Files changed (1) hide show
  1. app.py +39 -5
app.py CHANGED
@@ -4,6 +4,14 @@ import requests
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  import inspect
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  import pandas as pd
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  # (Keep Constants as is)
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  # --- Constants ---
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  DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
@@ -13,11 +21,39 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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  class BasicAgent:
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  def __init__(self):
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  print("BasicAgent initialized.")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  def __call__(self, question: str) -> str:
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  print(f"Agent received question (first 50 chars): {question[:50]}...")
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- fixed_answer = "This is a default answer."
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- print(f"Agent returning fixed answer: {fixed_answer}")
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- return fixed_answer
 
 
 
 
 
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  def run_and_submit_all( profile: gr.OAuthProfile | None):
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  """
@@ -146,11 +182,9 @@ with gr.Blocks() as demo:
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  gr.Markdown(
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  """
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  **Instructions:**
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-
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  1. Please clone this space, then modify the code to define your agent's logic, the tools, the necessary packages, etc ...
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  2. Log in to your Hugging Face account using the button below. This uses your HF username for submission.
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  3. Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, submit answers, and see the score.
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-
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  ---
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  **Disclaimers:**
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  Once clicking on the "submit button, it can take quite some time ( this is the time for the agent to go through all the questions).
 
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  import inspect
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  import pandas as pd
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+ from smolagents import (
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+ CodeAgent,
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+ ToolCallingAgent,
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+ DuckDuckGoSearchTool,
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+ VisitWebpageTool,
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+ InferenceClientModel,
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+ )
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+
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  # (Keep Constants as is)
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  # --- Constants ---
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  DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
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  class BasicAgent:
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  def __init__(self):
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  print("BasicAgent initialized.")
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+
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+ model = InferenceClientModel(model_id="Qwen/Qwen2.5-Coder-32B-Instruct")
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+
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+ web_agent = ToolCallingAgent(
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+ tools=[DuckDuckGoSearchTool(), VisitWebpageTool()],
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+ model=model,
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+ max_steps=6,
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+ name="web_search_agent",
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+ description=(
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+ "Searches the web and reads webpages to answer factual questions "
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+ "or gather up-to-date information. Give it a specific question or "
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+ "research task in plain language, and it returns a concise, "
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+ "sourced answer."
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+ ),
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+ )
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+
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+ self.agent = CodeAgent(
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+ tools=[],
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+ model=model,
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+ managed_agents=[web_agent],
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+ additional_authorized_imports=["pandas", "numpy", "json", "re"],
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+ )
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+
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  def __call__(self, question: str) -> str:
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  print(f"Agent received question (first 50 chars): {question[:50]}...")
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+ try:
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+ answer = self.agent.run(question)
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+ except Exception as e:
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+ print(f"Agent error: {e}")
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+ answer = f"Error: {e}"
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+ answer = str(answer)
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+ print(f"Agent returning answer (first 50 chars): {answer[:50]}...")
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+ return answer
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  def run_and_submit_all( profile: gr.OAuthProfile | None):
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  """
 
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  gr.Markdown(
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  """
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  **Instructions:**
 
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  1. Please clone this space, then modify the code to define your agent's logic, the tools, the necessary packages, etc ...
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  2. Log in to your Hugging Face account using the button below. This uses your HF username for submission.
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  3. Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, submit answers, and see the score.
 
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  ---
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  **Disclaimers:**
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  Once clicking on the "submit button, it can take quite some time ( this is the time for the agent to go through all the questions).