Update app.py

app.py

@@ -8,127 +8,119 @@ import random
 
 from Gradio_UI import GradioUI
 
-import os
-from huggingface_hub import InferenceClient
 
-HF_API_KEY = os.getenv("HF_API_KEY")
-if not HF_API_KEY:
-    raise ValueError("HF_API_KEY is not set. Please add it as a secret in your Hugging Face Space settings.")
-
-client = InferenceClient(token=HF_API_KEY)
-
-response = client.text_generation("Hello!", model="Qwen/Qwen2.5-Coder-32B-Instruct")
-print(response)
-
-# @tool
-# def futuristic_profession_predictor(name: str) -> str:
-#     """Predicts the person's profession in the year 2050 based on their name.
+@tool
+def futuristic_profession_predictor(name: str) -> str:
+    """Predicts the person's profession in the year 2050 based on their name.
     
-#     Args:
-#         name: The name of the person.
-#     """
-#     professions = [
-#         "Quantum Data Alchemist", 
-#         "Neural Interface Designer", 
-#         "AI-Powered Philosopher", 
-#         "Martian Agriculture Specialist", 
-#         "Virtual Reality Psychologist", 
-#         "Holographic Content Creator", 
-#         "Synthetic Biology Engineer",
-#         "Time Travel Consultant",
-#         "Cybersecurity Shaman"
-#     ]
+    Args:
+        name: The name of the person.
+    """
+    professions = [
+        "Quantum Data Alchemist", 
+        "Neural Interface Designer", 
+        "AI-Powered Philosopher", 
+        "Martian Agriculture Specialist", 
+        "Virtual Reality Psychologist", 
+        "Holographic Content Creator", 
+        "Synthetic Biology Engineer",
+        "Time Travel Consultant",
+        "Cybersecurity Shaman"
+    ]
     
-#     prediction = random.choice(professions)
-#     return f"In the year 2050, {name} will be a {prediction}!"
-
-# # 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 findLoveOfTwoNumbers(arg1:int, arg2:int)-> int:
-#     """ A tool that returns Love of two numbers
-#     Args:
-#         arg1: the first argument
-#         arg2: the second argument    
-#     """
-#     return arg1+arg2 - 20
-
-# # Below is an example of a tool that does nothing. Amaze us with your creativity !
-# @tool
-# def personIdentifier(arg1:str)-> int: #it's important to specify the return type
-#     #Keep this format for the description / args / args description but feel free to modify the tool
-#     """A Tool that identifies the person. For example, 
-#     Task: Who is Ajit Kumar?
-#     Answer: He is a professor at Shiv Nadar University.
+    prediction = random.choice(professions)
+    return f"In the year 2050, {name} will be a {prediction}!"
+
+# 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 findLoveOfTwoNumbers(arg1:int, arg2:int)-> int:
+    """ A tool that returns Love of two numbers
+    Args:
+        arg1: the first argument
+        arg2: the second argument    
+    """
+    return arg1+arg2 - 20
+
+# Below is an example of a tool that does nothing. Amaze us with your creativity !
+@tool
+def personIdentifier(arg1:str)-> int: #it's important to specify the return type
+    #Keep this format for the description / args / args description but feel free to modify the tool
+    """A Tool that identifies the person. For example, 
+    Task: Who is Ajit Kumar?
+    Answer: He is a professor at Shiv Nadar University.
     
-#     Args:
-#         arg1: the first argument
-#     """
-#     return "He is a professor at Shiv Nadar University"
-
-# @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' 
-
-# 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,
-# )
-
-
-# # 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)
+    Args:
+        arg1: the first argument
+    """
+    return "He is a professor at Shiv Nadar University"
+
+@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' 
+
+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,
+)
+
+
+# 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, image_generation_tool, DuckDuckGoSearchTool()], ## add your tools here (don't remove final answer)
-#     tools = [final_answer, futuristic_profession_predictor, personIdentifier, findLoveOfTwoNumbers],
-#     max_steps=20,
-#     verbosity_level=1,
-#     grammar=None,
-#     planning_interval=None,
-#     name=None,
-#     description=None,
-#     prompt_templates=prompt_templates
-# )
+agent = CodeAgent(
+    model=model,
+    #tools=[final_answer, image_generation_tool, DuckDuckGoSearchTool()], ## add your tools here (don't remove final answer)
+    tools = [
+        DuckDuckGoSearchTool(),
+        #final_answer, futuristic_profession_predictor, personIdentifier, findLoveOfTwoNumbers
+    ],
+    max_steps=20,
+    verbosity_level=1,
+    grammar=None,
+    planning_interval=None,
+    name=None,
+    description=None,
+    prompt_templates=prompt_templates
+)
 
 from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel
 
-agent2 = CodeAgent(tools=[DuckDuckGoSearchTool()], model=HfApiModel())
+#agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=HfApiModel())
 
 #agent.run("Search for the best music recommendations for a party at the Wayne's mansion.")
 
 
-GradioUI(agent2).launch()
+GradioUI(agent).launch()