Update app.py

app.py

@@ -5,17 +5,17 @@ from huggingface_hub import hf_hub_download
 from pynvml import *
 nvmlInit()
 gpu_h = nvmlDeviceGetHandleByIndex(0)
-ctx_limit = 1536
-title = "RWKV-4-Raven-14B-v12-Eng98%-Other2%-20230523-ctx8192"
+ctx_limit = 3000
+title = "RWKV-5-World-1.5B-v2-OnlyForTest_56%_trained-20231013-ctx4096"
 
 os.environ["RWKV_JIT_ON"] = '1'
 os.environ["RWKV_CUDA_ON"] = '1' # if '1' then use CUDA kernel for seq mode (much faster)
 
 from rwkv.model import RWKV
-model_path = hf_hub_download(repo_id="BlinkDL/rwkv-4-raven", filename=f"{title}.pth")
-model = RWKV(model=model_path, strategy='cuda fp16i8 *24 -> cuda fp16')
+model_path = hf_hub_download(repo_id="BlinkDL/temp", filename=f"{title}.pth")
+model = RWKV(model=model_path, strategy='cuda fp16')
 from rwkv.utils import PIPELINE, PIPELINE_ARGS
-pipeline = PIPELINE(model, "20B_tokenizer.json")
+pipeline = PIPELINE(model, "rwkv_vocab_v20230424")
 
 def generate_prompt(instruction, input=None):
     instruction = instruction.strip().replace('\r\n','\n').replace('\n\n','\n')
@@ -95,165 +95,27 @@ def evaluate(
     yield out_str.strip()
 
 examples = [
-    ["Tell me about ravens.", "", 300, 1.2, 0.5, 0.4, 0.4],
-    ["Write a python function to mine 1 BTC, with details and comments.", "", 300, 1.2, 0.5, 0.4, 0.4],
-    ["Write a song about ravens.", "", 300, 1.2, 0.5, 0.4, 0.4],
-    ["Explain the following metaphor: Life is like cats.", "", 300, 1.2, 0.5, 0.4, 0.4],
-    ["Write a story using the following information", "A man named Alex chops a tree down", 300, 1.2, 0.5, 0.4, 0.4],
-    ["Generate a list of adjectives that describe a person as brave.", "", 300, 1.2, 0.5, 0.4, 0.4],
-    ["You have $100, and your goal is to turn that into as much money as possible with AI and Machine Learning. Please respond with detailed plan.", "", 300, 1.2, 0.5, 0.4, 0.4],
+    ["Tell me about ravens.", "", 300, 1, 0.5, 0.4, 0.4],
+    ["Write a python function to mine 1 BTC, with details and comments.", "", 300, 1, 0.5, 0.4, 0.4],
+    ["Write a song about ravens.", "", 300, 1, 0.5, 0.4, 0.4],
+    ["Explain the following metaphor: Life is like cats.", "", 300, 1, 0.5, 0.4, 0.4],
+    ["Write a story using the following information", "A man named Alex chops a tree down", 300, 1, 0.5, 0.4, 0.4],
+    ["Generate a list of adjectives that describe a person as brave.", "", 300, 1, 0.5, 0.4, 0.4],
+    ["You have $100, and your goal is to turn that into as much money as possible with AI and Machine Learning. Please respond with detailed plan.", "", 300, 1, 0.5, 0.4, 0.4],
 ]
 
 ##########################################################################
 
-chat_intro = '''The following is a coherent verbose detailed conversation between <|user|> and an AI girl named <|bot|>.
-
-<|user|>: Hi <|bot|>, Would you like to chat with me for a while?
-
-<|bot|>: Hi <|user|>. Sure. What would you like to talk about? I'm listening.
-'''
-
-def user(message, chatbot):
-    chatbot = chatbot or []
-    # print(f"User: {message}")
-    return "", chatbot + [[message, None]]
-
-def alternative(chatbot, history):
-    if not chatbot or not history:
-        return chatbot, history
-    
-    chatbot[-1][1] = None
-    history[0] = copy.deepcopy(history[1])
-
-    return chatbot, history
-
-def chat(
-        prompt,
-        user,
-        bot,
-        chatbot,
-        history,
-        temperature=1.0,
-        top_p=0.8,
-        presence_penalty=0.1,
-        count_penalty=0.1,
-):
-    args = PIPELINE_ARGS(temperature=max(0.2, float(temperature)), top_p=float(top_p),
-                         alpha_frequency=float(count_penalty),
-                         alpha_presence=float(presence_penalty),
-                         token_ban=[],  # ban the generation of some tokens
-                         token_stop=[])  # stop generation whenever you see any token here
-    
-    if not chatbot:
-        return chatbot, history
-
-    message = chatbot[-1][0]
-    message = message.strip().replace('\r\n','\n').replace('\n\n','\n')
-    ctx = f"{user}: {message}\n\n{bot}:"
-
-    if not history:
-        prompt = prompt.replace("<|user|>", user.strip())
-        prompt = prompt.replace("<|bot|>", bot.strip())
-        prompt = prompt.strip()
-        prompt = f"\n{prompt}\n\n"
-
-        out, state = model.forward(pipeline.encode(prompt), None)
-        history = [state, None, []]  # [state, state_pre, tokens]
-        # print("History reloaded.")
-
-    [state, _, all_tokens] = history
-    state_pre_0 = copy.deepcopy(state)
-
-    out, state = model.forward(pipeline.encode(ctx)[-ctx_limit:], state)
-    state_pre_1 = copy.deepcopy(state)    # For recovery
-
-    # print("Bot:", end='')
-
-    begin = len(all_tokens)
-    out_last = begin
-    out_str: str = ''
-    occurrence = {}
-    for i in range(300):
-        if i <= 0:
-            nl_bias = -float('inf')
-        elif i <= 30:
-            nl_bias = (i - 30) * 0.1
-        elif i <= 130:
-            nl_bias = 0
-        else:
-            nl_bias = (i - 130) * 0.25
-        out[187] += nl_bias
-        for n in occurrence:
-            out[n] -= (args.alpha_presence + occurrence[n] * args.alpha_frequency)
-
-        token = pipeline.sample_logits(out, temperature=args.temperature, top_p=args.top_p)
-        next_tokens = [token]
-        if token == 0:
-            next_tokens = pipeline.encode('\n\n')
-        all_tokens += next_tokens
-        for xxx in occurrence:
-            occurrence[xxx] *= 0.996
-        if token not in occurrence:
-            occurrence[token] = 1
-        else:
-            occurrence[token] += 1
-
-        out, state = model.forward(next_tokens, state)
-
-        tmp = pipeline.decode(all_tokens[out_last:])
-        if '\ufffd' not in tmp:
-            # print(tmp, end='', flush=True)
-            out_last = begin + i + 1
-            out_str += tmp
-
-            chatbot[-1][1] = out_str.strip()
-            history = [state, all_tokens]
-            yield chatbot, history
-
-        out_str = pipeline.decode(all_tokens[begin:])
-        out_str = out_str.replace("\r\n", '\n').replace('\\n', '\n')
-
-        if '\n\n' in out_str:
-            break
-
-        # State recovery
-        if f'{user}:' in out_str or f'{bot}:' in out_str:
-            idx_user = out_str.find(f'{user}:')
-            idx_user = len(out_str) if idx_user == -1 else idx_user
-            idx_bot = out_str.find(f'{bot}:')
-            idx_bot = len(out_str) if idx_bot == -1 else idx_bot
-            idx = min(idx_user, idx_bot)
-
-            if idx < len(out_str):
-                out_str = f" {out_str[:idx].strip()}\n\n"
-                tokens = pipeline.encode(out_str)
-
-                all_tokens = all_tokens[:begin] + tokens
-                out, state = model.forward(tokens, state_pre_1)
-                break
-
-    gpu_info = nvmlDeviceGetMemoryInfo(gpu_h)
-    print(f'vram {gpu_info.total} used {gpu_info.used} free {gpu_info.free}')  
-
-    gc.collect()
-    torch.cuda.empty_cache()
-
-    chatbot[-1][1] = out_str.strip()
-    history = [state, state_pre_0, all_tokens]
-    yield chatbot, history
-
-##########################################################################
-
 with gr.Blocks(title=title) as demo:
-    gr.HTML(f"<div style=\"text-align: center;\">\n<h1>🐦Raven - {title}</h1>\n</div>")
+    gr.HTML(f"<div style=\"text-align: center;\">\n<h1>RWKV-5 World v2 - {title}</h1>\n</div>")
     with gr.Tab("Instruct mode"):
-        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>.")
+        gr.Markdown(f"This is a 1.5B [RWKV-5 World v2](https://huggingface.co/BlinkDL/rwkv-5-world) 100% RNN [RWKV-LM](https://github.com/BlinkDL/RWKV-LM). *** Please try examples first (bottom of page) *** (edit them to use your question). Demo limited to ctxlen {ctx_limit}. For best results, *** keep you prompt short and clear ***.")
         with gr.Row():
             with gr.Column():
                 instruction = gr.Textbox(lines=2, label="Instruction", value="Tell me about ravens.")
                 input = gr.Textbox(lines=2, label="Input", placeholder="none")
-                token_count = gr.Slider(10, 300, label="Max Tokens", step=10, value=300)
-                temperature = gr.Slider(0.2, 2.0, label="Temperature", step=0.1, value=1.2)
+                token_count = gr.Slider(10, 500, label="Max Tokens", step=10, value=500)
+                temperature = gr.Slider(0.2, 2.0, label="Temperature", step=0.1, value=1.0)
                 top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.5)
                 presence_penalty = gr.Slider(0.0, 1.0, label="Presence Penalty", step=0.1, value=0.4)
                 count_penalty = gr.Slider(0.0, 1.0, label="Count Penalty", step=0.1, value=0.4)
@@ -266,43 +128,6 @@ with gr.Blocks(title=title) as demo:
         submit.click(evaluate, [instruction, input, token_count, temperature, top_p, presence_penalty, count_penalty], [output])
         clear.click(lambda: None, [], [output])
         data.click(lambda x: x, [data], [instruction, input, token_count, temperature, top_p, presence_penalty, count_penalty])
-    
-    # with gr.Tab("Chat (Experimental - Might be buggy - use ChatRWKV for reference)"):
-    #     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")
-    #     with gr.Row():
-    #         with gr.Column():
-    #             chatbot = gr.Chatbot()
-    #             state = gr.State()
-    #             message = gr.Textbox(label="Message", value="Write me a python code to land on moon.")
-    #             with gr.Row():
-    #                 send = gr.Button("Send", variant="primary")
-    #                 alt = gr.Button("Alternative", variant="secondary")
-    #                 clear = gr.Button("Clear", variant="secondary")
-    #         with gr.Column():
-    #             with gr.Row():
-    #                 user_name = gr.Textbox(lines=1, max_lines=1, label="User Name", value="Bob")
-    #                 bot_name = gr.Textbox(lines=1, max_lines=1, label="Bot Name", value="Alice")
-    #             prompt = gr.Textbox(lines=10, max_lines=50, label="Scenario", value=chat_intro)
-    #             temperature = gr.Slider(0.2, 2.0, label="Temperature", step=0.1, value=1.2)
-    #             top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.5)
-    #             presence_penalty = gr.Slider(0.0, 1.0, label="Presence Penalty", step=0.1, value=0.4)
-    #             count_penalty = gr.Slider(0.0, 1.0, label="Count Penalty", step=0.1, value=0.4)
-    #     chat_inputs = [
-    #         prompt,
-    #         user_name,
-    #         bot_name,
-    #         chatbot,
-    #         state,
-    #         temperature,
-    #         top_p,
-    #         presence_penalty,
-    #         count_penalty
-    #     ]
-    #     chat_outputs = [chatbot, state]
-    #     message.submit(user, [message, chatbot], [message, chatbot], queue=False).then(chat, chat_inputs, chat_outputs)
-    #     send.click(user, [message, chatbot], [message, chatbot], queue=False).then(chat, chat_inputs, chat_outputs)
-    #     alt.click(alternative, [chatbot, state], [chatbot, state], queue=False).then(chat, chat_inputs, chat_outputs)
-    #     clear.click(lambda: ([], None, ""), [], [chatbot, state, message], queue=False)
 
 demo.queue(concurrency_count=1, max_size=10)
 demo.launch(share=False)