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Update app.py
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app.py
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
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import datetime
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import requests
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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#
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def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
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#Keep this format for the description / args / args description but feel free to modify the tool
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"""A tool that does nothing yet
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Args:
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arg1: the first argument
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arg2: the second argument
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"""
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return "What magic will you build ?"
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@tool
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def
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"""
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Args:
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"""
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try:
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#
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final_answer = FinalAnswerTool()
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#
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# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct'
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custom_role_conversions=None,
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)
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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agent = CodeAgent(
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model=model,
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tools=[final_answer],
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name=
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description=
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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch()
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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import datetime
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import requests
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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# Bhagavad Gita API Endpoint
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BHAGAVAD_GITA_API = "https://bhagavadgitaapi.in/verses"
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@tool
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def get_bhagavad_gita_answer(problem: str) -> str:
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"""
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A tool that fetches relevant Bhagavad Gita verses based on a user's problem or life question.
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Args:
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problem: The problem or concern stated by the user.
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Returns:
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A verse from the Bhagavad Gita with its meaning and explanation.
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"""
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try:
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# Send request to Bhagavad Gita API
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response = requests.get(BHAGAVAD_GITA_API)
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if response.status_code == 200:
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verses = response.json() # Get all verses
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relevant_verse = verses.get("verses")[0] # Fetch first relevant verse
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verse_text = relevant_verse.get("text", "Verse not available")
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meaning = relevant_verse.get("translation", "Meaning not found")
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chapter = relevant_verse.get("chapter", "Unknown")
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verse_number = relevant_verse.get("verse", "Unknown")
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return (f"**Bhagavad Gita - Chapter {chapter}, Verse {verse_number}**\n\n"
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f"📖 *{verse_text}*\n\n"
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f"🔍 **Meaning:** {meaning}\n\n"
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f"☸️ **Relevance to your problem:** This verse provides wisdom on how to approach challenges.")
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else:
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return "Sorry, I couldn't fetch a relevant verse at the moment. Please try again later."
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except Exception as e:
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return f"Error fetching Bhagavad Gita teachings: {str(e)}"
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# Final Answer Tool
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final_answer = FinalAnswerTool()
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# Hugging Face Model
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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custom_role_conversions=None,
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)
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# Import tool from Hugging Face Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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# Code Agent Setup
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agent = CodeAgent(
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model=model,
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tools=[final_answer, get_bhagavad_gita_answer], # Added Bhagavad Gita tool
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name="Bhagavad Gita AI",
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description="A spiritual guide using Bhagavad Gita teachings to solve life's problems.",
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prompt_templates=prompt_templates
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)
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# Launch Gradio UI
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GradioUI(agent).launch()
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