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Runtime error
Runtime error
fixed indentation
Browse files- __pycache__/Gradio_UI.cpython-313.pyc +0 -0
- app.py +17 -2
- prompts.yaml +0 -1
- tools/__pycache__/final_answer.cpython-313.pyc +0 -0
- tools/__pycache__/find_flight.cpython-313.pyc +0 -0
- tools/__pycache__/mood_to_need.cpython-313.pyc +0 -0
- tools/__pycache__/need_to_destination.cpython-313.pyc +0 -0
- tools/__pycache__/weather_tool.cpython-313.pyc +0 -0
- tools/mock_tools.py +81 -0
__pycache__/Gradio_UI.cpython-313.pyc
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Binary file (7.7 kB). View file
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app.py
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@@ -6,6 +6,7 @@ from tools.find_flight import FlightsFinderTool
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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import yaml
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# Initialize Claude model via Hugging Face
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model = HfApiModel(
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@@ -19,14 +20,28 @@ with open("prompts.yaml", "r") as f:
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prompt_templates = yaml.safe_load(f)
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# Define the agent with all tools
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agent = CodeAgent(
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model=model,
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tools=[
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MoodToNeedTool(), # Step 1: Mood → Need
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NeedToDestinationTool(), # Step 2: Need → Destination
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WeatherTool(), # Step 3: Weather for destination
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FlightsFinderTool(), # Step 4: Destination → Flights
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FinalAnswerTool()
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],
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max_steps=6,
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verbosity_level=1,
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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import yaml
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from tool.mock_tools import MoodToNeedTool, NeedToDestinationTool, WeatherTool, FlightsFinderTool, FinalAnswerTool
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# Initialize Claude model via Hugging Face
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model = HfApiModel(
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prompt_templates = yaml.safe_load(f)
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# Define the agent with all tools
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# agent = CodeAgent(
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# model=model,
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# tools=[
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# MoodToNeedTool(), # Step 1: Mood → Need
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# NeedToDestinationTool(), # Step 2: Need → Destination
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# WeatherTool(), # Step 3: Weather for destination
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# FlightsFinderTool(), # Step 4: Destination → Flights # Step 5: Claude wrap
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# FinalAnswerTool() # Required final output
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# ],
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# max_steps=6,
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# verbosity_level=1,
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# prompt_templates=prompt_templates
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# )
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agent = CodeAgent(
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model=model,
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tools=[
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MoodToNeedTool(), # Step 1: Mood → Need
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NeedToDestinationTool(), # Step 2: Need → Destination
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WeatherTool(), # Step 3: Weather for destination
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FlightsFinderTool(), # Step 4: Destination → Flights
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FinalAnswerTool() # Step 5: Claude wrap
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],
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max_steps=6,
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verbosity_level=1,
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prompts.yaml
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@@ -67,7 +67,6 @@ planning:
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8. Call final_answer() with all outputs.
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<end_plan>
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-
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update_facts_pre_messages: |-
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### 1. Facts given in the task
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### 2. Facts that we have learned
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8. Call final_answer() with all outputs.
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<end_plan>
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update_facts_pre_messages: |-
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### 1. Facts given in the task
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### 2. Facts that we have learned
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tools/__pycache__/final_answer.cpython-313.pyc
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Binary file (1.07 kB). View file
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tools/__pycache__/find_flight.cpython-313.pyc
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Binary file (4.53 kB). View file
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tools/__pycache__/mood_to_need.cpython-313.pyc
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Binary file (1.88 kB). View file
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tools/__pycache__/need_to_destination.cpython-313.pyc
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Binary file (3.4 kB). View file
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tools/__pycache__/weather_tool.cpython-313.pyc
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Binary file (10.4 kB). View file
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tools/mock_tools.py
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from smolagents.tools import tool
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@tool
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def mood_to_need(mood: str) -> str:
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"""
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Map a mood to a need.
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Args:
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mood (str): The current emotional state of the user.
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Returns:
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str: A description of what the user needs based on the mood.
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"""
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return "You need relaxation and nature."
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@tool
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def need_to_destination(need: str) -> str:
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"""
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Map a need to a destination.
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Args:
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need (str): The user's identified need (e.g., relaxation, adventure).
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Returns:
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str: A suggested destination that fulfills the need.
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"""
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return "Bali, Indonesia"
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@tool
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def get_weather(dest: str) -> str:
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"""
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Get weather forecast for a destination.
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Args:
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dest (str): The destination location.
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Returns:
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str: A weather forecast for the given destination.
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"""
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return "Sunny and 28°C"
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@tool
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def get_flights(dest: str) -> str:
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"""
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Get flight options for a destination.
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Args:
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dest (str): The destination location.
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Returns:
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str: A list of flight options for the destination.
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"""
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return "Flight from Paris to Bali: €600 roundtrip"
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@tool
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def final_wrap(info: str) -> str:
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"""
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Create a final wrap-up message.
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Args:
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info (str): Summary information about the destination and travel.
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Returns:
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str: A personalized wrap-up message.
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"""
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return f"Bali sounds like a perfect place for relaxation with great weather and affordable flights!"
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@tool
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def final_answer_tool(answer: str) -> str:
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"""
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Provides a final answer to the user.
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Args:
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answer (str): The final recommendation or conclusion.
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Returns:
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str: The same final answer.
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"""
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return answer
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