import os

from groq import Groq

import gradio as gr

client = Groq(
    api_key=os.environ.get("GROQ_API_KEY"),
)

def eval_text (text):
  prompt = "Eres un experto en lenguaje claro. Evalúa la calidad del lenguaje de este texto:"
  input = prompt + text

  chat_completion = client.chat.completions.create(
    messages=[
        {
            "role": "user",
            "content": input,
        }
    ],
    model="mixtral-8x7b-32768",
)

  return (chat_completion.choices[0].message.content)
from PIL import Image
import matplotlib.pyplot as plt

pil_im = Image.open('endesa.jpeg')
plt.imshow(pil_im)
plt.show()

demo = gr.Interface(fn=eval_text, inputs="text", outputs="text", title="plAIn") #css='div {margin-left: auto; margin-right: auto; width: 100%;\ background-image: url("https://www.ucaragon.com/wp-content/uploads/2020/04/endesa-logo-nuevo-770.jpg"); repeat 0 0;}'

demo.launch()