File size: 15,093 Bytes
ed28876 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 |
# Local_Summarization_Lib.py
#########################################
# Local Summarization Library
# This library is used to perform summarization with a 'local' inference engine.
#
####
####################
# Function List
# FIXME - UPDATE Function Arguments
# 1. chat_with_local_llm(text, custom_prompt_arg)
# 2. chat_with_llama(api_url, text, token, custom_prompt)
# 3. chat_with_kobold(api_url, text, kobold_api_token, custom_prompt)
# 4. chat_with_oobabooga(api_url, text, ooba_api_token, custom_prompt)
# 5. chat_with_vllm(vllm_api_url, vllm_api_key_function_arg, llm_model, text, vllm_custom_prompt_function_arg)
# 6. chat_with_tabbyapi(tabby_api_key, tabby_api_IP, text, tabby_model, custom_prompt)
# 7. save_summary_to_file(summary, file_path)
#
#
####################
# Import necessary libraries
import json
# Import Local
from Utils import *
#
#######################################################################################################################
# Function Definitions
#
def chat_with_local_llm(input_data, user_prompt, system_prompt=None):
try:
if system_prompt is None:
system_prompt_arg = "You are a helpful assistant."
headers = {
'Content-Type': 'application/json'
}
logging.debug("Local LLM: Preparing data + prompt for submittal")
local_llm_prompt = f"{user_prompt}\n\n\n\n{input_data} "
data = {
"messages": [
{
"role": "system",
"content": f"{system_prompt}"
},
{
"role": "user",
"content": f"{local_llm_prompt}"
}
],
"max_tokens": 28000, # Adjust tokens as needed
}
logging.debug("Local LLM: System Prompt to be used: %s", system_prompt)
logging.debug("Local LLM: User Prompt to be used: %s", user_prompt)
logging.debug("Local LLM: Posting request")
response = requests.post('http://127.0.0.1:8080/v1/chat/completions', headers=headers, json=data)
if response.status_code == 200:
response_data = response.json()
if 'choices' in response_data and len(response_data['choices']) > 0:
summary = response_data['choices'][0]['message']['content'].strip()
logging.debug("Local LLM: Chat request successful")
print("Local LLM: Chat request successful.")
return summary
else:
logging.warning("Local LLM: Chat response not found in the response data")
return "Local LLM: Chat response not available"
else:
logging.debug("Local LLM: Chat request failed")
print("Local LLM: Failed to process Chat response:", response.text)
return "Local LLM: Failed to process Chat response"
except Exception as e:
logging.debug("Local LLM: Error in processing: %s", str(e))
print("Error occurred while processing Chat request with Local LLM:", str(e))
return "Local LLM: Error occurred while processing Chat response"
def chat_with_llama(input_data, custom_prompt, api_url="http://127.0.0.1:8080/completion", api_key=None, system_prompt=None):
loaded_config_data = load_and_log_configs()
try:
# API key validation
if api_key is None:
logging.info("llama.cpp: API key not provided as parameter")
logging.info("llama.cpp: Attempting to use API key from config file")
api_key = loaded_config_data['api_keys']['llama']
if api_key is None or api_key.strip() == "":
logging.info("llama.cpp: API key not found or is empty")
logging.debug(f"llama.cpp: Using API Key: {api_key[:5]}...{api_key[-5:]}")
headers = {
'accept': 'application/json',
'content-type': 'application/json',
}
if len(api_key) > 5:
headers['Authorization'] = f'Bearer {api_key}'
if system_prompt is None:
system_prompt = "You are a helpful AI assistant that provides accurate and concise information."
logging.debug("Llama.cpp: System prompt being used is: %s", system_prompt)
logging.debug("Llama.cpp: User prompt being used is: %s", custom_prompt)
llama_prompt = f"{custom_prompt} \n\n\n\n{input_data}"
logging.debug(f"llama: Prompt being sent is {llama_prompt}")
data = {
"prompt": f"{llama_prompt}",
"system_prompt": f"{system_prompt}"
}
logging.debug("llama: Submitting request to API endpoint")
print("llama: Submitting request to API endpoint")
response = requests.post(api_url, headers=headers, json=data)
response_data = response.json()
logging.debug("API Response Data: %s", response_data)
if response.status_code == 200:
# if 'X' in response_data:
logging.debug(response_data)
summary = response_data['content'].strip()
logging.debug("llama: Summarization successful")
print("Summarization successful.")
return summary
else:
logging.error(f"Llama: API request failed with status code {response.status_code}: {response.text}")
return f"Llama: API request failed: {response.text}"
except Exception as e:
logging.error("Llama: Error in processing: %s", str(e))
return f"Llama: Error occurred while processing summary with llama: {str(e)}"
# System prompts not supported through API requests.
# https://lite.koboldai.net/koboldcpp_api#/api%2Fv1/post_api_v1_generate
def chat_with_kobold(input_data, api_key, custom_prompt_input, kobold_api_IP="http://127.0.0.1:5001/api/v1/generate"):
loaded_config_data = load_and_log_configs()
try:
# API key validation
if api_key is None:
logging.info("Kobold.cpp: API key not provided as parameter")
logging.info("Kobold.cpp: Attempting to use API key from config file")
api_key = loaded_config_data['api_keys']['kobold']
if api_key is None or api_key.strip() == "":
logging.info("Kobold.cpp: API key not found or is empty")
headers = {
'accept': 'application/json',
'content-type': 'application/json',
}
kobold_prompt = f"{custom_prompt_input} \n\n\n\n{input_data}"
logging.debug("kobold: Prompt being sent is {kobold_prompt}")
# FIXME
# Values literally c/p from the api docs....
data = {
"max_context_length": 8096,
"max_length": 4096,
"prompt": f"{custom_prompt_input}\n\n\n\n{input_data}"
}
logging.debug("kobold: Submitting request to API endpoint")
print("kobold: Submitting request to API endpoint")
response = requests.post(kobold_api_IP, headers=headers, json=data)
response_data = response.json()
logging.debug("kobold: API Response Data: %s", response_data)
if response.status_code == 200:
if 'results' in response_data and len(response_data['results']) > 0:
summary = response_data['results'][0]['text'].strip()
logging.debug("kobold: Chat request successful!")
print("Chat request successful!")
return summary
else:
logging.error("Expected data not found in API response.")
return "Expected data not found in API response."
else:
logging.error(f"kobold: API request failed with status code {response.status_code}: {response.text}")
return f"kobold: API request failed: {response.text}"
except Exception as e:
logging.error("kobold: Error in processing: %s", str(e))
return f"kobold: Error occurred while processing chat response with kobold: {str(e)}"
# System prompt doesn't work. FIXME
# https://github.com/oobabooga/text-generation-webui/wiki/12-%E2%80%90-OpenAI-API
def chat_with_oobabooga(input_data, api_key, custom_prompt, api_url="http://127.0.0.1:5000/v1/chat/completions", system_prompt=None):
loaded_config_data = load_and_log_configs()
try:
# API key validation
if api_key is None:
logging.info("ooba: API key not provided as parameter")
logging.info("ooba: Attempting to use API key from config file")
api_key = loaded_config_data['api_keys']['ooba']
if api_key is None or api_key.strip() == "":
logging.info("ooba: API key not found or is empty")
if system_prompt is None:
system_prompt = "You are a helpful AI assistant that provides accurate and concise information."
headers = {
'accept': 'application/json',
'content-type': 'application/json',
}
# prompt_text = "I like to eat cake and bake cakes. I am a baker. I work in a French bakery baking cakes. It
# is a fun job. I have been baking cakes for ten years. I also bake lots of other baked goods, but cakes are
# my favorite." prompt_text += f"\n\n{text}" # Uncomment this line if you want to include the text variable
ooba_prompt = f"{input_data}" + f"\n\n\n\n{custom_prompt}"
logging.debug("ooba: Prompt being sent is {ooba_prompt}")
data = {
"mode": "chat",
"character": "Example",
"messages": [{"role": "user", "content": ooba_prompt}]
}
logging.debug("ooba: Submitting request to API endpoint")
print("ooba: Submitting request to API endpoint")
response = requests.post(api_url, headers=headers, json=data, verify=False)
logging.debug("ooba: API Response Data: %s", response)
if response.status_code == 200:
response_data = response.json()
summary = response.json()['choices'][0]['message']['content']
logging.debug("ooba: Summarization successful")
print("Summarization successful.")
return summary
else:
logging.error(f"oobabooga: API request failed with status code {response.status_code}: {response.text}")
return f"ooba: API request failed with status code {response.status_code}: {response.text}"
except Exception as e:
logging.error("ooba: Error in processing: %s", str(e))
return f"ooba: Error occurred while processing summary with oobabooga: {str(e)}"
# FIXME - Install is more trouble than care to deal with right now.
def chat_with_tabbyapi(input_data, custom_prompt_input, api_key=None, api_IP="http://127.0.0.1:5000/v1/chat/completions"):
loaded_config_data = load_and_log_configs()
model = loaded_config_data['models']['tabby']
# API key validation
if api_key is None:
logging.info("tabby: API key not provided as parameter")
logging.info("tabby: Attempting to use API key from config file")
api_key = loaded_config_data['api_keys']['tabby']
if api_key is None or api_key.strip() == "":
logging.info("tabby: API key not found or is empty")
if isinstance(input_data, str) and os.path.isfile(input_data):
logging.debug("tabby: Loading json data for summarization")
with open(input_data, 'r') as file:
data = json.load(file)
else:
logging.debug("tabby: Using provided string data for summarization")
data = input_data
logging.debug(f"tabby: Loaded data: {data}")
logging.debug(f"tabby: Type of data: {type(data)}")
if isinstance(data, dict) and 'summary' in data:
# If the loaded data is a dictionary and already contains a summary, return it
logging.debug("tabby: Summary already exists in the loaded data")
return data['summary']
# If the loaded data is a list of segment dictionaries or a string, proceed with summarization
if isinstance(data, list):
segments = data
text = extract_text_from_segments(segments)
elif isinstance(data, str):
text = data
else:
raise ValueError("Invalid input data format")
headers = {
'Authorization': f'Bearer {api_key}',
'Content-Type': 'application/json'
}
data2 = {
'text': text,
'model': 'tabby' # Specify the model if needed
}
tabby_api_ip = loaded_config_data['local_apis']['tabby']['ip']
try:
response = requests.post(tabby_api_ip, headers=headers, json=data2)
response.raise_for_status()
summary = response.json().get('summary', '')
return summary
except requests.exceptions.RequestException as e:
logging.error(f"Error summarizing with TabbyAPI: {e}")
return "Error summarizing with TabbyAPI."
# FIXME aphrodite engine - code was literally tab complete in one go from copilot... :/
def chat_with_aphrodite(input_data, custom_prompt_input, api_key=None, api_IP="http://" + load_and_log_configs()['local_apis']['aphrodite']['ip']):
loaded_config_data = load_and_log_configs()
model = loaded_config_data['models']['aphrodite']
# API key validation
if api_key is None:
logging.info("aphrodite: API key not provided as parameter")
logging.info("aphrodite: Attempting to use API key from config file")
api_key = loaded_config_data['api_keys']['aphrodite']
if api_key is None or api_key.strip() == "":
logging.info("aphrodite: API key not found or is empty")
headers = {
'Authorization': f'Bearer {api_key}',
'Content-Type': 'application/json'
}
data2 = {
'text': input_data,
}
try:
response = requests.post(api_IP, headers=headers, json=data2)
response.raise_for_status()
summary = response.json().get('summary', '')
return summary
except requests.exceptions.RequestException as e:
logging.error(f"Error summarizing with Aphrodite: {e}")
return "Error summarizing with Aphrodite."
def save_summary_to_file(summary, file_path):
logging.debug("Now saving summary to file...")
base_name = os.path.splitext(os.path.basename(file_path))[0]
summary_file_path = os.path.join(os.path.dirname(file_path), base_name + '_summary.txt')
os.makedirs(os.path.dirname(summary_file_path), exist_ok=True)
logging.debug("Opening summary file for writing, *segments.json with *_summary.txt")
with open(summary_file_path, 'w') as file:
file.write(summary)
logging.info(f"Summary saved to file: {summary_file_path}")
#
#
#######################################################################################################################
|