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import os |
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from groq import Groq |
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import gradio as gr |
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client = Groq( |
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api_key=os.environ.get("GROQ_API_KEY"), |
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) |
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def eval_text (text): |
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prompt = "Eres un experto en lenguaje claro. Evalúa la calidad del lenguaje de este texto:" |
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input = prompt + text |
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chat_completion = client.chat.completions.create( |
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messages=[ |
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{ |
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"role": "user", |
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"content": input, |
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} |
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], |
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model="mixtral-8x7b-32768", |
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) |
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return (chat_completion.choices[0].message.content) |
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from PIL import Image |
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import matplotlib.pyplot as plt |
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pil_im = Image.open('endesa.jpeg') |
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plt.imshow(pil_im) |
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plt.show() |
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demo = gr.Interface(fn=eval_text, inputs="text", outputs="text", title="plAIn") |
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demo.launch() |
