Part 2: Deploy your Streamlit python Apps for Free on Streamlit Cloud

Опубликовано: 02 Май 2026
на канале: VantageLeaps
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In this video, we showcase the deployment of a Streamlit application on Share Streamlit, completely free of charge. Share Streamlit seamlessly integrates with your GitHub repository for deployment and generously offers a storage capacity of up to 1 GB, all without any associated costs. This is an incredibly valuable resource, especially for those looking to deploy their hobby projects. Be sure to tune in to the video to witness the deployment process of our Diet and workout recommendation application.
#llama2 #langchain #generativeai #llm #largelanguagemodels #deploy #apps #cloud

Part 1:Diet and Workout Recommendation App Video:   • Part 1:Build a Food and Workout Recommenda...  
streamlit docs:https://docs.streamlit.io/streamlit-c...