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Update app.py
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app.py
CHANGED
@@ -1,31 +1,44 @@
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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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import pandas as pd
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import numpy as np
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from smolagents import CodeAgent, HfApiModel, load_tool, tool
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from tools.final_answer import FinalAnswerTool
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from tools.visit_webpage import VisitWebpageTool
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from web import search # 使用 web.search() 來替代 DuckDuckGoSearchTool
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from Gradio_UI import GradioUI
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final_answer = FinalAnswerTool()
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visit_webpage = VisitWebpageTool()
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@tool
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def get_crypto_price(crypto: str, currency: str) -> str:
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"""
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Args:
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crypto: The cryptocurrency symbol (e.g., 'bitcoin', 'ethereum').
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currency: The fiat currency (e.g., 'usd', 'twd').
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Returns:
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The current price of the cryptocurrency in the specified currency.
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"""
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url = f"https://api.coingecko.com/api/v3/simple/price?ids={crypto}&vs_currencies={currency}"
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try:
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response =
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response.raise_for_status()
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data = response.json()
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price = data.get(crypto, {}).get(currency, "N/A")
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@@ -35,13 +48,15 @@ def get_crypto_price(crypto: str, currency: str) -> str:
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@tool
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def get_crypto_history(crypto: str, currency: str, days: int) -> str:
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"""
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Args:
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crypto: The cryptocurrency symbol (e.g., 'bitcoin', 'ethereum').
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currency: The fiat currency (e.g., 'usd', 'twd').
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days: The number of past days to retrieve.
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Returns:
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A list of historical prices.
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"""
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url = f"https://api.coingecko.com/api/v3/coins/{crypto}/market_chart?vs_currency={currency}&days={days}&interval=daily"
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try:
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@@ -55,40 +70,81 @@ def get_crypto_history(crypto: str, currency: str, days: int) -> str:
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prices_str = "\n".join([f"Date: {pd.to_datetime(p[0], unit='ms').date()}, Price: {p[1]:.2f} {currency}" for p in prices])
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return f"Historical prices for {crypto} in {currency} over {days} days:\n{prices_str}"
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except requests.RequestException as e:
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return f"Error fetching historical data: {e}"
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@tool
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def
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"""
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Args:
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Returns:
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"""
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try:
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except Exception as e:
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return f"Error
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# 設置模型
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model = HfApiModel(
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)
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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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prompt_templates=prompt_templates
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)
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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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import pandas as pd
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import numpy as np
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from tools.final_answer import FinalAnswerTool
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from tools.visit_webpage import VisitWebpageTool
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from Gradio_UI import GradioUI
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final_answer = FinalAnswerTool()
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visit_webpage = VisitWebpageTool()
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web_search = DuckDuckGoSearchTool()
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# Below is an example of a tool that does nothing. Amaze us with your creativity !
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@tool
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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 get_crypto_price(crypto: str, currency: str) -> str:
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"""A tool to fetch real-time cryptocurrency prices from CoinGecko API.
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Args:
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crypto: The cryptocurrency symbol (e.g., 'bitcoin', 'ethereum').
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currency: The fiat currency (e.g., 'usd', 'twd').
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Returns:
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The current price of the cryptocurrency in the specified currency.
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"""
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url = f"https://api.coingecko.com/api/v3/simple/price?ids={crypto}&vs_currencies={currency}"
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try:
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response = web_search(url)
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response.raise_for_status()
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data = response.json()
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price = data.get(crypto, {}).get(currency, "N/A")
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@tool
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def get_crypto_history(crypto: str, currency: str, days: int) -> str:
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"""A tool to fetch historical cryptocurrency prices from CoinGecko API.
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Args:
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crypto: The cryptocurrency symbol (e.g., 'bitcoin', 'ethereum').
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currency: The fiat currency (e.g., 'usd', 'twd').
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days: The number of past days to retrieve (e.g., 30 for the past month).
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Returns:
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A list of historical prices over the specified time period.
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"""
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url = f"https://api.coingecko.com/api/v3/coins/{crypto}/market_chart?vs_currency={currency}&days={days}&interval=daily"
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try:
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prices_str = "\n".join([f"Date: {pd.to_datetime(p[0], unit='ms').date()}, Price: {p[1]:.2f} {currency}" for p in prices])
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return f"Historical prices for {crypto} in {currency} over {days} days:\n{prices_str}"
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except requests.RequestException as e:
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return f"Error fetching historical data: {e}"
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@tool
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def get_crypto_moving_average(crypto: str, currency: str, days: int, window: int) -> str:
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"""A tool to compute the moving average of cryptocurrency prices.
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Args:
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crypto: The cryptocurrency symbol (e.g., 'bitcoin', 'ethereum').
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currency: The fiat currency (e.g., 'usd', 'twd').
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days: The number of past days to retrieve.
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window: The moving average window size (e.g., 7 for 7-day SMA).
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Returns:
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A list of moving average values.
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"""
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url = f"https://api.coingecko.com/api/v3/coins/{crypto}/market_chart?vs_currency={currency}&days={days}&interval=daily"
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try:
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response = requests.get(url)
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response.raise_for_status()
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data = response.json()
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prices = data.get("prices", [])
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if not prices or len(prices) < window:
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return "Not enough data for moving average calculation."
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df = pd.DataFrame(prices, columns=["timestamp", "price"])
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df["date"] = pd.to_datetime(df["timestamp"], unit="ms").dt.date
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df["sma"] = df["price"].rolling(window=window).mean()
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moving_avg_str = "\n".join([f"Date: {df['date'][i]}, SMA: {df['sma'][i]:.2f} {currency}" for i in range(len(df)) if not np.isnan(df['sma'][i])])
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return f"Moving Average (window={window}) for {crypto} in {currency} over {days} days:\n{moving_avg_str}"
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except requests.RequestException as e:
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return f"Error fetching historical data: {e}"
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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Args:
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timezone: A string representing a valid timezone (e.g., 'America/New_York').
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"""
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try:
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# Create timezone object
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tz = pytz.timezone(timezone)
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# Get current time in that timezone
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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return f"The current local time in {timezone} is: {local_time}"
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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final_answer = FinalAnswerTool()
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# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
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# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' ,'Qwen/Qwen2.5-Coder-32B-Instruct'
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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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',# it is possible that this model may be overloaded
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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], ## add your tools here (don't remove 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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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch()
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