Spaces:
Sleeping
Sleeping
Victoria Shevchenko commited on
Commit ·
050d686
1
Parent(s): 3d1237b
new tools + timezone tool in agent
Browse files
app.py
CHANGED
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@@ -1,11 +1,15 @@
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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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# Below is an example of a tool that does nothing. Amaze us with your creativity !
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@tool
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@@ -18,6 +22,46 @@ def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return
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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_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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@@ -51,7 +95,7 @@ with open("prompts.yaml", 'r') as 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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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
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import datetime
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import fitz
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import requests
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import spacy
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import pandas as pd
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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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nlp = spacy.load("en_core_web_sm")
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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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"""
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return "What magic will you build ?"
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@tool
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def extract_text_from_pdf(pdf_path):
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"""A tool that extracts text from a PDF file.
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Args:
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pdf_path: A string representing the path to the PDF file.
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"""
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document = fitz.open(pdf_path)
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text = ""
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# Iterate through each page
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for page_num in range(len(document)):
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page = document.load_page(page_num)
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text += page.get_text()
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return text
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@tool
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def extract_entities(text, desired_entities):
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# Process the text with spaCy
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doc = nlp(text)
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# Extract entities that match the desired types
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entities = [(ent.text, ent.label_) for ent in doc.ents if ent.label_ in desired_entities]
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return entities
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@tool
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def create_table_with_specific_entities(text, desired_entities):
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# Extract specific entities
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entities = extract_entities(text, desired_entities)
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# Create a DataFrame with desired entities as columns
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df = pd.DataFrame(columns=desired_entities)
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# Populate the DataFrame with entity values
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for entity, label in entities:
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df.loc[len(df), label] = entity
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return df
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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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agent = CodeAgent(
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model=model,
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tools=[get_current_time_in_timezone, 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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