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import streamlit as st | |
import openai | |
import os | |
openai.api_key = os.getenv("openapikey") | |
def refactor_code(code): | |
try: | |
response = openai.chat.completions.create( | |
model="gpt-3.5-turbo", # Or "gpt-4" if you have access | |
messages=[ | |
{ | |
"role": "system", | |
"content": "You are a helpful assistant that generate code. Provide the code directly, without explanation unless specifically requested.", | |
}, | |
{ | |
"role": "user", | |
"content": f"generated the following text based code:\n{code}", | |
}, | |
], | |
max_tokens=800, #increased tokens as chat api is more verbose. | |
) | |
return response.choices[0].message.content.strip() | |
except Exception as e: | |
return f"An error occurred: {e}" | |
st.title("Code Generator") | |
code = st.text_input("Enter Code:") | |
if st.button("Submit"): | |
if code: | |
refactored_code = refactor_code(code) | |
st.code(refactored_code) |