[Insert the most recent Uk political news headlines here]

Not to speak for the maintainers, but this is likely far out of scope for this project.*

LLMs do not, by themselves, access the web as ChatGPT etc. do -- that is a totally separate feature from the model itself, which only "knows" information it was trained on (not at all current information, generally). In generally, you'll be best off only asking your local ollama models factual questions whose answers are persistent over time, e.g. "what was [historical event]?", "who was [historical figure]?", "what is the weather typically like in the UK?"

That said, if you would like your ollama models to have access to news, specifically, you could feed that information to the model context (as a prompt) yourself. I'd suggest you start by creating an account at one of the many news API providers (e.g. Bing News Search API via Azure, NewsAPI, NYT API) and incorporate the response into your queries (note that this will significantly slow down all of your queries if you are not particular about when it is given as context). You could later incorporate that into your local clone of the ollama-telegram repo.

Here's an example of using one of the news APIs (you can create a few Azure account to get an API key): https://github.com/microsoft/bing-search-sdk-for-python/blob/main/samples/rest/BingWebSearchV7.py

you could incorporate your response in python like so:

import ollama
# ...

user_query = {
    'role': 'user',
    'content': "Tell me about the latest uk political news"
}

messages = [
    {
        'role': 'system',
        'content': news_response
    },
    user_query
]

ollama_response = ollama.chat(
    model='llama3',
    messages=messages
)

print(response['message']['content'])

Good luck!

I believe system prompt settings are on the roadmap, which you could use to tell the model where you live, but it still won't be able to access real time information

ruecat / ollama-telegram

[Insert the most recent Uk political news headlines here] #42