Initial commit

2026-04-07 22:49:53 -04:00
commit acb9585eb6
9 changed files with 377 additions and 0 deletions
--- a/.commit_template
+++ b/.commit_template
@@ -0,0 +1,7 @@
+List five ideas for apps you would like to build with LLMs:
+
+1.
+2.
+3.
+4.
+5.
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1,10 @@
+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+dist/
+wheels/
+*.egg-info
+
+# Virtual environments
+.venv
--- a/.python-version
+++ b/.python-version
@@ -0,0 +1 @@
+3.13
--- a/README.md
+++ b/README.md
--- a/goodmorning.py
+++ b/goodmorning.py
@@ -0,0 +1,35 @@
+import ollama
+
+MODEL = "tinyllama"
+
+SYSTEM_PROMPT = """
+You are a helpful morning assistant. Help me get ready for school.
+"""
+
+
+def send_message(messages):
+    """Sends a conversation to the model, streaming its reply to the screen."""
+    print("\nAssistant: ", end="", flush=True)
+    reply = ""
+    for chunk in ollama.chat(model=MODEL, messages=messages, stream=True):
+        piece = chunk.message.content
+        print(piece, end="", flush=True)
+        reply += piece
+    print()
+    return reply
+
+
+def run():
+    """Runs a chat loop, keeping track of the conversation."""
+    messages = [{"role": "system", "content": SYSTEM_PROMPT}]
+    print("Good morning! Type 'quit' to exit.")
+    while True:
+        user_input = input("\nYou: ")
+        if user_input.strip().lower() == "quit":
+            break
+        messages.append({"role": "user", "content": user_input})
+        reply = send_message(messages)
+        messages.append({"role": "assistant", "content": reply})
+
+
+run()
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -0,0 +1,12 @@
+[project]
+name = "lab-local-models"
+version = "0.1.0"
+description = ""
+authors = [{ name = "Chris Proctor", email = "chris@chrisproctor.net" }]
+requires-python = ">=3.13"
+license = { text = "MIT" }
+dependencies = [
+    "geocoder>=1.38.1",
+    "ollama>=0.6.1",
+    "requests>=2.32.3",
+]
--- a/questions.md
+++ b/questions.md
@@ -0,0 +1,20 @@
+# Questions
+
+Answer each of the following questions.
+
+## Memory and models
+
+1. How much memory is available on your system?
+
+2. List two models from Hugging Face or Ollama's model library that could run on your system. For each one, explain
+   what it is good at.
+
+3. Choose an interesting-looking model that *cannot* run on your system. What is this model
+   good at doing? Imagine an AI-powered app you could create with this model and describe it.
+
+## Local vs. remote models
+
+4. Ollama can easily be configured to use a remotely-hosted model; you just provide the URL
+   where the model is hosted. List some of the advantages of locally-hosted models, and some
+   of the advantages of remotely-hosted models. What kinds of apps would be most suitable for
+   locally-hosted models? What kinds of apps would be most suitable for remotely-hosted models?
--- a/tools.py
+++ b/tools.py
@@ -0,0 +1,93 @@
+from datetime import datetime
+import geocoder
+import os
+import requests
+import subprocess
+
+
+def day_of_week() -> str:
+    """Returns the current day of the week.
+
+    Returns:
+        The name of the current day, such as "Monday" or "Friday".
+    """
+    return datetime.now().strftime("%A")
+
+
+def local_weather() -> str:
+    """Returns a brief description of today's weather at the user's location.
+
+    Uses the device's IP address to estimate location, then fetches the
+    National Weather Service forecast for that location.
+
+    Returns:
+        A short text description of the current weather conditions,
+        or an error message if the weather cannot be fetched.
+    """
+    location = geocoder.ip("me")
+    if not location or not location.latlng:
+        return "Unable to determine location for weather."
+    lat, lng = location.latlng
+    points_url = f"https://api.weather.gov/points/{lat},{lng}"
+    points = requests.get(points_url)
+    if not points.ok:
+        return "Unable to fetch weather data."
+    props = points.json()["properties"]
+    office = props["gridId"]
+    x = props["gridX"]
+    y = props["gridY"]
+    forecast_url = f"https://api.weather.gov/gridpoints/{office}/{x},{y}/forecast"
+    forecast = requests.get(forecast_url)
+    if not forecast.ok:
+        return "No weather forecast available."
+    periods = forecast.json()["properties"]["periods"]
+    today = periods[0]
+    return (
+        f"{today['name']}: {today['shortForecast']}, "
+        f"{today['temperature']}°{today['temperatureUnit']}, "
+        f"wind {today['windSpeed']} {today['windDirection']}"
+    )
+
+
+def read_file(path: str) -> tuple[bool, str]:
+    """Reads a file and returns its contents as plain text.
+
+    Supports many file formats including PDF, Word documents, HTML, and Markdown,
+    using pdftotext (for PDFs) and pandoc (for everything else). If the required
+    program is not installed or conversion fails, returns a description of the error.
+
+    Args:
+        path: The path to the file to read.
+
+    Returns:
+        A tuple of (success, text). When successful, success is True and text
+        contains the plain-text contents of the file. When unsuccessful,
+        success is False and text explains what went wrong.
+    """
+    if not os.path.exists(path):
+        return (False, f"File not found: {path}")
+
+    _, ext = os.path.splitext(path.lower())
+
+    if ext == ".pdf":
+        try:
+            result = subprocess.run(
+                ["pdftotext", path, "-"],
+                capture_output=True, text=True, check=True,
+            )
+            return (True, result.stdout)
+        except FileNotFoundError:
+            return (False, "pdftotext is not installed. Install poppler-utils to read PDF files.")
+        except subprocess.CalledProcessError as e:
+            return (False, f"pdftotext failed: {e.stderr.strip()}")
+
+    try:
+        result = subprocess.run(
+            ["pandoc", path, "--to", "plain"],
+            capture_output=True, text=True, check=True,
+        )
+        return (True, result.stdout)
+    except FileNotFoundError:
+        return (False, "pandoc is not installed. Install pandoc to read this file format.")
+    except subprocess.CalledProcessError as e:
+        return (False, f"pandoc failed: {e.stderr.strip()}")
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