Spaces:
Sleeping
Sleeping
import requests | |
import streamlit as st | |
from langchain.llms import CTransformers | |
from langchain.prompts import PromptTemplate | |
import os | |
def download_model() -> None: | |
""" | |
Downloads the model from the provided URL and saves it to the current directory. | |
""" | |
url = 'https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/resolve/main/llama-2-7b-chat.ggmlv3.q8_0.bin' | |
file_name = url.split('/')[-1] | |
response = requests.get(url, stream=True) | |
with open(file_name, 'wb') as file: | |
for chunk in response.iter_content(chunk_size=1024): | |
if chunk: | |
file.write(chunk) | |
print("File downloaded successfully!") | |
def getLLMResponse(form_input: str, email_sender: str, email_recipient: str, email_style: str) -> str: | |
""" | |
Generates a response using the LLM model. | |
:param form_input: Email topic provided by the user. | |
:param email_sender: Sender name provided by the user. | |
:param email_recipient: Recipient name provided by the user. | |
:param email_style: Writing style provided by the user. | |
:return: Generated response. | |
""" | |
llm = CTransformers(model='llama-2-7b-chat.ggmlv3.q8_0.bin', | |
model_type='llama', | |
config={'max_new_tokens': 256, | |
'temperature': 0.01}) | |
template = """ | |
Write an email with {style} style and includes topic :{email_topic}.\n\nSender: {sender}\nRecipient: {recipient} | |
\n\nEmail Text: | |
""" | |
prompt = PromptTemplate( | |
input_variables=["style", "email_topic", "sender", "recipient"], | |
template=template,) | |
response = llm(prompt.format(email_topic=form_input, sender=email_sender, recipient=email_recipient, style=email_style)) | |
print(response) | |
return response | |
st.set_page_config(page_title="Generate Emails", | |
page_icon='π§', | |
layout='centered', | |
initial_sidebar_state='collapsed') | |
st.header("Generate Emails π§") | |
model_loaded = st.session_state.get('model_loaded', False) | |
if not model_loaded: | |
if st.button('Load Model'): | |
model_file = 'llama-2-7b-chat.ggmlv3.q8_0.bin' | |
if not os.path.isfile(model_file): | |
st.info('Loading the model, this could take ~5 minutes') | |
download_model() | |
st.session_state.model_loaded = True | |
st.info('Model loaded successfully') | |
if st.session_state.get('model_loaded'): | |
form_input = st.text_area('Enter the email topic', height=275) | |
col1, col2, col3 = st.columns([10, 10, 5]) | |
with col1: | |
email_sender = st.text_input('Sender Name') | |
with col2: | |
email_recipient = st.text_input('Recipient Name') | |
with col3: | |
email_style = st.selectbox('Writing Style', | |
('Formal', 'Appreciating', 'Not Satisfied', 'Neutral'), | |
index=0) | |
submit = st.button("Generate") | |
if submit: | |
st.write(getLLMResponse(form_input, email_sender, email_recipient, email_style)) | |
else: | |
st.write("Please load the model to proceed.") | |