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14e5da3
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Parent(s):
015885c
updated and cleaned up the streaming code (#15)
Browse files- updated and cleaned up the streaming code (63c0b01fef5a1fddd405ffccfe51a81e493ca700)
Co-authored-by: yuvraj sharma <[email protected]>
app.py
CHANGED
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@@ -29,18 +29,18 @@ class StopOnTokens(StoppingCriteria):
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return True
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return False
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def
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history = history + [[user_message, ""]]
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def bot(history, curr_system_message):
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stop = StopOnTokens()
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messages = curr_system_message + \
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"".join(["".join(["<|USER|>"+item[0], "<|ASSISTANT|>"+item[1]])
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for item in history])
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#
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model_inputs = tok([messages], return_tensors="pt").to("cuda")
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streamer = TextIteratorStreamer(tok, timeout=10., skip_prompt=True, skip_special_tokens=True)
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generate_kwargs = dict(
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@@ -58,16 +58,18 @@ def bot(history, curr_system_message):
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t.start()
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print(history)
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for new_text in streamer:
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print(new_text)
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with gr.Blocks() as demo:
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history = gr.State([])
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gr.Markdown("## StableLM-Tuned-Alpha-7b Chat")
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gr.HTML('''<center><a href="https://huggingface.co/spaces/stabilityai/stablelm-tuned-alpha-chat?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>Duplicate the Space to skip the queue and run in a private space</center>''')
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chatbot = gr.Chatbot().style(height=500)
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@@ -81,10 +83,9 @@ with gr.Blocks() as demo:
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system_msg = gr.Textbox(
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start_message, label="System Message", interactive=False, visible=False)
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msg.submit(fn=
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clear.click(lambda: [None, []], None, [chatbot, history], queue=False)
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demo.queue(concurrency_count=2)
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demo.launch()
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return True
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return False
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def chat(curr_system_message, user_message, history):
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# Append the user's message to the conversation history
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history = history + [[user_message, ""]]
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# Initialize a StopOnTokens object
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stop = StopOnTokens()
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# Construct the input message string for the model by concatenating the current system message and conversation history
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messages = curr_system_message + \
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"".join(["".join(["<|USER|>"+item[0], "<|ASSISTANT|>"+item[1]])
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for item in history])
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# Tokenize the messages string
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model_inputs = tok([messages], return_tensors="pt").to("cuda")
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streamer = TextIteratorStreamer(tok, timeout=10., skip_prompt=True, skip_special_tokens=True)
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generate_kwargs = dict(
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t.start()
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print(history)
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# Initialize an empty string to store the generated text
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partial_text = ""
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for new_text in streamer:
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print(new_text)
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partial_text += new_text
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history[-1][1] = partial_text
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# Yield an empty string to cleanup the message textbox and the updated conversation history
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yield "", history
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with gr.Blocks() as demo:
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#history = gr.State([])
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gr.Markdown("## StableLM-Tuned-Alpha-7b Chat")
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gr.HTML('''<center><a href="https://huggingface.co/spaces/stabilityai/stablelm-tuned-alpha-chat?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>Duplicate the Space to skip the queue and run in a private space</center>''')
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chatbot = gr.Chatbot().style(height=500)
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system_msg = gr.Textbox(
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start_message, label="System Message", interactive=False, visible=False)
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msg.submit(fn=chat, inputs=[system_msg, msg, chatbot], outputs=[msg, chatbot], queue=True)
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submit.click(fn=chat, inputs=[system_msg, msg, chatbot], outputs=[msg, chatbot], queue=True)
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clear.click(lambda: [None, []], None, [chatbot], queue=False)
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demo.queue(concurrency_count=2)
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demo.launch()
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