Hotfixes: Dark Mode classes and Text Wrapper (#309)
This commit is contained in:
Gabriel Luiz Freitas Almeida
GitHub
commit
830a2e3119
42 changed files with 5230 additions and 17598 deletions
17
.github/stale.yml
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17
.github/stale.yml
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@ -0,0 +1,17 @@
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# Number of days of inactivity before an issue becomes stale
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daysUntilStale: 45
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# Number of days of inactivity before a stale issue is closed
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daysUntilClose: 7
|
||||
# Issues with these labels will never be considered stale
|
||||
exemptLabels:
|
||||
- pinned
|
||||
- security
|
||||
# Label to use when marking an issue as stale
|
||||
staleLabel: stale
|
||||
# Comment to post when marking an issue as stale. Set to `false` to disable
|
||||
markComment: >
|
||||
This issue has been automatically marked as stale because it has not had
|
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recent activity. It will be closed if no further activity occurs. Thank you
|
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for your contributions.
|
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# Comment to post when closing a stale issue. Set to `false` to disable
|
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closeComment: false
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14
Dockerfile
14
Dockerfile
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@ -1,14 +0,0 @@
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FROM python:3.10-slim
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RUN apt-get update && apt-get install gcc g++ git make -y
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RUN useradd -m -u 1000 user
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USER user
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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|
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WORKDIR $HOME/app
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|
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COPY --chown=user . $HOME/app
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RUN pip install langflow>==0.0.71 -U --user
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CMD ["langflow", "--host", "0.0.0.0", "--port", "7860"]
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@ -6,14 +6,14 @@ This guide will help you set up a Langflow development VM in a Google Cloud Plat
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|
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## Standard VM
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[](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/genome21/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial.md)
|
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[](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial.md)
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|
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This script sets up a Debian-based VM with the Langflow package, Nginx, and the necessary configurations to run the Langflow Dev environment.
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<hr>
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## Spot/Preemptible Instance
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[](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/genome21/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial.md)
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[](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/genome21/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial_spot.md)
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When running as a [spot (preemptible) instance](https://cloud.google.com/compute/docs/instances/preemptible), the code and VM will behave the same way as in a regular instance, executing the startup script to configure the environment, install necessary dependencies, and run the Langflow application. However, **due to the nature of spot instances, the VM may be terminated at any time if Google Cloud needs to reclaim the resources**. This makes spot instances suitable for fault-tolerant, stateless, or interruptible workloads that can handle unexpected terminations and restarts.
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@ -37,6 +37,15 @@ or
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langflow
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```
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### Deploy Langflow on Google Cloud Platform
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Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in the [**Langflow in Google Cloud Platform**](GCP_DEPLOYMENT.md) document.
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|
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Alternatively, click the **"Open in Cloud Shell"** button below to launch Google Cloud Shell, clone the Langflow repository, and start an **interactive tutorial** that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project.
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|
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[](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial_spot.md)
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|
||||
|
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### Deploy Langflow on Google Cloud Platform
|
||||
|
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Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in the [**Langflow in Google Cloud Platform**](GCP_DEPLOYMENT.md) document.
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|
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@ -17,6 +17,8 @@ services:
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dockerfile: ./dev.Dockerfile
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args:
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- BACKEND_URL=http://backend:7860
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environment:
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- VITE_PROXY_TARGET=http://backend:7860
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ports:
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- "3000:3000"
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volumes:
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|
|
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@ -1,7 +1,14 @@
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FROM python:3.11-slim
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FROM python:3.10-slim
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|
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RUN apt-get update && apt-get install gcc -y
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RUN pip install langflow>=0.0.33
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RUN apt-get update && apt-get install gcc g++ git make -y
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RUN useradd -m -u 1000 user
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USER user
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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EXPOSE 7860
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CMD ["langflow", "--host", "0.0.0.0"]
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WORKDIR $HOME/app
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COPY --chown=user . $HOME/app
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RUN pip install langflow>==0.0.71 -U --user
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CMD ["langflow", "--host", "0.0.0.0", "--port", "7860"]
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|
|
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38
poetry.lock
generated
38
poetry.lock
generated
|
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@ -511,14 +511,14 @@ files = [
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|||
|
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[[package]]
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name = "chromadb"
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version = "0.3.22"
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||||
version = "0.3.23"
|
||||
description = "Chroma."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "chromadb-0.3.22-py3-none-any.whl", hash = "sha256:54b58e562ab8a63194ce3b453633ce351475193de2184845f0577db969f1cf49"},
|
||||
{file = "chromadb-0.3.22.tar.gz", hash = "sha256:41acb262c2c7bb41afecd50737f440dce3fdaa3d3fe1749d0e4be1ffc8699e63"},
|
||||
{file = "chromadb-0.3.23-py3-none-any.whl", hash = "sha256:c1e04fddff0916243895bedeffc1977745328f62404d70981eb1a0cb9dcdfaf3"},
|
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{file = "chromadb-0.3.23.tar.gz", hash = "sha256:87fa922c92e2e90fb48234b435e9d4f0c61646fbd1526062f53f63326fc21228"},
|
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]
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[package.dependencies]
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@ -1180,20 +1180,19 @@ grpc = ["grpcio (>=1.44.0,<2.0.0dev)"]
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|
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[[package]]
|
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name = "gptcache"
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version = "0.1.23"
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version = "0.1.24"
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||||
description = "GPTCache, a powerful caching library that can be used to speed up and lower the cost of chat applications that rely on the LLM service. GPTCache works as a memcache for AIGC applications, similar to how Redis works for traditional applications."
|
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category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.8.1"
|
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files = [
|
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{file = "gptcache-0.1.23-py3-none-any.whl", hash = "sha256:8bcd366e1dd5de432e113831afdea97493f090372a752a42b9ff16cb8c818635"},
|
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{file = "gptcache-0.1.23.tar.gz", hash = "sha256:5b5e3ef6f5df35f948bd203d1e33f3985459e60be436547529ff8b31f245238d"},
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||||
{file = "gptcache-0.1.24-py3-none-any.whl", hash = "sha256:070aad4867ab915a7b5db3a886e9f0289e52d1cb92a407c984b0241298079750"},
|
||||
{file = "gptcache-0.1.24.tar.gz", hash = "sha256:aa591cb00898d457a50a5e0cd137d0119e86819c110ce6c7bce2adafeae0a467"},
|
||||
]
|
||||
|
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[package.dependencies]
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cachetools = "*"
|
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numpy = "*"
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openai = "*"
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requests = "*"
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|
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[[package]]
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@ -1528,14 +1527,14 @@ files = [
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[[package]]
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name = "ipykernel"
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version = "6.23.0"
|
||||
version = "6.23.1"
|
||||
description = "IPython Kernel for Jupyter"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "ipykernel-6.23.0-py3-none-any.whl", hash = "sha256:fc886f1dcdc0ec17f277e4d21fd071c857d381adcb04f3f3735d25325ca323c6"},
|
||||
{file = "ipykernel-6.23.0.tar.gz", hash = "sha256:bd6f487d9e2744c84f6e667d46462d7647a4c862e70e08282f05a52b9d4b705f"},
|
||||
{file = "ipykernel-6.23.1-py3-none-any.whl", hash = "sha256:77aeffab056c21d16f1edccdc9e5ccbf7d96eb401bd6703610a21be8b068aadc"},
|
||||
{file = "ipykernel-6.23.1.tar.gz", hash = "sha256:1aba0ae8453e15e9bc6b24e497ef6840114afcdb832ae597f32137fa19d42a6f"},
|
||||
]
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|
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[package.dependencies]
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|
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@ -1697,14 +1696,14 @@ test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
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|
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[[package]]
|
||||
name = "langchain"
|
||||
version = "0.0.166"
|
||||
version = "0.0.170"
|
||||
description = "Building applications with LLMs through composability"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
files = [
|
||||
{file = "langchain-0.0.166-py3-none-any.whl", hash = "sha256:32417cc38ba211d46c3e97f29cb8124175fe46047bda14a4c634351b005acd21"},
|
||||
{file = "langchain-0.0.166.tar.gz", hash = "sha256:fb1e90eb0aeef9c574e6683586bfbfed1974e187dd8261b571cb33888c35a92e"},
|
||||
{file = "langchain-0.0.170-py3-none-any.whl", hash = "sha256:3543c14c08d39c0eef2d1a88a98161a25329720660811c546c8881d91c272c77"},
|
||||
{file = "langchain-0.0.170.tar.gz", hash = "sha256:799e047857b0b12606255e4e843c7eb3724ddb85242c97dccd49b007e40486bf"},
|
||||
]
|
||||
|
||||
[package.dependencies]
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||||
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@ -1719,29 +1718,28 @@ PyYAML = ">=5.4.1"
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|||
requests = ">=2,<3"
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SQLAlchemy = ">=1.4,<3"
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||||
tenacity = ">=8.1.0,<9.0.0"
|
||||
tqdm = ">=4.48.0"
|
||||
|
||||
[package.extras]
|
||||
all = ["O365 (>=2.0.26,<3.0.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.2.6,<0.3.0)", "arxiv (>=1.4,<2.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "beautifulsoup4 (>=4,<5)", "clickhouse-connect (>=0.5.14,<0.6.0)", "cohere (>=3,<4)", "deeplake (>=3.3.0,<4.0.0)", "docarray (>=0.31.0,<0.32.0)", "duckduckgo-search (>=2.8.6,<3.0.0)", "elasticsearch (>=8,<9)", "faiss-cpu (>=1,<2)", "google-api-python-client (==2.70.0)", "google-search-results (>=2,<3)", "gptcache (>=0.1.7)", "hnswlib (>=0.7.0,<0.8.0)", "html2text (>=2020.1.16,<2021.0.0)", "huggingface_hub (>=0,<1)", "jina (>=3.14,<4.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "lancedb (>=0.1,<0.2)", "lark (>=1.1.5,<2.0.0)", "manifest-ml (>=0.0.1,<0.0.2)", "networkx (>=2.6.3,<3.0.0)", "nlpcloud (>=1,<2)", "nltk (>=3,<4)", "nomic (>=1.0.43,<2.0.0)", "openai (>=0,<1)", "opensearch-py (>=2.0.0,<3.0.0)", "pexpect (>=4.8.0,<5.0.0)", "pgvector (>=0.1.6,<0.2.0)", "pinecone-client (>=2,<3)", "pinecone-text (>=0.4.2,<0.5.0)", "protobuf (==3.19)", "psycopg2-binary (>=2.9.5,<3.0.0)", "pyowm (>=3.3.0,<4.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pytesseract (>=0.3.10,<0.4.0)", "pyvespa (>=0.33.0,<0.34.0)", "qdrant-client (>=1.1.2,<2.0.0)", "redis (>=4,<5)", "sentence-transformers (>=2,<3)", "spacy (>=3,<4)", "tensorflow-text (>=2.11.0,<3.0.0)", "tiktoken (>=0.3.2,<0.4.0)", "torch (>=1,<3)", "transformers (>=4,<5)", "weaviate-client (>=3,<4)", "wikipedia (>=1,<2)", "wolframalpha (==5.0.0)"]
|
||||
all = ["O365 (>=2.0.26,<3.0.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.2.6,<0.3.0)", "arxiv (>=1.4,<2.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "beautifulsoup4 (>=4,<5)", "clickhouse-connect (>=0.5.14,<0.6.0)", "cohere (>=3,<4)", "deeplake (>=3.3.0,<4.0.0)", "docarray (>=0.31.0,<0.32.0)", "duckduckgo-search (>=2.8.6,<3.0.0)", "elasticsearch (>=8,<9)", "faiss-cpu (>=1,<2)", "google-api-python-client (==2.70.0)", "google-search-results (>=2,<3)", "gptcache (>=0.1.7)", "hnswlib (>=0.7.0,<0.8.0)", "html2text (>=2020.1.16,<2021.0.0)", "huggingface_hub (>=0,<1)", "jina (>=3.14,<4.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "lancedb (>=0.1,<0.2)", "lark (>=1.1.5,<2.0.0)", "manifest-ml (>=0.0.1,<0.0.2)", "networkx (>=2.6.3,<3.0.0)", "nlpcloud (>=1,<2)", "nltk (>=3,<4)", "nomic (>=1.0.43,<2.0.0)", "openai (>=0,<1)", "opensearch-py (>=2.0.0,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pexpect (>=4.8.0,<5.0.0)", "pgvector (>=0.1.6,<0.2.0)", "pinecone-client (>=2,<3)", "pinecone-text (>=0.4.2,<0.5.0)", "protobuf (==3.19)", "psycopg2-binary (>=2.9.5,<3.0.0)", "pyowm (>=3.3.0,<4.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pytesseract (>=0.3.10,<0.4.0)", "pyvespa (>=0.33.0,<0.34.0)", "qdrant-client (>=1.1.2,<2.0.0)", "redis (>=4,<5)", "sentence-transformers (>=2,<3)", "spacy (>=3,<4)", "steamship (>=2.16.9,<3.0.0)", "tensorflow-text (>=2.11.0,<3.0.0)", "tiktoken (>=0.3.2,<0.4.0)", "torch (>=1,<3)", "transformers (>=4,<5)", "weaviate-client (>=3,<4)", "wikipedia (>=1,<2)", "wolframalpha (==5.0.0)"]
|
||||
azure = ["azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "openai (>=0,<1)"]
|
||||
cohere = ["cohere (>=3,<4)"]
|
||||
embeddings = ["sentence-transformers (>=2,<3)"]
|
||||
extended-testing = ["pdfminer-six (>=20221105,<20221106)", "pypdf (>=3.4.0,<4.0.0)"]
|
||||
extended-testing = ["jq (>=1.4.1,<2.0.0)", "lxml (>=4.9.2,<5.0.0)", "pdfminer-six (>=20221105,<20221106)", "pypdf (>=3.4.0,<4.0.0)", "tqdm (>=4.48.0)"]
|
||||
hnswlib = ["docarray (>=0.31.0,<0.32.0)", "hnswlib (>=0.7.0,<0.8.0)", "protobuf (==3.19)"]
|
||||
in-memory-store = ["docarray (>=0.31.0,<0.32.0)"]
|
||||
llms = ["anthropic (>=0.2.6,<0.3.0)", "cohere (>=3,<4)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (>=0,<1)", "torch (>=1,<3)", "transformers (>=4,<5)"]
|
||||
openai = ["openai (>=0,<1)"]
|
||||
openai = ["openai (>=0,<1)", "tiktoken (>=0.3.2,<0.4.0)"]
|
||||
qdrant = ["qdrant-client (>=1.1.2,<2.0.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "llama-cpp-python"
|
||||
version = "0.1.23"
|
||||
version = "0.1.50"
|
||||
description = "A Python wrapper for llama.cpp"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "llama_cpp_python-0.1.23.tar.gz", hash = "sha256:323a937e68e04251b5ad1804922e05d15c8b6bfbcf7c3e683a7b39a20e165ebf"},
|
||||
{file = "llama_cpp_python-0.1.50.tar.gz", hash = "sha256:e305ae1b9f135f94afd8dd227701e6a1cd36db9c28f736b830ec364127c00bb9"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -4840,4 +4838,4 @@ cffi = ["cffi (>=1.11)"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.9"
|
||||
content-hash = "d914f734f4ff1bcbe8e678d46b20b73c3565b3af6f5dd0ac0359fae800c6bf2e"
|
||||
content-hash = "0524829f482c4eab8c25205d68dcec64084a28823de82cd3c3737e6bb74439c7"
|
||||
|
|
|
|||
|
|
@ -29,7 +29,7 @@ google-search-results = "^2.4.1"
|
|||
google-api-python-client = "^2.79.0"
|
||||
typer = "^0.7.0"
|
||||
gunicorn = "^20.1.0"
|
||||
langchain = "^0.0.166"
|
||||
langchain = "^0.0.170"
|
||||
openai = "^0.27.2"
|
||||
types-pyyaml = "^6.0.12.8"
|
||||
dill = "^0.3.6"
|
||||
|
|
@ -37,7 +37,7 @@ pandas = "^1.5.3"
|
|||
chromadb = "^0.3.21"
|
||||
huggingface-hub = "^0.13.3"
|
||||
rich = "^13.3.3"
|
||||
llama-cpp-python = "0.1.23"
|
||||
llama-cpp-python = "0.1.50"
|
||||
networkx = "^3.1"
|
||||
unstructured = "^0.5.11"
|
||||
pypdf = "^3.7.1"
|
||||
|
|
|
|||
|
|
@ -26,16 +26,16 @@ if [[ -z "$subnet_exists" ]]; then
|
|||
gcloud compute networks subnets create $SUBNET_NAME --network=$VPC_NAME --region=$REGION --range=$SUBNET_RANGE
|
||||
fi
|
||||
|
||||
# Create a firewall rule to allow TCP port 8080 for all instances in the VPC
|
||||
firewall_8080_exists=$(gcloud compute firewall-rules list --filter="name=allow-tcp-8080" --format="value(name)")
|
||||
if [[ -z "$firewall_8080_exists" ]]; then
|
||||
gcloud compute firewall-rules create allow-tcp-8080 --network $VPC_NAME --allow tcp:8080 --source-ranges 0.0.0.0/0 --direction INGRESS
|
||||
# Create a firewall rule to allow TCP port 7860 for all instances in the VPC
|
||||
firewall_7860_exists=$(gcloud compute firewall-rules list --filter="name=allow-tcp-7860" --format="value(name)")
|
||||
if [[ -z "$firewall_7860_exists" ]]; then
|
||||
gcloud compute firewall-rules create allow-tcp-7860 --network $VPC_NAME --allow tcp:7860 --source-ranges 0.0.0.0/0 --direction INGRESS
|
||||
fi
|
||||
|
||||
# Create a firewall rule to allow IAP traffic
|
||||
firewall_iap_exists=$(gcloud compute firewall-rules list --filter="name=allow-iap" --format="value(name)")
|
||||
if [[ -z "$firewall_iap_exists" ]]; then
|
||||
gcloud compute firewall-rules create allow-iap --network $VPC_NAME --allow tcp:80,tcp:443 --source-ranges 35.235.240.0/20 --direction INGRESS
|
||||
gcloud compute firewall-rules create allow-iap --network $VPC_NAME --allow tcp:80,tcp:443,tcp:22,:tcp:3389 --source-ranges 35.235.240.0/20 --direction INGRESS
|
||||
fi
|
||||
|
||||
# Define the startup script as a multiline Bash here-doc
|
||||
|
|
@ -49,24 +49,7 @@ apt -y upgrade
|
|||
# Install Python 3 pip, Langflow, and Nginx
|
||||
apt -y install python3-pip
|
||||
pip install langflow
|
||||
apt-get -y install nginx
|
||||
|
||||
# Configure Nginx for Langflow
|
||||
touch /etc/nginx/sites-available/langflow-app
|
||||
echo "server {
|
||||
listen 0.0.0.0:8080;
|
||||
|
||||
location / {
|
||||
proxy_pass http://127.0.0.1:7860;
|
||||
proxy_set_header Host "\$host";
|
||||
proxy_set_header X-Real-IP "\$remote_addr";
|
||||
proxy_set_header X-Forwarded-For "\$proxy_add_x_forwarded_for";
|
||||
}
|
||||
}" >> /etc/nginx/sites-available/langflow-app
|
||||
ln -s /etc/nginx/sites-available/langflow-app /etc/nginx/sites-enabled/
|
||||
sudo nginx -t
|
||||
sudo systemctl restart nginx
|
||||
langflow
|
||||
langflow --host 0.0.0.0 --port 7860
|
||||
EOF
|
||||
)
|
||||
|
||||
|
|
|
|||
|
|
@ -26,16 +26,16 @@ if [[ -z "$subnet_exists" ]]; then
|
|||
gcloud compute networks subnets create $SUBNET_NAME --network=$VPC_NAME --region=$REGION --range=$SUBNET_RANGE
|
||||
fi
|
||||
|
||||
# Create a firewall rule to allow TCP port 8080 for all instances in the VPC
|
||||
firewall_8080_exists=$(gcloud compute firewall-rules list --filter="name=allow-tcp-8080" --format="value(name)")
|
||||
if [[ -z "$firewall_8080_exists" ]]; then
|
||||
gcloud compute firewall-rules create allow-tcp-8080 --network $VPC_NAME --allow tcp:8080 --source-ranges 0.0.0.0/0 --direction INGRESS
|
||||
# Create a firewall rule to allow TCP port 7860 for all instances in the VPC
|
||||
firewall_7860_exists=$(gcloud compute firewall-rules list --filter="name=allow-tcp-7860" --format="value(name)")
|
||||
if [[ -z "$firewall_7860_exists" ]]; then
|
||||
gcloud compute firewall-rules create allow-tcp-7860 --network $VPC_NAME --allow tcp:7860 --source-ranges 0.0.0.0/0 --direction INGRESS
|
||||
fi
|
||||
|
||||
# Create a firewall rule to allow IAP traffic
|
||||
firewall_iap_exists=$(gcloud compute firewall-rules list --filter="name=allow-iap" --format="value(name)")
|
||||
if [[ -z "$firewall_iap_exists" ]]; then
|
||||
gcloud compute firewall-rules create allow-iap --network $VPC_NAME --allow tcp:80,tcp:443 --source-ranges 35.235.240.0/20 --direction INGRESS
|
||||
gcloud compute firewall-rules create allow-iap --network $VPC_NAME --allow tcp:80,tcp:443,tcp:22,:tcp:3389 --source-ranges 35.235.240.0/20 --direction INGRESS
|
||||
fi
|
||||
|
||||
# Define the startup script as a multiline Bash here-doc
|
||||
|
|
@ -49,24 +49,7 @@ apt -y upgrade
|
|||
# Install Python 3 pip, Langflow, and Nginx
|
||||
apt -y install python3-pip
|
||||
pip install langflow
|
||||
apt-get -y install nginx
|
||||
|
||||
# Configure Nginx for Langflow
|
||||
touch /etc/nginx/sites-available/langflow-app
|
||||
echo "server {
|
||||
listen 0.0.0.0:8080;
|
||||
|
||||
location / {
|
||||
proxy_pass http://127.0.0.1:7860;
|
||||
proxy_set_header Host "\$host";
|
||||
proxy_set_header X-Real-IP "\$remote_addr";
|
||||
proxy_set_header X-Forwarded-For "\$proxy_add_x_forwarded_for";
|
||||
}
|
||||
}" >> /etc/nginx/sites-available/langflow-app
|
||||
ln -s /etc/nginx/sites-available/langflow-app /etc/nginx/sites-enabled/
|
||||
sudo nginx -t
|
||||
sudo systemctl restart nginx
|
||||
langflow
|
||||
langflow --host 0.0.0.0 --port 7860
|
||||
EOF
|
||||
)
|
||||
|
||||
|
|
@ -84,7 +67,7 @@ gcloud compute instances create $VM_NAME \
|
|||
--zone $ZONE \
|
||||
--network $VPC_NAME \
|
||||
--subnet $SUBNET_NAME \
|
||||
-preemptible
|
||||
--preemptible
|
||||
|
||||
# Remove the temporary file after the VM is created
|
||||
rm $tempfile
|
||||
|
|
|
|||
|
|
@ -37,7 +37,7 @@ The script will:
|
|||
1. Check if the required resources (VPC, subnet, firewall rules, and Cloud Router) exist and create them if needed
|
||||
2. Create a startup script to install Python, Langflow, and Nginx
|
||||
3. Create a Compute Engine VM instance with the specified configuration and startup script
|
||||
4. Configure Nginx to serve Langflow on TCP port 8080
|
||||
4. Run Langflow to serve content on TCP port 7860
|
||||
|
||||
<walkthrough-pin-section-icon></walkthrough-pin-section-icon>
|
||||
> The process may take approximately 30 minutes to complete. Rest assured that progress is being made, and you'll be able to proceed once the process is finished.
|
||||
|
|
@ -47,13 +47,13 @@ In the next step, you'll learn how to connect to the Langflow VM.
|
|||
## Connect to the Langflow VM
|
||||
To connect to your new Langflow VM, follow these steps:
|
||||
|
||||
1. Navigate to the [VM instances](https://console.cloud.google.com/compute/instances) page and click on the external IP for your VM. Make sure to use HTTP and set the port to 8080
|
||||
1. Navigate to the [VM instances](https://console.cloud.google.com/compute/instances) page and click on the external IP for your VM. Make sure to use HTTP and set the port to 7860
|
||||
<br>**or**
|
||||
3. Run the following command to display the URL for your Langflow environment:
|
||||
```bash
|
||||
export LANGFLOW_IP=$(gcloud compute instances list --filter="NAME=langflow-dev" --format="value(EXTERNAL_IP)")
|
||||
|
||||
echo http://$LANGFLOW_IP:8080
|
||||
echo http://$LANGFLOW_IP:7860
|
||||
```
|
||||
|
||||
4. Click on the Langflow URL in cloudshell to be greeted by the Langflow Dev environment
|
||||
|
|
@ -76,7 +76,7 @@ However, if you decide to remove them after completing the walkthrough, you can
|
|||
> These commands will delete the firewall rules and network configurations created during the walkthrough. Make sure to run them only if you no longer need these settings.
|
||||
|
||||
```
|
||||
gcloud compute firewall-rules delete allow-tcp-8080 --quiet
|
||||
gcloud compute firewall-rules delete allow-tcp-7860 --quiet
|
||||
|
||||
gcloud compute firewall-rules delete allow-iap --quiet
|
||||
|
||||
|
|
|
|||
|
|
@ -29,7 +29,7 @@ Run the deploy_langflow_gcp_spot.sh script to configure the GCP environment and
|
|||
|
||||
```sh
|
||||
gcloud config set project <walkthrough-project-id/>
|
||||
bash ./deploy_langflow_gcp.sh
|
||||
bash ./deploy_langflow_gcp_spot.sh
|
||||
```
|
||||
|
||||
The script will:
|
||||
|
|
@ -37,7 +37,7 @@ The script will:
|
|||
1. Check if the required resources (VPC, subnet, firewall rules, and Cloud Router) exist and create them if needed
|
||||
2. Create a startup script to install Python, Langflow, and Nginx
|
||||
3. Create a Compute Engine VM instance with the specified configuration and startup script
|
||||
4. Configure Nginx to serve Langflow on TCP port 8080
|
||||
4. Run Langflow to serve content on TCP port 7860
|
||||
|
||||
> <walkthrough-pin-section-icon></walkthrough-pin-section-icon> The process may take approximately 30 minutes to complete. Rest assured that progress is being made, and you'll be able to proceed once the process is finished.
|
||||
|
||||
|
|
@ -46,13 +46,13 @@ In the next step, you'll learn how to connect to the Langflow VM.
|
|||
## Connect to the Langflow VM
|
||||
To connect to your new Langflow VM, follow these steps:
|
||||
|
||||
1. Navigate to the [VM instances](https://console.cloud.google.com/compute/instances) page and click on the external IP for your VM. Make sure to use HTTP and set the port to 8080
|
||||
1. Navigate to the [VM instances](https://console.cloud.google.com/compute/instances) page and click on the external IP for your VM. Make sure to use HTTP and set the port to 7860
|
||||
<br>**or**
|
||||
3. Run the following command to display the URL for your Langflow environment:
|
||||
```bash
|
||||
export LANGFLOW_IP=$(gcloud compute instances list --filter="NAME=langflow-dev" --format="value(EXTERNAL_IP)")
|
||||
|
||||
echo http://$LANGFLOW_IP:8080
|
||||
echo http://$LANGFLOW_IP:7860
|
||||
```
|
||||
|
||||
4. Click on the Langflow URL in cloudshell to be greeted by the Langflow Dev environment
|
||||
|
|
@ -73,7 +73,7 @@ However, if you decide to remove them after completing the walkthrough, you can
|
|||
> <walkthrough-pin-section-icon></walkthrough-pin-section-icon> These commands will delete the firewall rules and network configurations created during the walkthrough. Make sure to run them only if you no longer need these settings.
|
||||
|
||||
```
|
||||
gcloud compute firewall-rules delete allow-tcp-8080 --quiet
|
||||
gcloud compute firewall-rules delete allow-tcp-7860 --quiet
|
||||
|
||||
gcloud compute firewall-rules delete allow-iap --quiet
|
||||
|
||||
|
|
|
|||
|
|
@ -1,3 +1,4 @@
|
|||
from importlib.metadata import version
|
||||
import logging
|
||||
|
||||
from fastapi import APIRouter, HTTPException
|
||||
|
|
@ -33,3 +34,14 @@ async def get_load(predict_request: PredictRequest):
|
|||
# Log stack trace
|
||||
logger.exception(e)
|
||||
raise HTTPException(status_code=500, detail=str(e)) from e
|
||||
|
||||
|
||||
# get endpoint to return version of langflow
|
||||
@router.get("/version")
|
||||
def get_version():
|
||||
return {"version": version("langflow")}
|
||||
|
||||
|
||||
@router.get("/health")
|
||||
def get_health():
|
||||
return {"status": "OK"}
|
||||
|
|
|
|||
|
|
@ -17,7 +17,9 @@ from langchain.agents.agent_toolkits import (
|
|||
from langchain.agents.agent_toolkits.json.prompt import JSON_PREFIX, JSON_SUFFIX
|
||||
from langchain.agents.agent_toolkits.json.toolkit import JsonToolkit
|
||||
from langchain.agents.agent_toolkits.pandas.prompt import PREFIX as PANDAS_PREFIX
|
||||
from langchain.agents.agent_toolkits.pandas.prompt import SUFFIX as PANDAS_SUFFIX
|
||||
from langchain.agents.agent_toolkits.pandas.prompt import (
|
||||
SUFFIX_WITH_DF as PANDAS_SUFFIX,
|
||||
)
|
||||
from langchain.agents.agent_toolkits.sql.prompt import SQL_PREFIX, SQL_SUFFIX
|
||||
from langchain.agents.agent_toolkits.vectorstore.prompt import (
|
||||
PREFIX as VECTORSTORE_PREFIX,
|
||||
|
|
|
|||
|
|
@ -54,7 +54,7 @@ def instantiate_based_on_type(class_object, base_type, node_type, params):
|
|||
if base_type == "agents":
|
||||
return instantiate_agent(class_object, params)
|
||||
elif base_type == "prompts":
|
||||
return instantiate_prompt(class_object, node_type, params)
|
||||
return instantiate_prompt(node_type, class_object, params)
|
||||
elif base_type == "tools":
|
||||
return instantiate_tool(node_type, class_object, params)
|
||||
elif base_type == "toolkits":
|
||||
|
|
@ -77,7 +77,7 @@ def instantiate_agent(class_object, params):
|
|||
return load_agent_executor(class_object, params)
|
||||
|
||||
|
||||
def instantiate_prompt(class_object, node_type, params):
|
||||
def instantiate_prompt(node_type, class_object, params):
|
||||
if node_type == "ZeroShotPrompt":
|
||||
if "tools" not in params:
|
||||
params["tools"] = []
|
||||
|
|
@ -96,7 +96,7 @@ def instantiate_tool(node_type, class_object, params):
|
|||
raise ValueError("Function should be a string")
|
||||
elif node_type.lower() == "tool":
|
||||
return class_object(**params)
|
||||
return None # Or some other default action
|
||||
return class_object(**params)
|
||||
|
||||
|
||||
def instantiate_toolkit(node_type, class_object, params):
|
||||
|
|
|
|||
|
|
@ -23,4 +23,4 @@ RUN chmod +x set_proxy.sh && \
|
|||
USER node
|
||||
|
||||
RUN npm install --loglevel warn
|
||||
CMD ["npm", "start"]
|
||||
CMD ["npm", "run", "dev:docker"]
|
||||
15
src/frontend/index.html
Normal file
15
src/frontend/index.html
Normal file
|
|
@ -0,0 +1,15 @@
|
|||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta http-equiv="X-UA-Compatible" content="IE=edge">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<link rel="icon" href="/favicon.ico" />
|
||||
<title>LangFlow</title>
|
||||
</head>
|
||||
<body id='body' style="width: 100%; height:100%">
|
||||
<noscript>You need to enable JavaScript to run this app.</noscript>
|
||||
<div style="width: 100vw; height:100vh" id='root'></div>
|
||||
<script type="module" src="/src/index.tsx"></script>
|
||||
</body>
|
||||
</html>
|
||||
15108
src/frontend/package-lock.json
generated
15108
src/frontend/package-lock.json
generated
File diff suppressed because it is too large
Load diff
|
|
@ -11,13 +11,6 @@
|
|||
"@tabler/icons-react": "^2.18.0",
|
||||
"@tailwindcss/forms": "^0.5.3",
|
||||
"@tailwindcss/line-clamp": "^0.4.4",
|
||||
"@testing-library/jest-dom": "^5.16.5",
|
||||
"@testing-library/react": "^13.4.0",
|
||||
"@testing-library/user-event": "^13.5.0",
|
||||
"@types/jest": "^27.5.2",
|
||||
"@types/node": "^16.18.12",
|
||||
"@types/react": "^18.0.27",
|
||||
"@types/react-dom": "^18.0.10",
|
||||
"ace-builds": "^1.16.0",
|
||||
"ansi-to-html": "^0.7.2",
|
||||
"axios": "^1.3.2",
|
||||
|
|
@ -32,23 +25,20 @@
|
|||
"react-laag": "^2.0.5",
|
||||
"react-markdown": "^8.0.7",
|
||||
"react-router-dom": "^6.8.1",
|
||||
"react-scripts": "5.0.1",
|
||||
"react-syntax-highlighter": "^15.5.0",
|
||||
"react-syntax-highlighter": "^15.5.0",
|
||||
"react-tabs": "^6.0.0",
|
||||
"reactflow": "^11.5.5",
|
||||
"rehype-mathjax": "^4.0.2",
|
||||
"remark-gfm": "^3.0.1",
|
||||
"remark-math": "^5.1.1",
|
||||
"tailwindcss": "^3.2.6",
|
||||
"typescript": "^4.9.5",
|
||||
"uuid": "^9.0.0",
|
||||
"web-vitals": "^2.1.4"
|
||||
},
|
||||
"scripts": {
|
||||
"start": "react-scripts start",
|
||||
"build": "react-scripts build",
|
||||
"test": "react-scripts test",
|
||||
"eject": "react-scripts eject"
|
||||
"dev:docker": "vite --host 0.0.0.0",
|
||||
"start": "vite",
|
||||
"build": "vite build",
|
||||
"serve": "vite preview"
|
||||
},
|
||||
"eslintConfig": {
|
||||
"extends": [
|
||||
|
|
@ -70,6 +60,21 @@
|
|||
},
|
||||
"proxy": "http://127.0.0.1:7860",
|
||||
"devDependencies": {
|
||||
"@tailwindcss/typography": "^0.5.9"
|
||||
"@tailwindcss/typography": "^0.5.9",
|
||||
"@testing-library/jest-dom": "^5.16.5",
|
||||
"@testing-library/react": "^13.4.0",
|
||||
"@testing-library/user-event": "^13.5.0",
|
||||
"@types/jest": "^27.5.2",
|
||||
"@types/lodash": "^4.14.194",
|
||||
"@types/node": "^16.18.12",
|
||||
"@types/react": "^18.0.28",
|
||||
"@types/react-dom": "^18.0.11",
|
||||
"@types/uuid": "^9.0.1",
|
||||
"@vitejs/plugin-react-swc": "^3.0.0",
|
||||
"autoprefixer": "^10.4.14",
|
||||
"postcss": "^8.4.23",
|
||||
"tailwindcss": "^3.3.2",
|
||||
"typescript": "^5.0.2",
|
||||
"vite": "^4.3.5"
|
||||
}
|
||||
}
|
||||
}
|
||||
6
src/frontend/postcss.config.js
Normal file
6
src/frontend/postcss.config.js
Normal file
|
|
@ -0,0 +1,6 @@
|
|||
module.exports = {
|
||||
plugins: {
|
||||
tailwindcss: {},
|
||||
autoprefixer: {},
|
||||
},
|
||||
}
|
||||
Some files were not shown because too many files have changed in this diff Show more
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Reference in a new issue