app.py

import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load the Mistral model and tokenizer
model_name = "mistralai/Mistral"
model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

def generate_text(prompt):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(**inputs)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

# Set up Gradio interface
iface = gr.Interface(
    fn=generate_text,
    inputs="text",
    outputs="text",
    title="Mistral Model",
    description="Generate text using the Mistral model."
)

if __name__ == "__main__":
    iface.launch()