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import gradio as gr
import os
import torch
import transformers
from transformers import AutoTokenizer
# pipe_flan = transformers.pipeline("text2text-generation", model="google/flan-t5-small")
# def google_flan(input_text):
# return pipe_flan(input_text)["generated_text"]
model = "meta-llama/Llama-2-7b-chat-hf"
tokenizer = AutoTokenizer.from_pretrained(
model,
token=os.environ["HF_TOKEN"],
)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
token=os.environ["HF_TOKEN"],
low_cpu_mem_usage=False,
)
def llama2(input_text):
sequences = pipeline(
input_text,
do_sample=True,
top_k=10,
num_return_sequences=1,
eos_token_id=tokenizer.eos_token_id,
max_length=200,
)
output_text = ""
for seq in sequences:
output_text += seq["generated_text"] + "\n"
return output_text
demo = gr.Interface(fn=llama2, inputs="text", outputs="text")
demo.launch(server_name="0.0.0.0", server_port=7860) |