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import streamlit as st
from streamlit_chat import message
import requests
from transformers import AutoModelWithLMHead, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained('microsoft/DialoGPT-small')
model = AutoModelWithLMHead.from_pretrained('output-small-save')
st.set_page_config(
page_title="COVID Doctor using DialoGPT",
page_icon=":robot:"
)
API_URL = "https://api-inference.huggingface.co/models/microsoft/DialoGPT-small"
headers = {"Authorization": st.secrets['api_key']}
st.header("Hello - Welcome to COVID Doctor using DialoGPT")
st.markdown("[Github](https://github.com/rushic24/DialoGPT-Finetune)")
if 'generated' not in st.session_state:
st.session_state['generated'] = []
if 'past' not in st.session_state:
st.session_state['past'] = []
def query(payload):
bot_input_ids = tokenizer.encode(payload["inputs"]["text"] + tokenizer.eos_token, return_tensors='pt')
chat_history_ids = model.generate(
bot_input_ids, max_length=100,
pad_token_id=tokenizer.eos_token_id,
no_repeat_ngram_size=3,
do_sample=True,
top_k=10,
top_p=0.7,
temperature = 0.8
)
output = tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)
return {"generated_text": output}
def get_text():
input_text = st.text_input("You: ","I have shortness of breath and are worried, I don’t have a cough or sore throat, so they will not test me, should I do a private test?", key="input")
return input_text
user_input = get_text()
if user_input:
output = query({
"inputs": {
"past_user_inputs": st.session_state.past,
"generated_responses": st.session_state.generated,
"text": user_input,
},"parameters": {"repetition_penalty": 1.33},
})
st.session_state.past.append(user_input)
st.session_state.generated.append(output["generated_text"])
if st.session_state['generated']:
for i in range(len(st.session_state['generated'])-1, -1, -1):
message(st.session_state["generated"][i], key=str(i))
message(st.session_state['past'][i], is_user=True, key=str(i) + '_user')
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