Lama4-gr-intro.py

# from https://huggingface.co/spaces/ysharma/Microsoft_Phi-3-Vision-128k/blob/main/app.py
# https://ai.meta.com/blog/llama-4-multimodal-intelligence/


import gradio as gr
import base64
from openai import OpenAI
from PIL import Image
import io
from datetime import datetime
import random
import string

# Background of the Chatbot as a placeholder... really smart!
PLACEHOLDER = """
<div style="padding: 30px; text-align: center; display: flex; flex-direction: column; align-items: center;">
   <img src="https://wwwhatsnew.com/wp-content/uploads/2025/04/llama4-meta-modelos-inteligencia-artificial.png.webp" style="width: 80%; max-width: 550px; height: auto; opacity: 0.55;  "> 
   <h1 style="font-size: 28px; margin-bottom: 2px; opacity: 0.55;">LLama 4 Scout</h1>
   <p style="font-size: 18px; margin-bottom: 2px; opacity: 0.65;">Llama 4 Scout, a 17 billion active parameter model with 16 experts, is the best multimodal model in the world in its class.</p>
</div>
"""

def writehistory(filename,text):
    """
    save a string into a logfile with python file operations
    filename -> str pathfile/filename
    text -> str, the text to be written in the file
    """
    with open(f'{filename}', 'a', encoding='utf-8') as f:
        f.write(text)
        f.write('\n')
    f.close()

def genRANstring(n):
    """
    n = int number of char to randomize
    Return -> str, the filename with n random alphanumeric charachters
    """
    N = n
    res = ''.join(random.choices(string.ascii_uppercase +
                                string.digits, k=N))
    print(f'Logfile_{res}.md  CREATED')
    return f'Logfile_{res}.md'

# Function to encode the image
def encode_image(image_path):
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode("utf-8")


# CSS only to justify center the title
mycss = """
#warning {justify-content: center; text-align: center}
"""