How can I force my Assistant to use the uploaded file for knowledge retrieval?

I'm using the code below to ask a question about an individual mentioned in my file, but the Assistant returns a generic response (e.g., “As of my latest update in April 2023...”) instead of an answer based on the file content. I want the Assistant to rely exclusively on the uploaded file. I've already added references to the file in the assistant's description and instructions, yet it still defaults to its built-in knowledge.

Any ideas or modifications that force the Assistant to reference the file content specifically would be greatly appreciated.

Here is the code I'm currently using:

PYTHONCopied
import os
import time
from openai import OpenAI

file_id = os.environ.get("OPENAI_FILE_ABOUT_K", "")
print("File ID", file_id)
openai_client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY", ""))
assistant = openai_client.beta.assistants.create(name="Assistant",
                                                 description="You are a personal assistant chatbot. When asked a question, always refer to the uploaded file in order to provide the best answer."
                                                             "queries.", model="gpt-4-1106-preview",
                                                 tools=[{"type": "retrieval"}], file_ids=[file_id], )

print("Assistant ID", assistant.id)
thread = openai_client.beta.threads.create()
thread_id = thread.id
print("Thread ID", thread_id)

message = "Who is [name of person]?"

openai_client.beta.threads.messages.create(thread_id, role="user", content=message)

run = openai_client.beta.threads.runs.create(thread_id=thread_id, assistant_id=assistant.id,
                                             instructions="Use the uploaded file to answer questions.", )
run_in_progress = True
while run_in_progress:
    run = openai_client.beta.threads.runs.retrieve(thread_id=thread_id, run_id=run.id)
    if run.status == "completed":
        run_in_progress = False
    else:
        time.sleep(3)
messages = openai_client.beta.threads.messages.list(thread_id=thread_id, order="desc")
print(messages.data)
new_messages = []
for message_object in messages.data:
    try:
        if message_object.role == "assistant":
            new_messages.append(message_object.content[0].text.value)
        else:
            break
    except Exception as e:
        print("Error interpreting message", e)
        print(message_object)
        new_messages.append("Error interpreting message")
ew_messages.reverse()
prediction = ""
for message_string in new_messages:
    prediction = prediction + message_string + "\n"
print(prediction)