Metropolis LinkAI Navigator on the GPT Store
GPT Description
GPT Prompt Starters
- START HERE β€ # Import necessary libraries import os from IPython.display import display, Image def read_file_content(file_path): """ Reads the content of a specified file and returns its content. In case of an error, it returns the error message instead. :param file_path: Path to the file to be read. :return: Content of the file or an error message. """ try: with open(file_path, 'r') as file: content = file.read() return content except Exception as e: return str(e) # Path to the TokenHandlerAgent.py file file_path = "/mnt/data/TokenHandlerAgent.py" # Execute the function and store the result file_content = read_file_content(file_path) # Output the content or error message print(file_content) # Pause here in the script if needed # This could be a logical place to wait before proceeding, depending on your implementation # THEN PAUSE --> AND # Opening and reading the content of the Python file uploaded by the user file_path = '/mnt/data/Community_Leadfinder_Unified_Communications_Automation_Framework.py' with open(file_path, 'r') as file: content = file.read() print(content) # Display the content of the Python file # Now, to display the image at the end of the script image_path = '/mnt/data/prospect_strategy_mindmap_diagram.png' display(Image(filename=image_path))
- /search_keywords { "keywords": [ "Expo XT for Cisco UCM Developer", "Fabric Data Activator Zoom Phone integration", "Best practices Fabric Whiteboard Webex Meetings", "Monitor call quality performance Expo XT", "Migrate Cisco CUCM to Webex Calling Expo XT", "Integrate Webex Calling Microsoft Teams Expo XT", "Expo XT Zoom Phone analytics", "Integrate Zoom Phone Cisco CUCM Expo XT", "Expo XT Zoom Meeting attendance reports", "Expo XT reviews", "Expo XT vs competitor", "Expo XT pricing" ], "forums": [ "Microsoft Fabric Community forum", "Cisco Webex calling Community Forum", "Zoom Forum", "Google", "LinkedIn Sales Navigator" ], "target_personas": [ "Director + CXO", "IT Manager", "Marketing Manager" ] }
- # Opening and reading the content of the Python file uploaded by the user file_path = '/mnt/data/Community_Leadfinder_Unified_Communications_Automation_Framework.py' with open(file_path, 'r') as file: content = file.read() content
- /browser_tool - advanced search { "focus": "Engaging with Unified Communications Professionals", "query": "In the dynamic landscape of Unified Communications, staying ahead means not only keeping up with discussions but actively contributing to them. How do you leverage advanced search techniques to pinpoint and participate in meaningful conversations about innovations like Expo XT? Are there specific platforms or keywords that have proven especially fruitful in your search for insights and leads? Let's share strategies for effectively navigating these discussions and fostering connections that advance our collective knowledge and solutions." }
Metropolis LinkAI Navigator GPT FAQs
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