Add new demo

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ShubhamSaboo 2024-05-23 20:28:06 -05:00
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## 🔎 Chat with Arxiv
This Streamlit app enables you to engage in interactive conversations with arXiv, a vast repository of scholarly articles, using GPT-4o. With this RAG application, you can easily access and explore the wealth of knowledge contained within arXiv.
### Features
- Engage in conversational interactions with arXiv
- Access and explore a vast collection of research papers
- Utilize OpenAI GPT-4o for intelligent responses
### How to get Started?
1. Clone the GitHub repository
```bash
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
```
2. Install the required dependencies:
```bash
pip install -r requirements.txt
```
3. Get your OpenAI API Key
- Sign up for an [OpenAI account](https://platform.openai.com/) (or the LLM provider of your choice) and obtain your API key.
4. Run the Streamlit App
```bash
streamlit run chat_arxiv.py
```

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# 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 Arxiv 🔎🤖")
st.caption("This app allows you to chat with arXiv 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()], show_tool_calls=True
)
# 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)

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streamlit
phidata
arxiv
openai