add simple api example

This commit is contained in:
Concedo 2025-06-19 23:05:28 +08:00
parent 771261f5be
commit b925bbfc6d
2 changed files with 40 additions and 1 deletions

30
examples/api_example.py Normal file
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@ -0,0 +1,30 @@
import requests
ENDPOINT = "http://localhost:5001/api" # Please visit this link and read OpenAI documentation. It has a LOT more than what is shown here.
# This is a very basic example of how to use the KoboldCpp API in python.
# For full documentation, you can launch KoboldCpp and read it at http://localhost:5001/api or view the web docs at https://lite.koboldai.net/koboldcpp_api
# Note: KoboldCpp also provides a fully compatible /v1/completions and /v1/chat/completions API. You can use it as a direct replacement for any OpenAI API usecases.
# Refer to https://platform.openai.com/docs/api-reference/completions and https://platform.openai.com/docs/api-reference/chat
payload = {
"prompt": "Niko the kobold stalked carefully down the alley, his small scaly figure obscured by a dusky cloak that fluttered lightly in the cold winter breeze.",
"max_context_length": 4096, # The maximum number of tokens in history that the AI can see. Increase for longer inputs.
"max_length": 128, # How many token to be generated at maximum. It might stop before this if EOS is allowed.
"rep_pen": 1.1, # Makes outputs less repetitive by penalizing repetition
"rep_pen_range": 512, # The range to which to apply repetition penalty
"rep_pen_slope": 0.7, # This number determains the strength of the repetition penalty over time
"temperature": 0.8, # How random should the AI outputs be? Lower values make output more predictable.
"top_k": 100, # Keep the X most probable tokens
"top_p": 0.9, # Top P sampling / Nucleus Sampling, https://arxiv.org/pdf/1904.09751.pdf
#"sampler_seed": 1337, # Use specific seed for text generation? This helps with consistency across tests.
}
try:
response = requests.post(f"{ENDPOINT}/v1/generate", json=payload) # Send prompt to API
if response.status_code == 200:
results = response.json()['results'] # Set results as JSON response
text = results[0]['text'] # inside results, look in first group for section labeled 'text'
print(text)
except Exception as e:
print(f"An error occurred: {e}")

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@ -2872,7 +2872,11 @@ bool clip_image_load_from_file(const char * fname, clip_image_u8 * img) {
//note that the memory here must be subsequently freed! //note that the memory here must be subsequently freed!
uint8_t* make_new_letterbox_img(uint8_t* input_image, int nx, int ny, int nc, int target_width, int target_height) { uint8_t* make_new_letterbox_img(uint8_t* input_image, int nx, int ny, int nc, int target_width, int target_height) {
int new_image_size = target_width * target_height * nc; int new_image_size = (target_width * target_height * nc) + 512; //add some padding
if (target_width < nx || target_height < ny) {
printf("\nERROR: Target size smaller than input image\n");
return nullptr;
}
uint8_t* letterboxed_image = (uint8_t*)malloc(new_image_size); uint8_t* letterboxed_image = (uint8_t*)malloc(new_image_size);
if(letterboxed_image==nullptr) if(letterboxed_image==nullptr)
{ {
@ -2960,6 +2964,11 @@ bool clip_image_load_from_bytes(const unsigned char * bytes, size_t bytes_length
free(letterboxed_image); free(letterboxed_image);
letterboxed_image = nullptr; letterboxed_image = nullptr;
} }
else
{
//letterboxing failed. just use original image
clip_build_img_from_pixels(data, nx, ny, img);
}
} }
else else
{ {