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Update app.py
Browse files
app.py
CHANGED
@@ -1,15 +1,13 @@
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import os
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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 smolagents import OpenAIServerModel
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from smolagents import CodeAgent, Tool, tool
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from smolagents import DuckDuckGoSearchTool, VisitWebpageTool
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from smolagents import PythonInterpreterTool
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from requests.exceptions import HTTPError # Import HTTPError for specific exception handling
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# --- Constants ---
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DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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@@ -79,12 +77,13 @@ class GaiaAgent(CodeAgent):
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# Define the tools available to the agent
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agent_tools = [
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python_interpreter_tool,
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gaia_file_tool_instance,
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duckduckgo_search_tool,
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visit_webpage_tool
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]
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print("GaiaAgent initialized successfully with Gemini Flash and built-in tools.")
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def __call__(self, question: str) -> str:
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@@ -122,13 +121,12 @@ class GaiaAgent(CodeAgent):
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for attempt in range(max_retries):
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try:
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result = self.run(prompt)
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print(f"Agent raw output from self.run():\n{result}")
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break # Break loop if successful
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except HTTPError as e:
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if e.response.status_code == 429:
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error_details = ""
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try:
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# Attempt to parse more specific error details from the response
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error_json = e.response.json()
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if 'error' in error_json and 'details' in error_json['error']:
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for detail in error_json['error']['details']:
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@@ -137,7 +135,7 @@ class GaiaAgent(CodeAgent):
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quota_id = detail.get('quotaId', 'N/A')
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quota_value = detail.get('quotaValue', 'N/A')
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error_details = f"Quota Metric: {quota_metric}, Quota ID: {quota_id}, Value: {quota_value}. "
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break
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except Exception as parse_error:
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print(f"Could not parse detailed error from 429 response: {parse_error}")
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error_details = "Check Google Cloud Console for details. "
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@@ -151,12 +149,10 @@ class GaiaAgent(CodeAgent):
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)
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print(error_message)
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time.sleep(retry_delay)
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retry_delay *= 2
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else:
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# Re-raise other HTTP errors
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raise
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except Exception as e:
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# Log the full traceback for better debugging
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import traceback
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print(f"--- Error during agent execution on attempt {attempt + 1}/{max_retries}: {e}")
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traceback.print_exc()
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@@ -165,7 +161,7 @@ class GaiaAgent(CodeAgent):
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time.sleep(retry_delay)
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retry_delay *= 2
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else:
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return "Agent encountered an error and could not provide an answer after multiple retries."
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if result is None:
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return "Agent failed after multiple retries due to an unknown error or persistent rate limits."
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@@ -206,7 +202,7 @@ class GaiaAgent(CodeAgent):
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return cleaned_output.strip()
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# --- Gradio Application Logic
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def run_and_submit_all(profile: gr.OAuthProfile | None):
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"""
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import os
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import gradio as gr
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import requests
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import pandas as pd
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from smolagents import OpenAIServerModel
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from smolagents import CodeAgent, Tool, tool
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from smolagents import DuckDuckGoSearchTool, VisitWebpageTool
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from smolagents import PythonInterpreterTool
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import time
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from requests.exceptions import HTTPError
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# --- Constants ---
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DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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# Define the tools available to the agent
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agent_tools = [
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python_interpreter_tool,
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gaia_file_tool_instance,
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duckduckgo_search_tool,
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visit_webpage_tool
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]
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# Set verbosity_level directly to 2 for DEBUG logs
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super().__init__(model=self.llm_model, tools=agent_tools, verbosity_level=2)
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print("GaiaAgent initialized successfully with Gemini Flash and built-in tools.")
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def __call__(self, question: str) -> str:
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for attempt in range(max_retries):
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try:
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result = self.run(prompt)
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print(f"Agent raw output from self.run():\n{result}")
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break # Break loop if successful
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except HTTPError as e:
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if e.response.status_code == 429:
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error_details = ""
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try:
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error_json = e.response.json()
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if 'error' in error_json and 'details' in error_json['error']:
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for detail in error_json['error']['details']:
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quota_id = detail.get('quotaId', 'N/A')
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quota_value = detail.get('quotaValue', 'N/A')
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error_details = f"Quota Metric: {quota_metric}, Quota ID: {quota_id}, Value: {quota_value}. "
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break
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except Exception as parse_error:
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print(f"Could not parse detailed error from 429 response: {parse_error}")
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error_details = "Check Google Cloud Console for details. "
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)
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print(error_message)
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time.sleep(retry_delay)
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retry_delay *= 2
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else:
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raise
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except Exception as e:
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import traceback
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print(f"--- Error during agent execution on attempt {attempt + 1}/{max_retries}: {e}")
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traceback.print_exc()
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time.sleep(retry_delay)
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retry_delay *= 2
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else:
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return "Agent encountered an error and could not provide an answer after multiple retries."
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if result is None:
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return "Agent failed after multiple retries due to an unknown error or persistent rate limits."
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return cleaned_output.strip()
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# --- Gradio Application Logic ---
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def run_and_submit_all(profile: gr.OAuthProfile | None):
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"""
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