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Update app.py
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app.py
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import streamlit as st
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from crewai import Agent, Task, Crew
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from crewai import Agent
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from crewai import Task, Crew
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from langchain.tools import tool
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import requests
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import hashlib
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import schedule
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import time
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@tool
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def check_streamlit_updates(previous_hash: str) -> str:
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# URL of the Streamlit documentation
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doc_url = 'https://docs.streamlit.io/'
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# Fetch the content
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response = requests.get(doc_url)
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content = response.text
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# Hash the content
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current_hash = hashlib.md5(content.encode()).hexdigest()
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# Compare the hash with the previous hash
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if current_hash != previous_hash:
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return f'Updates found in Streamlit documentation. New Hash: {current_hash}', current_hash
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else:
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return 'No updates in Streamlit documentation.', current_hash
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# Define the Streamlit Documentation Expert agent
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streamlit_expert = Agent(
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role='Streamlit Documentation Expert',
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goal='Stay updated with the latest Streamlit documentation and notify users',
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tools=[check_streamlit_updates], # Assuming the tool is already defined and available
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verbose=True
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)
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# Define a task for periodic update checks
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update_task = Task(
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description='Check for updates in the Streamlit documentation.',
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agent=streamlit_expert
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)
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# Define a crew with the Streamlit Documentation Expert
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crew = Crew(
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agents=[streamlit_expert],
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tasks=[update_task],
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verbose=True
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)
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# This is a conceptual example and might require adjustments based on the deployment environment
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def check_for_updates():
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# Trigger the Crew to perform the update task
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# Implementation details depend on CrewAI's execution model
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crew.kickoff()
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# Schedule the task
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schedule.every().day.at("10:00").do(check_for_updates)
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while True:
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schedule.run_pending()
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time.sleep(60)
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# Define the custom tool
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@tool
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def check_streamlit_updates(previous_hash: str) -> str:
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# ... (custom tool code here)
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# Define the Streamlit Documentation Expert agent
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streamlit_expert = Agent(
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role='Streamlit Documentation Expert',
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verbose=True
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# Streamlit app setup
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st.title('CrewAI Streamlit Documentation Expert Control Panel')
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# Start CrewAI process button
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if st.button('Check Streamlit Documentation Updates'):
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#
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# ...
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# Display results
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'Select Check Frequency',
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['Daily', 'Weekly', 'Manually']
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)
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import streamlit as st
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import requests
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import hashlib
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from crewai import Agent, Task, Crew
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from langchain.tools import tool
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# Define the custom tool for checking Streamlit documentation updates
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@tool
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def check_streamlit_updates(previous_hash: str) -> str:
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doc_url = 'https://docs.streamlit.io/'
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response = requests.get(doc_url)
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content = response.text
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current_hash = hashlib.md5(content.encode()).hexdigest()
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if current_hash != previous_hash:
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return f'Updates found in Streamlit documentation. New Hash: {current_hash}', current_hash
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else:
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return 'No updates in Streamlit documentation.', current_hash
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# Define the Streamlit Documentation Expert agent
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streamlit_expert = Agent(
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role='Streamlit Documentation Expert',
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verbose=True
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)
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# Streamlit app setup
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st.title('CrewAI Streamlit Documentation Expert Control Panel')
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# Start CrewAI process button
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if st.button('Check Streamlit Documentation Updates'):
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# Trigger the Crew to perform the update task
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# Note: Implement the logic to run the task synchronously within Streamlit
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# ...
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# Display results
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'Select Check Frequency',
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['Daily', 'Weekly', 'Manually']
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)
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# Note: Adjust the code to handle the check frequency based on user selection
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# ...
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