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| import streamlit as st | |
| from code_editor import code_editor | |
| import random | |
| import time | |
| import requests | |
| import os | |
| API_URL = "https://api-inference.huggingface.co/models/mistralai/Mixtral-8x7B-Instruct-v0.1" | |
| headers = {"Authorization": f"Bearer {os.environ.get('API_KEY')}"} | |
| def query(payload): | |
| response = requests.post(API_URL, headers=headers, json=payload) | |
| return response.json() | |
| st.markdown(f":blue_background[Create] Code With AI") | |
| st.write("Real-time Code Generation & Code Editor") | |
| lang = st.selectbox("Choose Language", ["Python", "Javascript", "HTML", "C++", "CS", "Markdown", "Java", "C", "Go", "Ruby"]) | |
| code = code_editor("Your Code Here", height=[1, 200], lang=lang) | |
| if st.button("Run AI"): | |
| output = query({ | |
| "inputs": f"Can you please correct and improve this code, as output give only updated code; code to correct and improve: {code}", | |
| }) | |
| if output: | |
| code = code_editor(output, height=[1, 200], lang=lang) |