Create app.py

app.py

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+
+import time
+import config
+import gradio as gr
+
+from openai import OpenAI
+
+client = OpenAI(api_key=config.OPENAI_API_KEY)
+
+# Initialize the client
+# Set your OpenAI API key
+
+'''file = client.files.create(
+    file=open("songs.txt", "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",\
+                          description="SAFe Specialist guiding transitions with realistic and \
+                            optimistic advice towards a product centric approach",\
+                                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()