To apply a ternary operator on a dynamic request value while storing data in the view function, you can use the conditional expression syntax. Here's an example of how you can do it:
views.py
from django.shortcuts import render
def my_view(request):
# Get the dynamic request value
dynamic_value = request.POST.get('dynamic_value')
# Apply the ternary operator to set the stored value
stored_value = dynamic_value if dynamic_value is not None else 'default'
# Store the data or perform any other operations
# ...
return render(request, 'my_template.html', {'stored_value': stored_value})
In this example, the dynamic_value is obtained from the request object using request.POST.get('dynamic_value'). Then, the ternary operator is applied to set the stored_value. If the dynamic_value is not None, it is assigned to stored_value, otherwise, the default value 'default' is used.
Another Real Example
openai.api_key = settings.OPENAI_API_KEY # Replace with your OpenAI API key
@csrf_exempt
def chat_with_gpt(request):
if request.method == 'POST':
form = ChatForm(request.POST)
if form.is_valid():
user_input = form.cleaned_data['message']
dynamic_max_tokens = request.POST.get('max_tokens')
dynamic_top_p = request.POST.get('top_p')
dynamic_temperature = request.POST.get('temperature')
dynamic_modal = request.POST.get('modal')
dynamic_frequency_penalty = request.POST.get('frequency_penalty')
dynamic_presence_penalty = request.POST.get('presence_penalty')
max_tokens = int(dynamic_max_tokens) if dynamic_max_tokens and dynamic_max_tokens != '0' else 100
modal = dynamic_modal if dynamic_modal and dynamic_modal != '0' else "text-davinci-003"
temperature = float(dynamic_temperature) if dynamic_temperature and dynamic_temperature != '0' else 0.5
top_p = float(dynamic_top_p) if dynamic_top_p and dynamic_top_p != '0' else 0.5
frequency_penalty = float(dynamic_frequency_penalty) if dynamic_frequency_penalty and dynamic_frequency_penalty != '0' else 0.5
presence_penalty = float(dynamic_presence_penalty) if dynamic_presence_penalty and dynamic_presence_penalty != '0' else 0
data = {
'user_input':form.cleaned_data['message'],
'temperature':temperature,
'max_tokens':request.POST.get('max_tokens'),
'top_p':top_p,
}
# Print all the request data
print('Request Data:', data)
# Make a request to ChatGPT using the OpenAI library
openai.api_key = settings.OPENAI_API_KEY
response = openai.Completion.create(
model=modal,
prompt=user_input,
temperature=temperature,
max_tokens=max_tokens,
top_p=top_p,
frequency_penalty=frequency_penalty,
presence_penalty=presence_penalty,
logprobs=0,
echo=True
)
if response.choices:
print('data 200 choices')
generated_message = response.choices[0].text.strip()
print(generated_message)
else:
print('data else choices')
generated_message = 'Failed to generate response'
# Save the user input and generated response to the database
chat_message = ChatMessage(message=user_input, generated_message=generated_message)
chat_message.save()
return render(request, 'chatgpt.html', {'form': form, 'generated_message': generated_message})
else:
form = ChatForm()
return render(request, 'chatgpt.html', {'form': form})
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