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import gradio as gr
import torch
from transformers import pipeline
def generate_text(prompt):
messages = [
{"role": "system", "content": "You are a code assistant"},
{"role": "user", "content": prompt},
]
formatted_prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipe(formatted_prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
generated_text = outputs[0]["generated_text"]
return generated_text
# Load the model pipeline
pipe = pipeline("text-generation", model="TinyLlama/TinyLlama-1.1B-Chat-v1.0", torch_dtype=torch.bfloat16, device_map="auto")
# Create Gradio interface
iface = gr.Interface(fn=generate_text, inputs="text", outputs="text", live=False, title="Chatbot Assistant")
iface.launch() |