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Runtime error
Update app.py
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app.py
CHANGED
@@ -86,7 +86,8 @@ def evaluate(
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gpu_info = nvmlDeviceGetMemoryInfo(gpu_h)
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print(f'vram {gpu_info.total} used {gpu_info.used} free {gpu_info.free}')
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gc.collect()
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torch.cuda.empty_cache()
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yield out_str.strip()
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@@ -243,7 +244,7 @@ def chat(
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with gr.Blocks(title=title) as demo:
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gr.HTML(f"<div style=\"text-align: center;\">\n<h1>🐦Raven - {title}</h1>\n</div>")
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with gr.Tab("Instruct mode"):
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gr.Markdown(f"Raven is [RWKV 14B](https://github.com/BlinkDL/ChatRWKV) 100% RNN [RWKV-LM](https://github.com/BlinkDL/RWKV-LM) finetuned to follow instructions. *** Please try examples first (bottom of page) *** (edit them to use your question). Demo limited to ctxlen {ctx_limit}. Finetuned on alpaca, gpt4all, codealpaca and more. For best results, *** keep you prompt short and clear ***. <b>UPDATE: now with Chat (see above, as a tab)
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with gr.Row():
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with gr.Column():
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instruction = gr.Textbox(lines=2, label="Instruction", value="Tell me about ravens.")
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@@ -263,42 +264,42 @@ with gr.Blocks(title=title) as demo:
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clear.click(lambda: None, [], [output])
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data.click(lambda x: x, [data], [instruction, input, token_count, temperature, top_p, presence_penalty, count_penalty])
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with gr.Tab("Chat (Experimental - Might be buggy - use ChatRWKV for reference)"):
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demo.queue(concurrency_count=1, max_size=10)
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demo.launch(share=False)
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gpu_info = nvmlDeviceGetMemoryInfo(gpu_h)
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print(f'vram {gpu_info.total} used {gpu_info.used} free {gpu_info.free}')
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del out
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del state
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gc.collect()
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torch.cuda.empty_cache()
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yield out_str.strip()
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with gr.Blocks(title=title) as demo:
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gr.HTML(f"<div style=\"text-align: center;\">\n<h1>🐦Raven - {title}</h1>\n</div>")
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with gr.Tab("Instruct mode"):
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gr.Markdown(f"Raven is [RWKV 14B](https://github.com/BlinkDL/ChatRWKV) 100% RNN [RWKV-LM](https://github.com/BlinkDL/RWKV-LM) finetuned to follow instructions. *** Please try examples first (bottom of page) *** (edit them to use your question). Demo limited to ctxlen {ctx_limit}. Finetuned on alpaca, gpt4all, codealpaca and more. For best results, *** keep you prompt short and clear ***. <b>UPDATE: now with Chat (see above, as a tab) ==> turn off as of now due to VRAM leak caused by buggy code.</b>.")
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with gr.Row():
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with gr.Column():
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instruction = gr.Textbox(lines=2, label="Instruction", value="Tell me about ravens.")
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clear.click(lambda: None, [], [output])
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data.click(lambda x: x, [data], [instruction, input, token_count, temperature, top_p, presence_penalty, count_penalty])
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# with gr.Tab("Chat (Experimental - Might be buggy - use ChatRWKV for reference)"):
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# gr.Markdown(f'''<b>*** The length of response is restricted in this demo. Use ChatRWKV for longer generations. ***</b> Say "go on" or "continue" can sometimes continue the response. If you'd like to edit the scenario, make sure to follow the exact same format: empty lines between (and only between) different speakers. Changes only take effect after you press [Clear]. <b>The default "Bob" & "Alice" names work the best.</b>''', label="Description")
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# with gr.Row():
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# with gr.Column():
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# chatbot = gr.Chatbot()
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# state = gr.State()
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# message = gr.Textbox(label="Message", value="Write me a python code to land on moon.")
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# with gr.Row():
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# send = gr.Button("Send", variant="primary")
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# alt = gr.Button("Alternative", variant="secondary")
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# clear = gr.Button("Clear", variant="secondary")
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# with gr.Column():
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# with gr.Row():
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# user_name = gr.Textbox(lines=1, max_lines=1, label="User Name", value="Bob")
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# bot_name = gr.Textbox(lines=1, max_lines=1, label="Bot Name", value="Alice")
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# prompt = gr.Textbox(lines=10, max_lines=50, label="Scenario", value=chat_intro)
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# temperature = gr.Slider(0.2, 2.0, label="Temperature", step=0.1, value=1.2)
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# top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.5)
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# presence_penalty = gr.Slider(0.0, 1.0, label="Presence Penalty", step=0.1, value=0.4)
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# count_penalty = gr.Slider(0.0, 1.0, label="Count Penalty", step=0.1, value=0.4)
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# chat_inputs = [
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# prompt,
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# user_name,
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# bot_name,
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# chatbot,
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# state,
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# temperature,
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# top_p,
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# presence_penalty,
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# count_penalty
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# ]
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# chat_outputs = [chatbot, state]
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# message.submit(user, [message, chatbot], [message, chatbot], queue=False).then(chat, chat_inputs, chat_outputs)
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# send.click(user, [message, chatbot], [message, chatbot], queue=False).then(chat, chat_inputs, chat_outputs)
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# alt.click(alternative, [chatbot, state], [chatbot, state], queue=False).then(chat, chat_inputs, chat_outputs)
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# clear.click(lambda: ([], None, ""), [], [chatbot, state, message], queue=False)
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demo.queue(concurrency_count=1, max_size=10)
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demo.launch(share=False)
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