app.py

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

# Load model from your uploaded model repo
model_name = "your-username/my-textgen-model"  # change this to your Hugging Face model name
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float32)

def generate_text(prompt, max_length=200):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(**inputs, max_length=max_length)
    text = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return text

iface = gr.Interface(
    fn=generate_text,
    inputs=[
        gr.Textbox(label="Prompt", placeholder="Type your text here..."),
        gr.Slider(50, 500, value=200, label="Max Length")
    ],
    outputs="text",
    title="Text Generation API",
    description="PyTorch text generation model deployed on Hugging Face"
)

iface.launch()