Spaces:
Runtime error
Runtime error
import openai | |
import gradio as gr | |
import json | |
openai.api_key = "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" | |
def save_conversation(): | |
with open('conversation.json', 'w') as f: | |
json.dump(messages, f) | |
def load_conversation(): | |
try: | |
with open('conversation.json', 'r') as f: | |
return json.load(f) | |
except FileNotFoundError: | |
return [] | |
messages = load_conversation() | |
if not messages: | |
messages.append({"role": "system", "content": "You are an all knowing super computer who has endless coding knowledge and you are incredible at providing easy quick solutions for people doing tasks for the first time. You know all coding languages and uncommon solutions as well as conventional solutions."}) | |
def CustomChatGPT(user_input): | |
messages.append({"role": "user", "content": user_input}) | |
# Ensure the conversation fits within the model's maximum token limit | |
conversation = messages[-4096:] | |
try: | |
response = openai.ChatCompletion.create( | |
model="gpt-3.5-turbo", | |
messages=conversation, | |
max_tokens=1000, | |
temperature=0.7) | |
except openai.api_resources.request_error.RequestError as e: | |
print(f"Received error from OpenAI: {e}") | |
return "I'm sorry, but I'm unable to generate a response at this time." | |
ChatGPT_reply = response["choices"][0]["message"]["content"] | |
messages.append({"role": "assistant", "content": ChatGPT_reply}) | |
save_conversation() | |
return ChatGPT_reply | |
interface = gr.Interface(fn=CustomChatGPT, | |
inputs="textbox", | |
outputs="textbox", | |
title="AL Code PRO", | |
description="Code PRO - Software Developer Assistant. Developed by A. Leschik.") | |
interface.launch() | |