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import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
# Load DeepScaleR model
MODEL_NAME = "agentica-org/DeepScaleR-1.5B-Preview"
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
model = AutoModelForCausalLM.from_pretrained(MODEL_NAME)
# Function to generate AI responses
def generate_response(prompt):
inputs = tokenizer(prompt, return_tensors="pt", truncation=True, max_length=2048)
output = model.generate(**inputs, max_new_tokens=200)
return tokenizer.decode(output[0], skip_special_tokens=True)
# Launch API for Discord bot
iface = gr.Interface(fn=generate_response, inputs="text", outputs="text")
iface.launch(server_name="0.0.0.0", server_port=7860, share=False) |