URLs site with status filter, refactoring, django-tasks-scheduler low high priority queues
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@@ -94,9 +94,9 @@ def urls(request):
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# If request is AJAX, return JSON response
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if request.headers.get("X-Requested-With") == "XMLHttpRequest":
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return JsonResponse({'items_html': render(request, 'item_list_partial.html', context).content.decode('utf-8')})
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return JsonResponse({'urls': render(request, 'urls_partial.html', context).content.decode('utf-8')})
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return render(request, "item_list.html", context)
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return render(request, "urls.html", context)
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class OllamaClient():
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@@ -114,7 +114,8 @@ class OllamaClient():
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return models
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def get_prompt(self):
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return "Provide a summary of the content below, avoid mentioning the source of information, and only answer with the summary. The summary needs to be brief and compact, consisting of one paragraph."
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return "Rewrite the text below into a clear and concise summary, presenting the key points as if they are newly written insights. Do not mention or reference the original text, its source, or any phrases like 'According to' or 'The text states'. Instead, write in a natural, standalone format that feels like an original explanation. Keep it brief, engaging, informative, in the style of a news article, and no longer than a paragraph:"
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#return "Provide a summary of the content below, avoid mentioning the source of information, and only answer with the summary. The summary needs to be brief and compact, consisting of one paragraph."
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#return "Explain in a single and compact paragraph the what, why, when, where, who, and how of the content below. Also provide a single paragraph summary of the content:"
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#return "Provide in one paragraph the what, why, when, where, who, and how of the content below. Also provide a one paragraph summary of the content:"
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#return "Provide two summaries of the content below, and avoid mentioning the source of information. First, provide a very brief and compact paragraph summary. Second, provide a larger and more detailed summary, which describe the what, why, when, where, who, and how of the content:"
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@@ -153,6 +154,9 @@ def fetch_details(request, id):
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model = request.GET.get("model", "") # Get LLM model
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text = request.GET.get("text", "") # Get LLM prompt
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# print(request)
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# print(text)
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# LLM
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ollama = OllamaClient()
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