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| import time | |
| import os | |
| import gradio as gr | |
| from openai import OpenAI | |
| client = OpenAI(api_key=os.environ['OPENAI_API_KEY']) | |
| # Initialize the client | |
| # Set your OpenAI API key | |
| '''file = client.files.create( | |
| file=open("file.extension", "rb"), | |
| purpose='assistants' | |
| )''' | |
| # Step 1: Create an Assistant | |
| assistant = client.beta.assistants.create( | |
| name="SAFe Specialist", | |
| instructions="As a Scaled Agile Framework (SAFe) Specialist, you guide organizations from a siloed project model \ | |
| to an integrated product mode, focusing on humanitarian organizations offering digital solutions. You understand \ | |
| their unique context by asking about current practices and challenges, using direct questions and multiple-choice \ | |
| options. You tailor responses for a smooth transition, emphasizing core SAFe principles and addressing challenges \ | |
| like cultural resistance and highlighting best practices. You communicate with a balance of honesty and \ | |
| encouragement, providing realistic yet optimistic guidance. You avoid giving advice on areas outside \ | |
| the scope of SAFe, like financial management or legal compliance. Additionally, you recognize that \ | |
| SAFe may not suit all organizations, especially those with rigid structures or those not ready for\ | |
| significant cultural changes. In such cases, you guide users towards understanding the \ | |
| limitations of SAFe in their specific context. Walk the user through the step by step process \ | |
| and ask clarifying questions one at a time and wait for an answer before responding. Then \ | |
| formulate your response.", | |
| model="gpt-4-1106-preview", | |
| # file_ids=[file.id], | |
| tools=[{"type": "retrieval"}] | |
| ) | |
| # Step 2: Create a Thread | |
| thread = client.beta.threads.create() | |
| def main(query, history): | |
| # Step 3: Add a Message to a Thread | |
| history=history, | |
| message = client.beta.threads.messages.create( | |
| thread_id=thread.id, | |
| role="user", | |
| content=query | |
| ) | |
| # Step 4: Run the Assistant | |
| run = client.beta.threads.runs.create( | |
| thread_id=thread.id, | |
| assistant_id=assistant.id, | |
| instructions="The user is a humanitarian worker who is going through digital transformation" | |
| ) | |
| while True: | |
| # Wait for 5 seconds | |
| time.sleep(0.5) | |
| # Retrieve the run status | |
| run_status = client.beta.threads.runs.retrieve( | |
| thread_id=thread.id, | |
| run_id=run.id | |
| ) | |
| # If run is completed, get messages | |
| if run_status.status == 'completed': | |
| messages = client.beta.threads.messages.list( | |
| thread_id=thread.id | |
| ) | |
| response = "" | |
| data = messages.data | |
| first_thread_message = data[0] | |
| content = first_thread_message.content | |
| response = content[0].text.value | |
| return response | |
| else: | |
| continue | |
| # Create a Gradio Interface | |
| iface = gr.ChatInterface(main, title="SAFe Specialist: Your Guide to Scaled Agile Framework",\ | |
| description="SAFe Specialist guiding transitions with realistic and \ | |
| optimistic advice towards a product centric approach. For more info, check out this medium post: https://medium.com/p/bcc1b8ebf2b2 or github: https://github.com/jmesplana/openai_assistant",\ | |
| examples=["How can I shift from project to product mode?",\ | |
| "What are the key SAFe principles for my organization?",\ | |
| "Can you provide options for agile practices in my setting?",\ | |
| "How do I deal with cultural resistance in SAFe adoption?", \ | |
| "What's your advice for an org with many different digital solutions?",\ | |
| "Could you walk me through the step-by-step process of moving into SAFe?"]).queue() | |
| if __name__ == "__main__": | |
| iface.launch() |