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In my repository, you’ll find end-to-end projects that utilize both local models (leveraging Ollama) and APIs. Additionally, I’ve created end-to-end projects using Langchain.

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fantasy-python-guru/Langchain-with-End-to-End

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python -m venv TransVid: This line creates a virtual environment named TransVid.

TransVid\Scripts\activate: This line activates the virtual environment that was created in the first step. When the virtual environment is activated, you can install and use packages that are isolated from the global Python environment.

streamlit run File.py This line runs a Streamlit application. Streamlit applications are Python scripts that use the Streamlit library to create interactive, web-based dashboards. The streamlit run command is used to execute the application.

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In my repository, you’ll find end-to-end projects that utilize both local models (leveraging Ollama) and APIs. Additionally, I’ve created end-to-end projects using Langchain.

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