From 7b3ef16a435831012c27bcd46378a3e60d80c954 Mon Sep 17 00:00:00 2001
From: Danil Kolesnikov <danil.roark@gmail.com>
Date: Thu, 27 Apr 2023 16:02:51 -0700
Subject: [PATCH] chore: lfg

---
 README.md                                    |  13 ++-
 api/__pycache__/evaluator_app.cpython-38.pyc | Bin 0 -> 12521 bytes
 api/__pycache__/text_utils.cpython-38.pyc    | Bin 0 -> 6582 bytes
 nextjs/package.json                          |   2 +-
 nextjs/utils/variables.ts                    |   3 +-
 pages/index.tsx                              |  82 -------------------
 6 files changed, 12 insertions(+), 88 deletions(-)
 create mode 100644 api/__pycache__/evaluator_app.cpython-38.pyc
 create mode 100644 api/__pycache__/text_utils.cpython-38.pyc
 delete mode 100644 pages/index.tsx

diff --git a/README.md b/README.md
index 3d5a5bca7..3f731633c 100644
--- a/README.md
+++ b/README.md
@@ -22,7 +22,7 @@ The app can be used in two ways:
 
 ![image](https://user-images.githubusercontent.com/122662504/234627824-2304f741-9f7b-4252-bdb4-ef2bdfd8139a.png)
 
-- `Playground`: Input a set of documents that you want to ask questions about. Optionally, also include your own test set of question-answer pairs related to the documents; see an example [here](https://github.com/langchain-ai/auto-evaluator/tree/main/api/docs/karpathy-lex-pod). If you do not supply a test set, the app will auto-generate one. If the test set is smaller than the desired number of eval questions specified in the top left, the app will auto-generate the remainder. 
+- `Playground`: Input a set of documents that you want to ask questions about. Optionally, also include your own test set of question-answer pairs related to the documents; see an example [here](https://github.com/langchain-ai/auto-evaluator/tree/main/api/docs/karpathy-lex-pod). If you do not supply a test set, the app will auto-generate one. If the test set is smaller than the desired number of eval questions specified in the top left, the app will auto-generate the remainder.
 
 ![image](https://user-images.githubusercontent.com/122662504/234629201-4c17b411-f910-476b-9bf6-1246c7c5a307.png)
 
@@ -41,7 +41,7 @@ The app can be used in two ways:
 
 - For each question, we use a `RetrievalQA` chain to answer it.
 - This will fetch chunks that are relevant to the question from the `retriever` and pass them to the LLM.
-- We expose the `QA_CHAIN_PROMPT`  used for to pass this context to the LLM [here](https://github.com/langchain-ai/auto-evaluator/blob/main/api/text_utils.py).
+- We expose the `QA_CHAIN_PROMPT` used for to pass this context to the LLM [here](https://github.com/langchain-ai/auto-evaluator/blob/main/api/text_utils.py).
 
 `Model-graded evaluation`:
 
@@ -52,7 +52,7 @@ The app can be used in two ways:
 (2) The app will evaluate the `similarity of the LLM generated answer` relative to ground truth answer.
 
 - The prompts for both can be seen [here](https://github.com/dankolesnikov/evaluator-app/blob/main/api/text_utils.py)
-- Users can select which grading prompt to use. [Here](https://rlancemartin.notion.site/Auto-Evaluator-Opportunities-7b3459dc2ae34440ae3481fe6f43ba40) are some notes in prompt selection from our experience. 
+- Users can select which grading prompt to use. [Here](https://rlancemartin.notion.site/Auto-Evaluator-Opportunities-7b3459dc2ae34440ae3481fe6f43ba40) are some notes in prompt selection from our experience.
 
 `Experimental results`:
 
@@ -109,10 +109,15 @@ Test the `api` locally:
 curl -X POST -F "files=@Docs/0333_text.txt" -F "num_eval_questions=1" -F "chunk_chars=1000" -F "overlap=100" -F "split_method=RecursiveTextSplitter" -F "retriever_type=similarity-search" -F "embeddings=OpenAI" -F "model_version=gpt-3.5-turbo" -F "grade_prompt=Fast" -F "num_neighbors=3" http://localhost:8000/evaluator-stream
 ```
 
-Run the frontend from `nextjs` folder and view web app at specified URL (e.g., `http://localhost:3001/`):
+Run the frontend from `nextjs` folder and view web app at specified URL (e.g., `http://localhost:3000/`):
 
 `yarn dev`
 
+### Environment Variables
+
+`EVALUATOR_API_URL=http://127.0.0.1:8000` - used by frontend.
+`OPENAI_API_KEY=` - used by backend.
+
 ## Deployment
 
 Doppler auth:
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diff --git a/nextjs/package.json b/nextjs/package.json
index fc5b5df3e..877f36857 100644
--- a/nextjs/package.json
+++ b/nextjs/package.json
@@ -1,7 +1,7 @@
 {
   "private": true,
   "scripts": {
-    "dev": "doppler run -- next dev",
+    "dev": "next dev",
     "build": "next build",
     "start": "next start"
   },
diff --git a/nextjs/utils/variables.ts b/nextjs/utils/variables.ts
index 1f54e9b0e..a760baee7 100644
--- a/nextjs/utils/variables.ts
+++ b/nextjs/utils/variables.ts
@@ -1,2 +1,3 @@
 export const IS_DEV = process.env.NODE_ENV === "development";
-export const API_URL = process.env.NEXT_PUBLIC_API_URL;
+export const API_URL =
+  process.env.NEXT_PUBLIC_API_URL ?? process.env.EVALUATOR_API_URL;
diff --git a/pages/index.tsx b/pages/index.tsx
deleted file mode 100644
index 854e1f632..000000000
--- a/pages/index.tsx
+++ /dev/null
@@ -1,82 +0,0 @@
-import {
-  AppShell,
-  Burger,
-  Header,
-  MediaQuery,
-  Navbar,
-  Text,
-} from "@mantine/core";
-import { useState } from "react";
-import { useMediaQuery } from "@mantine/hooks";
-import React from "react";
-import Body from "../components/Body";
-import Sidebar from "../components/Sidebar";
-import { useForm } from "react-hook-form";
-import { FormValues } from "../utils/types";
-
-const HomePage = () => {
-  const [opened, setOpened] = useState(false);
-  const mobileWidth = useMediaQuery("(max-width: 390px)");
-  const form = useForm<FormValues>({
-    defaultValues: {
-      evalQuestionsCount: 5,
-      chunkSize: 1000,
-      overlap: 100,
-      splitMethod: "RecursiveTextSplitter",
-      embeddingAlgorithm: "OpenAI",
-      model: "gpt-3.5-turbo",
-      retriever: "similarity-search",
-      gradingPrompt: "Fast",
-      numNeighbors: 3,
-      files: [],
-    },
-  });
-
-  return (
-    <AppShell
-      navbarOffsetBreakpoint="sm"
-      navbar={
-        <Navbar
-          p="md"
-          hiddenBreakpoint="sm"
-          hidden={!opened}
-          width={{ sm: 200, lg: 400 }}
-        >
-          <Sidebar form={form} />
-          <br />
-        </Navbar>
-      }
-      header={
-        <Header height={{ base: 50, md: 70 }} p="md">
-          <div
-            style={{ display: "flex", alignItems: "center", height: "100%" }}
-          >
-            <MediaQuery largerThan="sm" styles={{ display: "none" }}>
-              <Burger
-                opened={opened}
-                onClick={() => setOpened((o) => !o)}
-                size="sm"
-                color="gray"
-                mr="xl"
-              />
-            </MediaQuery>
-            <Text size={mobileWidth === true ? "14px" : "xl"}>
-              Evaluator AI - evaluate your QA chains.
-            </Text>
-          </div>
-        </Header>
-      }
-      styles={(theme) => ({
-        main: {
-          backgroundColor:
-            theme.colorScheme === "dark"
-              ? theme.colors.dark[8]
-              : theme.colors.gray[0],
-        },
-      })}
-    >
-      <Body form={form} />
-    </AppShell>
-  );
-};
-export default HomePage;