Spaces:
Runtime error
Runtime error
File size: 2,530 Bytes
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Running on local URL: http://127.0.0.1:7863\n",
"Running on public URL: https://cf43e4871c9bab7308.gradio.live\n",
"\n",
"This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co./spaces)\n"
]
},
{
"data": {
"text/html": [
"<div><iframe src=\"https://cf43e4871c9bab7308.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": []
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import os\n",
"import gradio as gr\n",
"from dotenv import load_dotenv, find_dotenv\n",
"_ = load_dotenv(find_dotenv())\n",
"\n",
"from langchain.chains import ConversationChain\n",
"from langchain.chat_models import ChatOpenAI\n",
"from langchain.memory import ConversationBufferMemory\n",
"\n",
"llm = ChatOpenAI(temperature=0.0)\n",
"memory = ConversationBufferMemory()\n",
"conversion = ConversationChain(\n",
" llm=llm,\n",
" memory=memory,\n",
" verbose=False\n",
")\n",
"\n",
"def takeinput(name):\n",
" output_str = conversion.predict(input=name)\n",
" return output_str\n",
"\n",
"demo = gr.Interface(\n",
" fn=takeinput,\n",
" inputs=[\"text\"],\n",
" outputs=[\"text\"]\n",
")\n",
"\n",
"demo.launch(share=True)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.11.4"
}
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"nbformat": 4,
"nbformat_minor": 4
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