AI/text-generation-webui
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Merge remote-tracking branch 'refs/remotes/origin/dev' into dev

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oobabooga 2024-01-22 03:15:29 -08:00
commit 8b5495ebf8
2 changed files with 26 additions and 5 deletions
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27
extensions/openai/completions.py
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@ -22,7 +22,7 @@ from modules.chat import (
load_instruction_template_memoized
)
from modules.presets import load_preset_memoized
from modules.text_generation import decode, encode, generate_reply
from modules.text_generation import decode, encode, generate_reply, get_reply_from_output_ids
class LogitsBiasProcessor(LogitsProcessor):
@ -56,7 +56,7 @@ class LogprobProcessor(LogitsProcessor):
if self.logprobs is not None: # 0-5
log_e_probabilities = F.log_softmax(logits, dim=1)
top_values, top_indices = torch.topk(log_e_probabilities, k=self.logprobs + 1)
top_tokens = [decode(tok) for tok in top_indices[0]]
top_tokens = [get_reply_from_output_ids([tok]) for tok in top_indices[0]]
top_probs = [float(x) for x in top_values[0]]
self.token_alternatives = dict(zip(top_tokens, top_probs))
debug_msg(repr(self))
@ -144,6 +144,26 @@ def convert_history(history):
user_input = ""
system_message = ""
if any(isinstance(entry['content'], list) for entry in history):
new_history = []
for entry in history:
if isinstance(entry['content'], list):
image_url = None
content = None
for item in entry['content']:
if not isinstance(item, dict):
continue
if item['type'] == 'image_url' and isinstance(item['image_url'], dict):
image_url = item['image_url']['url']
elif item['type'] == 'text' and isinstance(item['text'], str):
content = item['text']
if image_url and content:
new_history.append({"image_url": image_url, "role": "user"})
new_history.append({"content": content, "role": "user"})
else:
new_history.append(entry)
history = new_history
for entry in history:
if "image_url" in entry:
image_url = entry['image_url']
@ -156,8 +176,9 @@ def convert_history(history):
img = Image.open(BytesIO(my_res.content))
except Exception:
raise 'Image cannot be loaded from the URL!'
buffered = BytesIO()
if img.mode in ("RGBA", "P"):
img = img.convert("RGB")
img.save(buffered, format="JPEG")
img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')
content = f'<img src="data:image/jpeg;base64,{img_str}">'

4
modules/text_generation.py
View File

@ -268,8 +268,8 @@ def apply_stopping_strings(reply, all_stop_strings):
return reply, stop_found
def get_reply_from_output_ids(output_ids, state, starting_from=0):
reply = decode(output_ids[starting_from:], state['skip_special_tokens'])
def get_reply_from_output_ids(output_ids, state=None, starting_from=0):
reply = decode(output_ids[starting_from:], state['skip_special_tokens'] if state else True)
# Handle tokenizers that do not add the leading space for the first token
if (hasattr(shared.tokenizer, 'convert_ids_to_tokens') and len(output_ids) > starting_from) and not reply.startswith(' '):