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https://github.com/oobabooga/text-generation-webui.git
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Merge branch 'oobabooga:main' into feature/gpt-j-4bit-v2
This commit is contained in:
commit
1ac003d41c
@ -100,6 +100,7 @@ def get_download_links_from_huggingface(model, branch):
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links = []
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links = []
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classifications = []
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classifications = []
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has_pytorch = False
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has_pytorch = False
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has_pt = False
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has_safetensors = False
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has_safetensors = False
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is_lora = False
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is_lora = False
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while True:
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while True:
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@ -115,7 +116,7 @@ def get_download_links_from_huggingface(model, branch):
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is_lora = True
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is_lora = True
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is_pytorch = re.match("(pytorch|adapter)_model.*\.bin", fname)
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is_pytorch = re.match("(pytorch|adapter)_model.*\.bin", fname)
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is_safetensors = re.match("model.*\.safetensors", fname)
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is_safetensors = re.match(".*\.safetensors", fname)
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is_pt = re.match(".*\.pt", fname)
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is_pt = re.match(".*\.pt", fname)
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is_tokenizer = re.match("tokenizer.*\.model", fname)
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is_tokenizer = re.match("tokenizer.*\.model", fname)
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is_text = re.match(".*\.(txt|json|py|md)", fname) or is_tokenizer
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is_text = re.match(".*\.(txt|json|py|md)", fname) or is_tokenizer
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@ -134,6 +135,7 @@ def get_download_links_from_huggingface(model, branch):
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has_pytorch = True
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has_pytorch = True
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classifications.append('pytorch')
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classifications.append('pytorch')
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elif is_pt:
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elif is_pt:
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has_pt = True
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classifications.append('pt')
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classifications.append('pt')
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cursor = base64.b64encode(f'{{"file_name":"{dict[-1]["path"]}"}}'.encode()) + b':50'
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cursor = base64.b64encode(f'{{"file_name":"{dict[-1]["path"]}"}}'.encode()) + b':50'
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@ -141,9 +143,9 @@ def get_download_links_from_huggingface(model, branch):
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cursor = cursor.replace(b'=', b'%3D')
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cursor = cursor.replace(b'=', b'%3D')
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# If both pytorch and safetensors are available, download safetensors only
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# If both pytorch and safetensors are available, download safetensors only
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if has_pytorch and has_safetensors:
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if (has_pytorch or has_pt) and has_safetensors:
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for i in range(len(classifications)-1, -1, -1):
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for i in range(len(classifications)-1, -1, -1):
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if classifications[i] == 'pytorch':
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if classifications[i] in ['pytorch', 'pt']:
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links.pop(i)
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links.pop(i)
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return links, is_lora
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return links, is_lora
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@ -43,14 +43,14 @@ class Handler(BaseHTTPRequestHandler):
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generator = generate_reply(
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generator = generate_reply(
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question = prompt,
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question = prompt,
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max_new_tokens = body.get('max_length', 200),
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max_new_tokens = int(body.get('max_length', 200)),
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do_sample=True,
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do_sample=True,
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temperature=body.get('temperature', 0.5),
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temperature=float(body.get('temperature', 0.5)),
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top_p=body.get('top_p', 1),
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top_p=float(body.get('top_p', 1)),
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typical_p=body.get('typical', 1),
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typical_p=float(body.get('typical', 1)),
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repetition_penalty=body.get('rep_pen', 1.1),
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repetition_penalty=float(body.get('rep_pen', 1.1)),
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encoder_repetition_penalty=1,
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encoder_repetition_penalty=1,
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top_k=body.get('top_k', 0),
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top_k=int(body.get('top_k', 0)),
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min_length=0,
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min_length=0,
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no_repeat_ngram_size=0,
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no_repeat_ngram_size=0,
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num_beams=1,
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num_beams=1,
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@ -62,7 +62,10 @@ class Handler(BaseHTTPRequestHandler):
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answer = ''
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answer = ''
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for a in generator:
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for a in generator:
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answer = a[0]
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if isinstance(a, str):
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answer = a
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else:
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answer = a[0]
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response = json.dumps({
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response = json.dumps({
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'results': [{
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'results': [{
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@ -34,7 +34,7 @@ def convert_to_markdown(string):
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string = string.replace('\\begin{blockquote}', '> ')
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string = string.replace('\\begin{blockquote}', '> ')
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string = string.replace('\\end{blockquote}', '')
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string = string.replace('\\end{blockquote}', '')
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string = re.sub(r"(.)```", r"\1\n```", string)
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string = re.sub(r"(.)```", r"\1\n```", string)
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# string = fix_newlines(string)
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string = fix_newlines(string)
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return markdown.markdown(string, extensions=['fenced_code'])
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return markdown.markdown(string, extensions=['fenced_code'])
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def generate_basic_html(string):
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def generate_basic_html(string):
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@ -494,7 +494,7 @@ def create_interface():
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shared.gradio['reset_interface'] = gr.Button("Apply and restart the interface", type="primary")
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shared.gradio['reset_interface'] = gr.Button("Apply and restart the interface", type="primary")
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shared.gradio['reset_interface'].click(set_interface_arguments, [shared.gradio[k] for k in ['interface_modes_menu', 'extensions_menu', 'cmd_arguments_menu']], None)
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shared.gradio['reset_interface'].click(set_interface_arguments, [shared.gradio[k] for k in ['interface_modes_menu', 'extensions_menu', 'cmd_arguments_menu']], None)
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shared.gradio['reset_interface'].click(lambda : None, None, None, _js='() => {document.body.innerHTML=\'<h1 style="font-family:monospace;margin-top:20%;color:lightgray;text-align:center;">Reloading...</h1>\'; setTimeout(function(){location.reload()},2500)}')
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shared.gradio['reset_interface'].click(lambda : None, None, None, _js='() => {document.body.innerHTML=\'<h1 style="font-family:monospace;margin-top:20%;color:lightgray;text-align:center;">Reloading...</h1>\'; setTimeout(function(){location.reload()},2500); return []}')
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if shared.args.extensions is not None:
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if shared.args.extensions is not None:
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extensions_module.create_extensions_block()
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extensions_module.create_extensions_block()
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