app.py

import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "allenai/OLMo-7B"
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)

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

iface = gr.Interface(fn=generate_text, inputs="text", outputs="text", title="OLMo-7B Text Generator", description="Enter a prompt to generate text using the OLMo-7B model.")
iface.launch()