Commit
·
7e2c9ef
1
Parent(s):
007e18f
added reverse tools
Browse files- app.py +55 -18
- requirements.txt +2 -1
- tools.py +1 -0
app.py
CHANGED
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@@ -3,7 +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 smolagents import CodeAgent, InferenceClientModel, DuckDuckGoSearchTool, tool
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from smolagents import OpenAIServerModel
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from tools import analyze_image, get_youtube_transcript, reverse_text
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@@ -23,6 +23,41 @@ class BasicAgent:
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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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@@ -46,22 +81,24 @@ 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 = BasicAgent()
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openai_41mini_model = OpenAIServerModel(
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search_tool = DuckDuckGoSearchTool()
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my_small_agent = CodeAgent(
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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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@@ -102,7 +139,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
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continue
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try:
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#submitted_answer = agent(question_text)
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submitted_answer =
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answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
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results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
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except Exception as e:
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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 CodeAgent, InferenceClientModel, DuckDuckGoSearchTool, tool, ToolCallingAgent, MultiAgent
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from smolagents import OpenAIServerModel
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from tools import analyze_image, get_youtube_transcript, reverse_text
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print(f"Agent returning fixed answer: {fixed_answer}")
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return fixed_answer
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openai_41mini_model = OpenAIServerModel(
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model_id="gpt-4.1-mini",
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api_base="https://api.openai.com/v1",
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api_key=os.environ["OPENAI_API_KEY"],
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)
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search_tool = DuckDuckGoSearchTool()
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analyst = CodeAgent(
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model=openai_41mini_model,
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tools=[reverse_text],
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add_base_tools=False,
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system_prompt=(
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"You are the Analyst, skilled at decoding mysterious or reversed text. "
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"When given a message, use your tools to reveal its correct form."
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)
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)
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historian = ToolCallingAgent(
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model=openai_41mini_model,
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add_base_tools=False,
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system_prompt=(
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"You are the Historian. If a message seems written backward, consult the Analyst to decode it. "
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"Otherwise, answer directly in clear language."
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)
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)
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universal_agent = CodeAgent(
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model=openai_41mini_model,
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tools=[search_tool, analyze_image, get_youtube_transcript],
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name="web_agent",
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description="Use search engine to find webpages related to a subject and get the page content",
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additional_authorized_imports=["pandas", "numpy", "bs4"],
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verbosity_level=1,
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max_steps=7,
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)
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def run_and_submit_all( profile: gr.OAuthProfile | None):
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"""
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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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# openai_41mini_model = OpenAIServerModel(
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# model_id="gpt-4.1-mini",
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# api_base="https://api.openai.com/v1",
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# api_key=os.environ["OPENAI_API_KEY"],
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# )
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# search_tool = DuckDuckGoSearchTool()
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# my_small_agent = CodeAgent(
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# model=openai_41mini_model,
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# tools=[search_tool, analyze_image, get_youtube_transcript, reverse_text],
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# name="web_agent",
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# description="Use search engine to find webpages related to a subject and get the page content",
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# #additional_authorized_imports=["pandas", "numpy","bs4"],
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# verbosity_level=1,
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# max_steps=7,
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# )
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team = MultiAgent([historian, analyst, universal_agent])
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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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continue
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try:
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#submitted_answer = agent(question_text)
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submitted_answer = team.run(question_text)
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answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
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results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
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except Exception as e:
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requirements.txt
CHANGED
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@@ -3,4 +3,5 @@ requests
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smolagents
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ddgs
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openai
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-
youtube_transcript_api
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smolagents
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ddgs
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openai
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youtube_transcript_api
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beautifulsoup4
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tools.py
CHANGED
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@@ -57,3 +57,4 @@ def reverse_text(question: str) -> str:
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reversed_candidate = question[::-1]
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return reversed_candidate
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return "Text seems normal."
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reversed_candidate = question[::-1]
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return reversed_candidate
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return "Text seems normal."
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