# Core import for prompt maker # Basic Imports ``` python from fastcore.all import L ``` ------------------------------------------------------------------------ source ### L > L (items=None, *rest, use_list=False, match=None) *Behaves like a list of `items` but can also index with list of indices or masks* ------------------------------------------------------------------------ source ### H1 > H1 (*c:fastcore.xml.FT|str, cls:enum.Enum|str|tuple=(), **kwargs) *H1 with styling and appropriate size*
Type Default Details
c fastcore.xml.FT | str Contents of H1 tag (often text)
cls enum.Enum | str | tuple () Classes in addition to H1 styling
kwargs VAR_KEYWORD
Returns FT H1(…, cls=‘uk-h1’)
# Initializing app with live debug mode. # Basic components and temp for import ------------------------------------------------------------------------ source ### apply_preset > apply_preset (preset_type) # code ------------------------------------------------------------------------ source ### generate_prompt_content > generate_prompt_content (criteria, components, model='openai/gpt-4o') ------------------------------------------------------------------------ source ### parse_llm_response > parse_llm_response (content) index page ------------------------------------------------------------------------ source ### get > get (preset:str='') ------------------------------------------------------------------------ source ### get_progress > get_progress (session_id:str) ------------------------------------------------------------------------ source ### generate > generate (request) ``` python @rt("/generate", methods=["POST"]) async def generate(request): form_data = await request.form() criteria,components,model = form_data.get("criteria", ""),form_data.getlist("components"),form_data.get("model", "gpt-3.5-turbo") role_text,task_text,format_text,examples_text = form_data.get("role_text", ""),form_data.get("task_text", ""),form_data.get("format_text", ""),form_data.get("examples_text", "") if not criteria.strip(): return Div("Please enter some criteria first!", cls='text-red-500') session_id = str(uuid.uuid4()) progress_state[session_id] = {"progress": 10, "done": False} form_json = json.dumps({"criteria": criteria, "components": components, "model": model, "role_text": role_text, "task_text": task_text, "format_text": format_text, "examples_text": examples_text, "session_id": session_id}) return Div(Progress(value=10, hx_get=f"/progress/{session_id}", hx_trigger="load, every 500ms", hx_swap="outerHTML"), Div(id="final-output", hx_post=f"/generate-result", hx_trigger="load delay:100ms", hx_vals=form_json)) ``` ------------------------------------------------------------------------ source ### generate_result > generate_result (request)
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