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Update app.py
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app.py
CHANGED
@@ -3,22 +3,32 @@ import gradio as gr
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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"
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# --- Basic Agent Definition ---
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# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
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class BasicAgent:
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def __init__(self):
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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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"""
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Fetches all questions, runs the BasicAgent on them, submits all answers,
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@@ -40,7 +50,11 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
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# 1. Instantiate Agent ( modify this part to create your agent)
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try:
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agent =
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except Exception as e:
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print(f"Error instantiating agent: {e}")
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return f"Error initializing agent: {e}", None
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@@ -80,7 +94,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
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print(f"Skipping item with missing task_id or question: {item}")
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continue
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try:
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submitted_answer = agent(question_text)
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answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
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results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
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except Exception as e:
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import requests
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import inspect
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import pandas as pd
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from smolagents import CodeAgent, GoogleSearchTool, VisitWebpageTool, LiteLLMModel, ToolCallingAgent, tool, WikipediaSearchTool
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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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os.environ['MISTRAL_API_KEY'] = "pP4zBHul9WEk7msQNymtXby3yxhy38it"
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model = LiteLLMModel(
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model_id="mistral/mistral-large-latest"
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)
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# --- Basic Agent Definition ---
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# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
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class BasicAgent:
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def __init__(self):
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agent = ToolCallingAgent(
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tools=[DuckDuckGoSearchTool(), VisitWebpageTool()],
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model=model
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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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"""
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Fetches all questions, runs the BasicAgent on them, submits all answers,
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# 1. Instantiate Agent ( modify this part to create your agent)
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try:
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agent = ToolCallingAgent(
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tools=[GoogleSearchTool(), VisitWebpageTool(), WikipediaSearchTool],
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model=model
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)
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except Exception as e:
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print(f"Error instantiating agent: {e}")
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return f"Error initializing agent: {e}", None
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print(f"Skipping item with missing task_id or question: {item}")
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continue
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try:
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submitted_answer = agent.run(question_text)
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answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
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results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
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except Exception as e:
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