Create app.py

app.py

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