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2fc0aab | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | 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()
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