awesome-llm-apps/chat_with_research_papers/chat_arxiv.py
2024-06-01 16:39:24 -05:00

31 lines
No EOL
1 KiB
Python

# Import the required libraries
import streamlit as st
from phi.assistant import Assistant
from phi.llm.openai import OpenAIChat
from phi.tools.arxiv_toolkit import ArxivToolkit
# Set up the Streamlit app
st.title("Chat with Research Papers 🔎🤖")
st.caption("This app allows you to chat with arXiv research papers using OpenAI GPT-4o model.")
# Get OpenAI API key from user
openai_access_token = st.text_input("OpenAI API Key", type="password")
# If OpenAI API key is provided, create an instance of Assistant
if openai_access_token:
# Create an instance of the Assistant
assistant = Assistant(
llm=OpenAIChat(
model="gpt-4o",
max_tokens=1024,
temperature=0.9,
api_key=openai_access_token) , tools=[ArxivToolkit()]
)
# Get the search query from the user
query= st.text_input("Enter the Search Query", type="default")
if query:
# Search the web using the AI Assistant
response = assistant.run(query, stream=False)
st.write(response)