File size: 1,337 Bytes
a523654 2fa835e 7643627 2fa835e 7f17cd6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 |
import streamlit as st
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
print("runningg")
#torch.random.manual_seed(0)
#model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct",trust_remote_code=True)
#tokenizer = AutoTokenizer.from_pretrained("microsoft/Phi-3-mini-4k-instruct")
#text = st.text_area("Enter text....")
#messages = [
# {"role": "system", "content": "You are a helpful AI assistant."},
# {"role": "user", "content": "Can you provide ways to eat combinations of bananas and dragonfruits?"},
# {"role": "assistant", "content": "Sure! Here are some ways to eat bananas and dragonfruits together: 1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey. 2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey."},
# {"role": "user", "content": "What about solving an 2x + 3 = 7 equation?"},
#]
#pipe = pipeline(
# "text-generation",
# model=model,
# tokenizer=tokenizer,
#)
#generation_args = {
# "max_new_tokens": 500,
# "return_full_text": False,
# "temperature": 0.0,
# "do_sample": False,
#}
#output = pipe(messages, **generation_args)
#if text:
# out = pipe(text)
# st.write(out)
st.write("aaa") |