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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import streamlit as st\n",
"import os\n",
"from langserve.client import RemoteRunnable\n",
"from httpx import HTTPStatusError\n",
"from dotenv import load_dotenv\n",
"load_dotenv()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"token = os.environ.get(\"BACK_API_KEY\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"rag_app = RemoteRunnable(\"http://127.0.0.1:8000/rag-chroma/\", headers={\"x-api-key\": f\"{token}\"})"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'\\nAnswer: The speakers do not provide specific details about GPT-5. They mention that it is not yet developed and that there are challenges and bottlenecks to overcome before its creation. They also discuss that it will require a bigger computer and a new secret, and that it is a result of multiplying 200 medium-sized things together into one giant thing. They also mention that there is a lot of distributed constant innovation happening on the technical side.'"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rag_app.invoke(\"What do they say about GPT-5?\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "langcorn",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|