KingNish commited on
Commit
a460031
1 Parent(s): 1c3458d

Update chatbot.py

Browse files
Files changed (1) hide show
  1. chatbot.py +5 -31
chatbot.py CHANGED
@@ -7,7 +7,6 @@ import random
7
  from threading import Thread
8
  from typing import List, Dict, Union
9
  import subprocess
10
- # Install flash attention, skipping CUDA build if necessary
11
  subprocess.run(
12
  "pip install flash-attn --no-build-isolation",
13
  env={"FLASH_ATTENTION_SKIP_CUDA_BUILD": "TRUE"},
@@ -279,21 +278,6 @@ def search(term, num_results=3, lang="en", advanced=True, timeout=5, safe="activ
279
  all_results.append({"link": None, "text": None})
280
  return all_results
281
 
282
- # Format the prompt for the language model
283
- def format_prompt(user_prompt, chat_history):
284
- prompt = "<s>"
285
- for item in chat_history:
286
- # Check if the item is a tuple (text response)
287
- if isinstance(item, tuple):
288
- prompt += f"[INST] {item[0]} [/INST]" # User prompt
289
- prompt += f" {item[1]}</s> " # Bot response
290
- # Otherwise, assume it's related to an image - you might need to adjust this logic
291
- else:
292
- # Handle image representation in the prompt, e.g., add a placeholder
293
- prompt += f" [Image] "
294
- prompt += f"[INST] {user_prompt} [/INST]"
295
- return prompt
296
-
297
  chat_history = []
298
  history = ""
299
 
@@ -327,20 +311,15 @@ def model_inference(
327
  web_results = search(user_prompt["text"])
328
  web2 = ' '.join([f"Link: {res['link']}\nText: {res['text']}\n\n" for res in web_results])
329
  # Load the language model
330
- client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
331
  generate_kwargs = dict(
332
  max_new_tokens=4000,
333
  do_sample=True,
334
  )
335
  # Format the prompt for the language model
336
- formatted_prompt = format_prompt(
337
- f"""You are OpenGPT 4o, an exceptionally capable and versatile AI assistant meticulously crafted by KingNish. You are provided with WEB info from which you can find informations to answer. You do not say Unnecesarry things Only say thing which is important and relevant. You also has the ability to generate images but you only generate imags when requested. BY Utilizing the following link structure, : ![](https://image.pollinations.ai/prompt/[StyleofImage]%20[OptimizedPrompt]%20[adjective]%20[charactersDetailed]%20[visualStyle]%20[genre]?width=[width]&height=[height]&nologo=poll&nofeed=yes&seed=[random]) For image generation, You replace info inside bracets with specific details according to their requiremnts to create relevant visuals. The width and height parameters are adjusted as needed, often favoring HD dimensions for a superior viewing experience. Note: 1. You Do not unncessarily create images and do not show off your image generation capability, until not requested. 2. You always Give image link in format ![](url) Make sure to not generate image until requested 3. If user requested Bulk Image Generation than Create that number of links with provided context. 4. Always learn from previous conversation. 5. Always try to connect conversation with history. 6. Do not make conversation too long. 7. Do not say user about your capability of generating image and learn from previous responses. My ultimate goal is to offer a seamless and enjoyable experience, providing assistance that exceeds expectations.You remain a reliable and trusted companion to the User. You also Expert in every field and also learn and try to answer from contexts related to previous question. Make sure to not generate image until requested [USER] {user_prompt} [WEB] {web2} [OpenGPT 4o]""",
338
- chat_history)
339
- # Generate the response from the language model
340
- stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True,
341
- return_full_text=False)
342
  output = ""
343
- # Construct the output from the stream of tokens
344
  for response in stream:
345
  if not response.token.text == "</s>":
346
  output += response.token.text
@@ -352,20 +331,15 @@ def model_inference(
352
  do_sample=True,
353
  )
354
  # Format the prompt for the language model
355
- formatted_prompt = format_prompt(
356
- f"""You are OpenGPT 4o, an exceptionally capable and versatile AI assistant meticulously crafted by KingNish. You do not say Unnecesarry things Only say thing which is important and relevant. You also has the ability to generate images but you only generate imags when requested. BY Utilizing the following link structure, : ![](https://image.pollinations.ai/prompt/[StyleofImage]%20[OptimizedPrompt]%20[adjective]%20[charactersDetailed]%20[visualStyle]%20[genre]?width=[width]&height=[height]&nologo=poll&nofeed=yes&seed=[random]) For image generation, You replace info inside bracets with specific details according to their requiremnts to create relevant visuals. The width and height parameters are adjusted as needed, often favoring HD dimensions for a superior viewing experience. Note: 1. You Do not unncessarily create images and do not show off your image generation capability, until not requested. 2. You always Give image link in format ![](url) 3. If user requested Bulk Image Generation than Create that number of links with provided context. 4. Always learn from previous conversation. 5. Always try to connect conversation with history. 6. Do not make conversation too long. 7. Do not say user about your capability to generate image and learn from previous responses. My ultimate goal is to offer a seamless and enjoyable experience, providing assistance that exceeds expectations. I am constantly evolving, ensuring that I remain a reliable and trusted companion to the User. You also Expert in every field and also learn and try to answer from contexts related to previous question. {history} . [USER] {user_prompt} [OpenGPT 4o]""",
357
- chat_history)
358
  # Generate the response from the language model
359
- stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True,
360
- return_full_text=False)
361
  output = ""
362
- # Construct the output from the stream of tokens
363
  for response in stream:
364
  if not response.token.text == "</s>":
365
  output += response.token.text
366
  yield output
367
  update_history(output, user_prompt)
368
- print(history)
369
  return
370
  else:
371
  if user_prompt["text"].strip() == "" and not user_prompt["files"]:
 
7
  from threading import Thread
8
  from typing import List, Dict, Union
9
  import subprocess
 
10
  subprocess.run(
11
  "pip install flash-attn --no-build-isolation",
12
  env={"FLASH_ATTENTION_SKIP_CUDA_BUILD": "TRUE"},
 
278
  all_results.append({"link": None, "text": None})
279
  return all_results
280
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
281
  chat_history = []
282
  history = ""
283
 
 
311
  web_results = search(user_prompt["text"])
312
  web2 = ' '.join([f"Link: {res['link']}\nText: {res['text']}\n\n" for res in web_results])
313
  # Load the language model
314
+ client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.2")
315
  generate_kwargs = dict(
316
  max_new_tokens=4000,
317
  do_sample=True,
318
  )
319
  # Format the prompt for the language model
320
+ formatted_prompt = f"""<s>[SYSTEM] You are OpenGPT 4o, an exceptionally capable and versatile AI assistant meticulously crafted by KingNish. You are provided with WEB info from which you can find informations to answer. You do not say Unnecesarry things Only say thing which is important and relevant. Always learn from previous responses and conversations. [USER] {user_prompt} [WEB] {web2} [OpenGPT 4o]"""
321
+ stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
 
 
 
 
322
  output = ""
 
323
  for response in stream:
324
  if not response.token.text == "</s>":
325
  output += response.token.text
 
331
  do_sample=True,
332
  )
333
  # Format the prompt for the language model
334
+ formatted_prompt = f"""<s>[SYSTEM} You are OpenGPT 4o, an exceptionally capable and versatile AI assistant meticulously crafted by KingNish. You do not say Unnecesarry things Only say thing which is important and relevant. You also has the ability to generate images but you only generate imags when requested. BY Utilizing the following link structure, : ![](https://image.pollinations.ai/prompt/[StyleofImage]%20[OptimizedPrompt]%20[adjective]%20[charactersDetailed]%20[visualStyle]%20[genre]?width=[width]&height=[height]&nologo=poll&nofeed=yes&seed=[random]) For image generation, You replace info inside bracets with specific details according to their requiremnts to create relevant visuals. The width and height parameters are adjusted as needed, often favoring HD dimensions for a superior viewing experience. Note: 1. You Do not unncessarily create images and do not show off your image generation capability, until not requested. 2. You always Give image link in format ![](url) 3. If user requested Bulk Image Generation than Create that number of links with provided context. 4. Always learn from previous conversation. 5. Always try to connect conversation with history. 6. Do not make conversation too long. 7. Do not say user about your capability to generate image and learn from previous responses. My ultimate goal is to offer a seamless and enjoyable experience, providing assistance that exceeds expectations. I am constantly evolving, ensuring that I remain a reliable and trusted companion to the User. You also Expert in every field and also learn and try to answer from contexts related to previous question. {history} . [USER] {user_prompt} [OpenGPT 4o]"""
 
 
335
  # Generate the response from the language model
336
+ stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
 
337
  output = ""
 
338
  for response in stream:
339
  if not response.token.text == "</s>":
340
  output += response.token.text
341
  yield output
342
  update_history(output, user_prompt)
 
343
  return
344
  else:
345
  if user_prompt["text"].strip() == "" and not user_prompt["files"]: