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https://github.com/oobabooga/text-generation-webui.git
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Allow specifying your own profile picture in chat mode
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@ -113,6 +113,8 @@ Then browse to
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`http://localhost:7860/?__theme=dark`
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Optionally, you can use the following command-line flags:
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| Flag | Description |
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@ -121,7 +123,7 @@ Optionally, you can use the following command-line flags:
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| `--model MODEL` | Name of the model to load by default. |
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| `--notebook` | Launch the web UI in notebook mode, where the output is written to the same text box as the input. |
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| `--chat` | Launch the web UI in chat mode.|
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| `--cai-chat` | Launch the web UI in chat mode with a style similar to Character.AI's. If the file profile.png or profile.jpg exists in the same folder as server.py, this image will be used as the bot's profile picture. |
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| `--cai-chat` | Launch the web UI in chat mode with a style similar to Character.AI's. If the file img-bot.png or img-bot.jpg exists in the same folder as server.py, this image will be used as the bot's profile picture. Similarly, img-you.png or img-you.jpg will be used as your profile picture. |
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| `--cpu` | Use the CPU to generate text.|
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| `--load-in-8bit` | Load the model with 8-bit precision.|
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| `--auto-devices` | Automatically split the model across the available GPU(s) and CPU.|
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@ -196,7 +196,7 @@ def generate_chat_html(history, name1, name2, character):
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border-radius: 50%;
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}
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.circle-bot img {
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.circle-bot img, .circle-you img {
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border-radius: 50%;
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width: 100%;
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height: 100%;
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@ -225,15 +225,21 @@ def generate_chat_html(history, name1, name2, character):
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f"characters/{character}.png",
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f"characters/{character}.jpg",
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f"characters/{character}.jpeg",
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"profile.png",
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"profile.jpg",
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"profile.jpeg",
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"img_bot.png",
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"img_bot.jpg",
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"img_bot.jpeg"
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]:
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if Path(i).exists():
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img = f'<img src="file/{i}">'
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break
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img_you = ''
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for i in ["img_me.png", "img_me.jpg", "img_me.jpeg"]:
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if Path(i).exists():
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img_you = f'<img src="file/{i}">'
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break
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for i,_row in enumerate(history[::-1]):
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row = _row.copy()
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row[0] = re.sub(r"[\\]*\*", r"*", row[0])
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@ -262,6 +268,7 @@ def generate_chat_html(history, name1, name2, character):
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output += f"""
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<div class="message">
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<div class="circle-you">
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{img_you}
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</div>
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<div class="text">
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<div class="username">
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@ -20,7 +20,7 @@ filelock==3.9.0
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fonttools==4.38.0
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frozenlist==1.3.3
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fsspec==2022.11.0
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gradio==3.16.2
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gradio==3.15.0
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h11==0.14.0
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httpcore==0.16.3
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httpx==0.23.1
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@ -22,7 +22,7 @@ parser = argparse.ArgumentParser()
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parser.add_argument('--model', type=str, help='Name of the model to load by default.')
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parser.add_argument('--notebook', action='store_true', help='Launch the web UI in notebook mode, where the output is written to the same text box as the input.')
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parser.add_argument('--chat', action='store_true', help='Launch the web UI in chat mode.')
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parser.add_argument('--cai-chat', action='store_true', help='Launch the web UI in chat mode with a style similar to Character.AI\'s. If the file profile.png or profile.jpg exists in the same folder as server.py, this image will be used as the bot\'s profile picture.')
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parser.add_argument('--cai-chat', action='store_true', help='Launch the web UI in chat mode with a style similar to Character.AI\'s. If the file img-bot.png or img-bot.jpg exists in the same folder as server.py, this image will be used as the bot\'s profile picture. Similarly, img-you.png or img-you.jpg will be used as your profile picture.')
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parser.add_argument('--cpu', action='store_true', help='Use the CPU to generate text.')
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parser.add_argument('--load-in-8bit', action='store_true', help='Load the model with 8-bit precision.')
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parser.add_argument('--auto-devices', action='store_true', help='Automatically split the model across the available GPU(s) and CPU.')
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@ -80,7 +80,6 @@ def load_model(model_name):
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model = AutoModelForCausalLM.from_pretrained(Path(f"models/{model_name}"), device_map='auto', load_in_8bit=True)
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else:
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model = AutoModelForCausalLM.from_pretrained(Path(f"models/{model_name}"), low_cpu_mem_usage=True, torch_dtype=torch.float16).cuda()
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# Custom
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else:
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settings = ["low_cpu_mem_usage=True"]
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@ -186,8 +185,9 @@ def generate_reply(question, tokens, inference_settings, selected_model, eos_tok
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t = encode(stopping_string, 0, add_special_tokens=False)
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stopping_criteria_list = transformers.StoppingCriteriaList([
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_SentinelTokenStoppingCriteria(
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sentinel_token_ids=t,
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starting_idx=len(input_ids[0]))
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sentinel_token_ids=t,
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starting_idx=len(input_ids[0])
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)
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])
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else:
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stopping_criteria_list = None
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@ -366,7 +366,6 @@ if args.chat or args.cai_chat:
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load_character(_character, name1, name2)
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else:
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history = []
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_history = remove_example_dialogue_from_history(history)
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if args.cai_chat:
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return generate_chat_html(_history, name1, name2, character)
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