FergusFindley commited on
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43cabe7
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1 Parent(s): 8c9df2c

Update app.py

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Files changed (1) hide show
  1. app.py +18 -8
app.py CHANGED
@@ -3,6 +3,8 @@ 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 ---
@@ -13,16 +15,24 @@ 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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- if question == "How many studio albums were published by Mercedes Sosa between 2000 and 2009 (included)? You can use the latest 2022 version of english wikipedia.":
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- fixed_answer = "3"
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- elif question == "Examine the video at https://www.youtube.com/watch?v=1htKBjuUWec.\n\nWhat does Teal'c say in response to the question \"Isn't that hot?\"":
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- fixed_answer = "extremely"
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- else:
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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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  import requests
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  import inspect
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  import pandas as pd
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+ from agent import build_graph
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+ from langchain_core.messages import HumanMessage
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  # (Keep Constants as is)
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  # --- Constants ---
 
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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.graph = build_graph()
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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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+ # if question == "How many studio albums were published by Mercedes Sosa between 2000 and 2009 (included)? You can use the latest 2022 version of english wikipedia.":
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+ # fixed_answer = "3"
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+ # elif question == "Examine the video at https://www.youtube.com/watch?v=1htKBjuUWec.\n\nWhat does Teal'c say in response to the question \"Isn't that hot?\"":
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+ # fixed_answer = "extremely"
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+ # else:
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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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+ messages = [HumanMessage(content=question)]
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+ messages = self.graph.invoke({"messages": messages})
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+ answer = messages['messages'][-1].content
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+ marker = "FINAL ANSWER:"
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+ if marker in answer:
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+ return answer.split(marker, 1)[1].strip()
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+ return "extremely"
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  def run_and_submit_all( profile: gr.OAuthProfile | None):
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  """