Update new APIs for new backend (#688)

* update new APIs for new backend

* add uptrain_local_url in settings

* update env variables

* update docker-compose.yml

* New dashboard changes (#690)

* Change default model to gpt-3.5-turbo (#685)

* Link fixes in llamaindex (#687)

* frontend changes (#689)

---------

Co-authored-by: Dhruv Chawla <43818888+Dominastorm@users.noreply.github.com>
Co-authored-by: Shreyansh Jain <shrjain1111@gmail.com>
Co-authored-by: sanchitadev <155409408+sanchitadev@users.noreply.github.com>

* update pyproject.toml

---------

Co-authored-by: Dhruv Chawla <43818888+Dominastorm@users.noreply.github.com>
Co-authored-by: Shreyansh Jain <shrjain1111@gmail.com>
Co-authored-by: sanchitadev <155409408+sanchitadev@users.noreply.github.com>

docker-compose.yml

@@ -8,6 +8,8 @@ services:
     working_dir: "/app/"
     volumes:
       - "$SERVER_DATA_DIR:/data/"
+    env_file:
+      - .env
     ports:
       - 4300:4300
     profiles: ["server"]
@@ -20,6 +22,8 @@ services:
     working_dir: "/app/"
     environment:
       - NEXT_TELEMETRY_DISABLED=1
+    env_file:
+      - .env
     ports:
       - 3000:3000
     profiles: ["server"]

pyproject.toml

@@ -3,7 +3,7 @@ requires = ["setuptools", "wheel"]
 
 [project]
 name = "uptrain"
-version = "0.6.13"
+version = "0.7.0"
 description = "UpTrain - tool to evaluate LLM applications on aspects like factual accuracy, response quality, retrieval quality, tonality, etc."
 readme = "README.md"
 maintainers = [{ name = "UpTrain AI Team", email = "oss@uptrain.ai" }]

run_uptrain.sh

@@ -1,3 +1,3 @@
 mkdir data
-echo "SERVER_DATA_DIR=$(pwd)/data" > .env
+echo -e "SERVER_DATA_DIR=$(pwd)/data\nUPTRAIN_LOCAL_URL=http://localhost:4300\nNEXT_PUBLIC_BACKEND_URL=http://localhost:4300/\nNEXT_PUBLIC_BASE_PATH=/dashboard" > .env
 docker compose --env-file .env --profile server up