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import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
# Load model and tokenizer
model_name = "SJSui/AstroBot"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
# Function to generate text
def generate_text(prompt):
inputs = tokenizer(prompt, return_tensors="pt")
with torch.no_grad():
output = model.generate(**inputs, max_length=100)
return tokenizer.decode(output[0], skip_special_tokens=True)
# Gradio Interface
iface = gr.Interface(
fn=generate_text,
inputs=gr.Textbox(label="Enter your prompt"),
outputs=gr.Textbox(label="Generated Response"),
title="AstroBot AI Chat",
description="This is a chatbot powered by the AstroBot model.",
)
if __name__ == "__main__":
iface.launch()
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