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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) |