Update app.py

app.py

@@ -1,69 +1,113 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 import datetime
 import requests
 import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
-
 from Gradio_UI import GradioUI
+from transformers import pipeline
+from geopy.distance import geodesic
 
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
+# Strumento per la traduzione
 @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 translate_text(text: str, target_lang: str) -> str:
+    """A tool that translates text into the specified language.
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        text: The text to translate.
+        target_lang: The target language code (e.g., 'en', 'fr', 'de').
     """
-    return "What magic will you build ?"
+    try:
+        translator = pipeline("translation", model="Helsinki-NLP/opus-mt-en-{target_lang}")
+        translated_text = translator(text)[0]['translation_text']
+        return translated_text
+    except Exception as e:
+        return f"Error in translation: {str(e)}"
 
+# Strumento per calcolare la distanza tra due coordinate GPS
 @tool
-def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+def calculate_distance(coord1: str, coord2: str) -> str:
+    """A tool that calculates the distance between two GPS coordinates.
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        coord1: The first coordinate in 'lat,lon' format.
+        coord2: The second coordinate in 'lat,lon' format.
     """
     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}"
+        lat1, lon1 = map(float, coord1.split(','))
+        lat2, lon2 = map(float, coord2.split(','))
+        distance_km = geodesic((lat1, lon1), (lat2, lon2)).kilometers
+        return f"The distance between {coord1} and {coord2} is {distance_km:.2f} km."
     except Exception as e:
-        return f"Error fetching time for timezone '{timezone}': {str(e)}"
+        return f"Error calculating distance: {str(e)}"
 
+# Strumento per analisi del sentimento
+@tool
+def analyze_sentiment(text: str) -> str:
+    """A tool that analyzes the sentiment of a given text.
+    Args:
+        text: The text to analyze.
+    """
+    try:
+        sentiment_analyzer = pipeline("sentiment-analysis")
+        result = sentiment_analyzer(text)[0]
+        return f"Sentiment: {result['label']} (Confidence: {result['score']:.2f})"
+    except Exception as e:
+        return f"Error in sentiment analysis: {str(e)}"
 
-final_answer = FinalAnswerTool()
+# Strumento per generare testo creativo
+@tool
+def generate_creative_text(prompt: str) -> str:
+    """A tool that generates creative text based on a given prompt.
+    Args:
+        prompt: The input prompt for text generation.
+    """
+    try:
+        generator = pipeline("text-generation", model="gpt2")
+        response = generator(prompt, max_length=100, num_return_sequences=1)
+        return response[0]['generated_text']
+    except Exception as e:
+        return f"Error in text generation: {str(e)}"
+
+# Strumento per ottenere il meteo attuale
+@tool
+def get_weather(city: str) -> str:
+    """A tool that fetches the current weather for a specified city.
+    Args:
+        city: The city name.
+    """
+    try:
+        api_key = "YOUR_OPENWEATHER_API_KEY"
+        url = f"https://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}&units=metric"
+        response = requests.get(url).json()
+        weather = response['weather'][0]['description']
+        temp = response['main']['temp']
+        return f"Current weather in {city}: {weather}, {temp}°C."
+    except Exception as e:
+        return f"Error fetching weather: {str(e)}"
 
-# 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' 
+final_answer = FinalAnswerTool()
 
 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, translate_text, calculate_distance, analyze_sentiment, generate_creative_text, get_weather],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
-    name=None,
-    description=None,
+    name="AdvancedCodeAgent",
+    description="An enhanced AI agent with additional capabilities.",
     prompt_templates=prompt_templates
 )
 
-
-GradioUI(agent).launch()
+GradioUI(agent).launch()