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Update app.py
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app.py
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@@ -7,12 +7,20 @@ import pandas as pd
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from smolagents import CodeAgent, InferenceClientModel, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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from huggingface_hub import InferenceClient
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import json
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from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
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api_url = "https://agents-course-unit4-scoring.hf.space"
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questions_url = f"{api_url}/questions"
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submit_url = f"{api_url}/submit"
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def load_questions_from_file(filepath="questions.json"):
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try:
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@@ -38,14 +46,16 @@ def load_questions_from_file(filepath="questions.json"):
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#Model
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#Agent
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#
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def run_and_submit_one():
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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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from smolagents import CodeAgent, InferenceClientModel, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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from huggingface_hub import InferenceClient
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import json
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api_url = "https://agents-course-unit4-scoring.hf.space"
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questions_url = f"{api_url}/questions"
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submit_url = f"{api_url}/submit"
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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 load_questions_from_file(filepath="questions.json"):
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try:
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#Model
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#Agent
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#
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def run_and_submit_one():
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# 1. Instantiate Agent ( modify this part to create your agent)
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try:
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agent = BasicAgent()
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except Exception as e:
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print(f"Error instantiating agent: {e}")
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