{"data":{"slug":"hwchase17-langchain-streamlit-template","name":"langchain-streamlit-template","tagline":"langchain-streamlit-template","github_url":"https://github.com/hwchase17/langchain-streamlit-template","owner":"hwchase17","repo":"langchain-streamlit-template","owner_avatar_url":"https://avatars.githubusercontent.com/u/11986836?v=4","primary_language":"Python","stars":298,"forks":143,"topics":[],"archived":false,"github_pushed_at":"2025-01-11T03:25:35+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/hwchase17-langchain-streamlit-template","markdown_url":"https://www.graphcanon.com/tools/hwchase17-langchain-streamlit-template.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/hwchase17-langchain-streamlit-template","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=hwchase17-langchain-streamlit-template","description":null,"homepage_url":null,"license":null,"open_issues":3,"watchers":4,"ai_summary":null,"readme_excerpt":"# LangChain-Streamlit Template\n\nThis repo serves as a template for how to deploy a [LangGraph](https://langchain-ai.github.io/langgraph/) agent on Streamlit.\n\nThis repo contains an `main.py` file which has a template for a chatbot implementation.\n\n## Adding your chain\n\nTo add your chain, you need to change the `load_chain` function in `main.py`.\nDepending on the type of your chain, you may also need to change the inputs/outputs that occur later on.\n\n## Run locally\n\nAfter installing dependencies with e.g. `$ pip install -r requirements.txt`, you can run this project locally with the following command:\n\n```sh\n$ streamlit run main.py\n```\n\n## Deploy on Streamlit\n\nThis is easily deployable on the Streamlit platform.\nNote that when setting up your Streamlit app you should make sure to add `OPENAI_API_KEY` as a secret environment variable.\n\n## Setting up LangSmith\n\nTo quickly spot issues and improve the performance of your LangGraph projects, sign up for [LangSmith](https://docs.smith.langchain.com/). LangSmith lets you use trace data to debug, test, and monitor your LLM apps built with LangGraph — read more about how to get started [here](https://docs.smith.langchain.com/).","github_created_at":"2023-01-09T04:28:41+00:00","created_at":"2026-07-11T10:47:52.293026+00:00","updated_at":"2026-07-11T10:47:55.230053+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"}],"tags":[{"slug":"python","name":"python"}],"trust":{"provenance":{"is_fork":false,"github_id":586726380,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T10:47:52.901Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":546,"last_release_at":null},"security_summary":{"status":"ok","scanner":"osv@v1","low_count":0,"high_count":0,"last_scan_at":"2026-07-11T10:47:53.711Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T10:47:53.357Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-07-11T10:47:53.357Z"}}}}