Update app.py
Browse files
app.py
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@@ -4,23 +4,34 @@ import requests
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import inspect
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import pandas as pd
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from smolagents import CodeAgent, DuckDuckGoSearchTool, FinalAnswerTool, InferenceClientModel, Tool, tool, VisitWebpageTool, HfApiModel
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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("BasicAgent initialized.")
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self.
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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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print(f"Agent returning fixed answer: {answer}")
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return fixed_answer
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import inspect
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import pandas as pd
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from smolagents import CodeAgent, DuckDuckGoSearchTool, FinalAnswerTool, InferenceClientModel, Tool, tool, VisitWebpageTool, HfApiModel
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from groq import Groq
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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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GROQ_KEY = os.environ['GROQ_KEY']
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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("BasicAgent initialized.")
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self.client = Groq(api_key=GROQ_KEY)
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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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message = [{
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"role": "user",
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"content": question
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}]
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completion = client.chat.completions.create(
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messages=message
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# Change model to compound-beta to use agentic tooling
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# model: "llama-3.3-70b-versatile",
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model="compound-beta-mini",
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)
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print(completion.choices[0].message.content)
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print(f"Agent returning fixed answer: {answer}")
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return fixed_answer
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