app.py

from transformers import AutoTokenizer, AutoModelForCausalLM, TextGenerationPipeline
import gradio as gr

model_name = "Hadeel11/fine-tuned-model-2"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

text_generator = TextGenerationPipeline(model=model, tokenizer=tokenizer)

def generate_text(prompt):
    return text_generator(prompt, max_length=512, num_return_sequences=1)[0]['generated_text']

iface = gr.Interface(fn=generate_text, inputs="text", outputs="text", title="Text Generation Inference")

iface.launch()