KPatelis commited on
Commit
4984382
·
1 Parent(s): 6e33629

Fix app agent

Browse files
Files changed (1) hide show
  1. app.py +4 -7
app.py CHANGED
@@ -3,6 +3,7 @@ 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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  from agent import agent_graph
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  # (Keep Constants as is)
@@ -43,7 +44,7 @@ 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 = agent_graph()
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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
@@ -148,15 +149,11 @@ with gr.Blocks() as demo:
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  gr.Markdown("# Basic Agent Evaluation Runner")
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  gr.Markdown(
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  """
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- **Instructions:**
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-
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- 1. Please clone this space, then modify the code to define your agent's logic, the tools, the necessary packages, etc ...
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- 2. Log in to your Hugging Face account using the button below. This uses your HF username for submission.
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- 3. Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, submit answers, and see the score.
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  ---
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  **Disclaimers:**
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- Once clicking on the "submit button, it can take quite some time ( this is the time for the agent to go through all the questions).
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  This space provides a basic setup and is intentionally sub-optimal to encourage you to develop your own, more robust solution. For instance for the delay process of the submit button, a solution could be to cache the answers and submit in a seperate action or even to answer the questions in async.
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  """
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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 langchain_core.messages import HumanMessage
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  from agent import agent_graph
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  # (Keep Constants as is)
 
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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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  return f"Error initializing agent: {e}", None
 
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  gr.Markdown("# Basic Agent Evaluation Runner")
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  gr.Markdown(
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  """
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+ Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, submit answers, and see the score.
 
 
 
 
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  ---
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  **Disclaimers:**
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+ Once clicking on the "submit button, it can take quite some time (this is the time for the agent to go through all the questions).
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  This space provides a basic setup and is intentionally sub-optimal to encourage you to develop your own, more robust solution. For instance for the delay process of the submit button, a solution could be to cache the answers and submit in a seperate action or even to answer the questions in async.
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  """
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  )