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.ipynb_checkpoints/langchain-app-checkpoint.ipynb
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"source": [
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"import os\n",
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"import gradio as gr\n",
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"cells": [
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"execution_count": 1,
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"outputs": [
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Running on local URL: http://127.0.0.1:7863\n",
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"Running on public URL: https://cf43e4871c9bab7308.gradio.live\n",
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"\n",
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"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"
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"data": {
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"text/html": [
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"<div><iframe src=\"https://cf43e4871c9bab7308.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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"metadata": {},
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"output_type": "display_data"
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"data": {
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"text/plain": []
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import os\n",
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"import gradio as gr\n",
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}
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.4"
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}
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"nbformat": 4,
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"nbformat_minor": 4
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.ipynb_checkpoints/simple-langchain-app-checkpoint.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f6f4bf16-7e46-460c-829f-702fcfc23713",
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"import gradio as gr\n",
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"from dotenv import load_dotenv, find_dotenv\n",
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"_ = load_dotenv(find_dotenv())\n",
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"\n",
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"from langchain.chains import ConversationChain\n",
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"from langchain.chat_models import ChatOpenAI\n",
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"from langchain.memory import ConversationBufferMemory\n",
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"\n",
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"llm = ChatOpenAI(temperature=0.0)\n",
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"memory = ConversationBufferMemory()\n",
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"conversion = ConversationChain(\n",
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" llm=llm,\n",
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" memory=memory,\n",
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" verbose=False\n",
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")\n",
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"\n",
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"def takeinput(input_str):\n",
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" output_str = conversion.predict(input=input_str)\n",
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" return output_str\n",
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"\n",
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"demo = gr.Interface(\n",
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" fn=takeinput,\n",
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" inputs=[\"text\"],\n",
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" outputs=[\"text\"]\n",
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")\n",
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"\n",
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"demo.launch(share=True)\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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simple-langchain-app.ipynb
ADDED
@@ -0,0 +1,62 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f6f4bf16-7e46-460c-829f-702fcfc23713",
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"import gradio as gr\n",
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"from dotenv import load_dotenv, find_dotenv\n",
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"_ = load_dotenv(find_dotenv())\n",
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"\n",
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"from langchain.chains import ConversationChain\n",
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"from langchain.chat_models import ChatOpenAI\n",
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"from langchain.memory import ConversationBufferMemory\n",
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"\n",
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"llm = ChatOpenAI(temperature=0.0)\n",
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"memory = ConversationBufferMemory()\n",
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"conversion = ConversationChain(\n",
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" llm=llm,\n",
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" memory=memory,\n",
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" verbose=False\n",
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")\n",
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"\n",
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"def takeinput(name):\n",
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" output_str = conversion.predict(input=name)\n",
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" return output_str\n",
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"\n",
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"demo = gr.Interface(\n",
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" fn=takeinput,\n",
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" inputs=[\"text\"],\n",
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" outputs=[\"text\"]\n",
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")\n",
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"\n",
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"demo.launch(share=True)\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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