5a85070c22
Most of the examples needed updates of Readmes to show how to run them. Some of the requirements.txt files had extra content that wasn't needed, or missing altogether. Apparently some folks like to run npm start to run typescript, so a script was added to all typescript examples which hadn't been done before. Basically just a lot of cleanup. Signed-off-by: Matt Williams <m@technovangelist.com>
35 lines
1.2 KiB
Markdown
35 lines
1.2 KiB
Markdown
# News Summarizer
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This example goes through a series of steps:
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1. You choose a topic area (e.g., "news", "NVidia", "music", etc.).
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2. Gets the most recent articles on that topic from various sources.
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3. Uses Ollama to summarize each article.
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4. Creates chunks of sentences from each article.
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5. Uses Sentence Transformers to generate embeddings for each of those chunks.
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6. You enter a question regarding the summaries shown.
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7. Uses Sentence Transformers to generate an embedding for that question.
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8. Uses the embedded question to find the most similar chunks.
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9. Feeds all that to Ollama to generate a good answer to your question based on these news articles.
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This example lets you pick from a few different topic areas, then summarize the most recent x articles for that topic. It then creates chunks of sentences from each article and then generates embeddings for each of those chunks.
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## Running the Example
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1. Ensure you have the `mistral-openorca` model installed:
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```bash
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ollama pull mistral-openorca
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```
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2. Install the Python Requirements.
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```bash
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pip install -r requirements.txt
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```
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3. Run the example:
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```bash
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python summ.py
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```
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