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Question

I am having issues running the chatbot using streamlit. I am using python version 3.11.2. The error output is the following in the localost link:

NameError:

name 'sys' is not defined

Traceback:

File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libsite-packagesstreamlitruntimescriptrunnerscript_runner.py", line 600, in _run_script
    exec(code, module.__dict__)
File "C:Usersxxxxapp.py", line 17, in <module>
    completion = generate_chat_completion(user_input)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:Usersxxxxhandlers.py", line 24, in generate_chat_completion
    completion = client.chat.completions.create(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libsite-packagesopenai_utils_utils.py", line 299, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libsite-packagesopenairesourceschatcompletions.py", line 600, in create
    body=maybe_transform(
         ^^^^^^^^^^^^^^^^
File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libsite-packagesopenai_utils_transform.py", line 72, in maybe_transform
    return transform(data, expected_type)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libsite-packagesopenai_utils_transform.py", line 94, in transform
    transformed = _transform_recursive(data, annotation=cast(type, expected_type))
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libsite-packagesopenai_utils_transform.py", line 167, in _transform_recursive
    data = _transform_recursive(data, annotation=annotation, inner_type=subtype)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libsite-packagesopenai_utils_transform.py", line 155, in _transform_recursive
    return _transform_typeddict(data, stripped_type)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libsite-packagesopenai_utils_transform.py", line 213, in _transform_typeddict
    result[_maybe_transform_key(key, type_)] = _transform_recursive(value, annotation=type_)
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libsite-packagesopenai_utils_transform.py", line 159, in _transform_recursive
    return [_transform_recursive(d, annotation=annotation, inner_type=inner_type) for d in data]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libsite-packagesopenai_utils_transform.py", line 159, in <listcomp>
    return [_transform_recursive(d, annotation=annotation, inner_type=inner_type) for d in data]
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libsite-packagesopenai_utils_transform.py", line 167, in _transform_recursive
    data = _transform_recursive(data, annotation=annotation, inner_type=subtype)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libsite-packagesopenai_utils_transform.py", line 155, in _transform_recursive
    return _transform_typeddict(data, stripped_type)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libsite-packagesopenai_utils_transform.py", line 213, in _transform_typeddict
    result[_maybe_transform_key(key, type_)] = _transform_recursive(value, annotation=type_)
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libsite-packagesopenai_utils_transform.py", line 170, in _transform_recursive
    if isinstance(data, pydantic.BaseModel):
                        ^^^^^^^^^^^^^^^^^^
File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libsite-packagespydantic__init__.py", line 383, in __getattr__
    module = import_module(module_name, package=package)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:UsersxxxxAppDataLocalProgramsPythonPython311Libimportlib__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<frozen importlib._bootstrap>", line 1206, in _gcd_import
File "<frozen importlib._bootstrap>", line 1172, in _find_and_load

I created two files in Visual Code:

The file called handlers.py:

import openai, os, requests, json, tiktoken, openpyxl, sys
from openai import AzureOpenAI
import pandas as pd
from dotenv import load_dotenv
from colorama import Fore

client = AzureOpenAI(
    azure_endpoint = "https:...openai.azure.com/",
    api_key = "...",
    api_version="...",
)

MESSAGE_SYSTEM = """"You are a skilled stand-up comedian with a quick wit and charismatic presence for telling short clever storytelling and ability to 
connect with diverse audiences through humor that is both insightful and relatable."""
messages = [{"role": "system", "content": MESSAGE_SYSTEM}]

def to_dict(obj):
    return {
        "content": obj.content,
        "role": obj.role,
    }

   
def generate_chat_completion(user_input=""):
    messages.append({"role": "user", "content": user_input})
    completion = client.chat.completions.create(
        model="gpt-4",
        messages=messages
    )
    message = completion.choices[0].message
    messages.append(to_dict(message))
    return message.content

2nd file called app.py

import streamlit as st
from handlers import generate_chat_completion

st.title("???? Funny Chatbot App")

with st.form("user_form", clear_on_submit=True):
    user_input = st.text_input("Type something")
    submit_button = st.form_submit_button(label="Send")

if submit_button:
    completion = generate_chat_completion(user_input)
    st.write(completion)

To further isolate the issue,I created a simple test script to check in Jupyter Notebook if the API call works independently of Streamlit and it did with the following code:

import openai, os, requests, json, tiktoken, openpyxl, sys
from openai import AzureOpenAI
import pandas as pd
from dotenv import load_dotenv
from colorama import Fore

client = AzureOpenAI(
    azure_endpoint = "https://...openai.azure.com/",
    api_key = "...",
    api_version="...",
)

MESSAGE_SYSTEM = """"You are a skilled stand-up comedian with a quick wit and charismatic presence for telling short clever storytelling and ability to 
connect with diverse audiences through humor that is both insightful and relatable."""
messages = [{"role": "system", "content": MESSAGE_SYSTEM}]

def to_dict(obj):
    return {
        "content": obj.content,
        "role": obj.role,
    }

   
def generate_chat_completion(user_input=""):
    messages.append({"role": "user", "content": user_input})
    completion = client.chat.completions.create(
        model="gpt-4",
        messages=messages
    )
    message = completion.choices[0].message
    messages.append(to_dict(message))
    return message.content

if __name__ == "__main__":
    user_input = "Tell me a joke."
    completion = generate_chat_completion(user_input)
    print(completion)

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Danh mục

Error when creating a chatbot using Streamlit with API interface using `AzureOpenAI()`