marimo sandbox with qumo ollama

VB_interviews_sandbox.py

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+import marimo
+
+__generated_with = "0.18.0"
+app = marimo.App(width="medium")
+
+
+@app.cell
+def _():
+    import marimo as mo
+    return (mo,)
+
+
+@app.cell
+def _():
+    import ollama
+    from ollama import Client
+    client = Client(
+        host='http://ollama-vb.tail44fa00.ts.net:11434'
+    )
+    return (client,)
+
+
+@app.cell(hide_code=True)
+def _(mo):
+    mo.md(r"""
+    # Ollama Reference
+
+    ## Ollama Web-UI: http://ollama-vb.tail44fa00.ts.net:3000
+    Use the UI to modify system prompts, custom models, etc...
+
+    ## Ollama Python
+    Docs: https://github.com/ollama/ollama-python
+
+    Use the code below to programmatically interact with the models. E.g: create a small pipeline that loads a transcript and inserts it into the prompt. Helpful if we need to analyze 26 interviews...
+
+    **Important Definitions:**
+    - **Generate**: post a single message and get a response.
+    - **Chat**: post a single message and the previous chat history, and get a response
+    """)
+    return
+
+
+@app.cell
+def _(client):
+    client.list().models
+    return
+
+
+@app.cell(hide_code=True)
+def _(mo):
+    mo.md(r"""
+    # Sandbox Generate vs. Chat
+    """)
+    return
+
+
+@app.cell(hide_code=True)
+def _(mo):
+    mo.md(r"""
+    ## Chat
+    """)
+    return
+
+
+@app.cell
+def _(client):
+    response_chat = client.chat(model='deepseek-r1:7b', messages=[
+      {
+        'role': 'user',
+        'content': 'Why is the sky blue?',
+      },
+    ])
+    return (response_chat,)
+
+
+@app.cell
+def _(mo, response_chat):
+    mo.md(rf"""
+    {response_chat.message.content}
+    """)
+    return
+
+
+@app.cell(hide_code=True)
+def _(mo):
+    mo.md(r"""
+    ## Generate
+    """)
+    return
+
+
+@app.cell
+def _(client):
+    response_generate = client.generate(model='deepseek-r1:7b', prompt='Why is the sky blue?')
+    return (response_generate,)
+
+
+@app.cell
+def _(mo, response_generate):
+    mo.md(rf"""
+    {response_generate.response}
+    """)
+    return
+
+
+if __name__ == "__main__":
+    app.run()