Update app.py
Browse files
app.py
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@@ -6,6 +6,8 @@ import pandas as pd
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from smolagents import OpenAIServerModel, DuckDuckGoSearchTool, CodeAgent, WikipediaSearchTool
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from smolagents.tools import Tool
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import time
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# (Keep Constants as is)
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# --- Constants ---
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@@ -13,6 +15,26 @@ 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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self.agent = CodeAgent(
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@@ -24,13 +46,25 @@ class BasicAgent:
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add_base_tools=True,
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)
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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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-
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print(f"Agent returning fixed answer: {fixed_answer}")
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return fixed_answer
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def safe_agent_call(agent, question, retries=5, wait_time=20):
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"""
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Helper function to safely call the agent with retry on rate limit errors (HTTP 429).
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from smolagents import OpenAIServerModel, DuckDuckGoSearchTool, CodeAgent, WikipediaSearchTool
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from smolagents.tools import Tool
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import time
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import openai
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from tenacity import retry, stop_after_attempt, wait_exponential, retry_if_exception_type
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# (Keep Constants as is)
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# --- Constants ---
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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 RateLimitException(Exception):
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pass
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@retry(
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reraise=True,
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stop=stop_after_attempt(10),
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wait=wait_exponential(multiplier=20, min=20, max=120),
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retry=retry_if_exception_type(RateLimitException),
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)
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def call_openai_with_retry(**kwargs):
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try:
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return openai.ChatCompletion.create(**kwargs)
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except openai.error.RateLimitError as e:
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print("Rate limit error detected. Will retry...")
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raise RateLimitException from e
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except Exception as e:
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print(f"Non-rate-limit error occurred: {e}")
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raise
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class BasicAgent:
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def __init__(self):
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self.agent = CodeAgent(
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add_base_tools=True,
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)
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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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try:
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fixed_answer = call_openai_with_retry(
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model="gpt-4o",
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messages=[
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{"role": "user", "content": question}
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],
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temperature=0.2,
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)['choices'][0]['message']['content']
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except Exception as e:
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print(f"Agent error: {e}")
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raise
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print(f"Agent returning fixed answer: {fixed_answer}")
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return fixed_answer
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def safe_agent_call(agent, question, retries=5, wait_time=20):
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"""
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Helper function to safely call the agent with retry on rate limit errors (HTTP 429).
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