_change > 5:
@@ -188,7 +186,7 @@ def crypto_tracker(action: str, crypto_id: Optional[str] = None) -> str:
                     f"   Market Sentiment: {sentiment}\n\n"
                 )
             
-            # Add significant events or thresholds crossed
+            # Add significant events
             significant_events = []
             for coin in data:
                 if abs(coin['price_change_percentage_24h']) > 10:
@@ -225,27 +223,21 @@ def get_current_time_in_timezone(timezone: str) -> str:
         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")
+        local_time = 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' 
 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
+    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:
@@ -261,7 +253,7 @@ agent = CodeAgent(
         image_generation_tool,
         get_current_time_in_timezone,
         get_weather_info,
-        cryptotracker
+        crypto_tracker  # Fixed the name here
     ],
     max_steps=6,
     verbosity_level=1,