Spaces:
Sleeping
Sleeping
revert to old api, fix prompt
Browse files
app.py
CHANGED
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@@ -1,56 +1,52 @@
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import spaces
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from huggingface_hub import InferenceClient
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import gradio as gr
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@spaces.GPU(duration=60)
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def generate_response(chat, kwargs):
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output = ''
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stream = client.text_generation(chat, **kwargs, stream=True, details=True, return_full_text=False)
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for response in stream:
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output += response.token.text
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return output
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for user_prompt, bot_response in history:
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chat += f"[INST] {user_prompt} [/INST] {bot_response}</s> "
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chat += f"[INST] {prompt} [/INST]"
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kwargs = dict(
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temperature=0.80,
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max_new_tokens=2048,
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top_p=0.95,
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repetition_penalty=1.0,
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do_sample=True, # Upewnij się, że używasz próbkowania
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seed=1337
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)
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chatbot=gr.Chatbot(
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avatar_images=None,
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container=False,
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show_copy_button=True,
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layout='bubble',
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render_markdown=True,
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line_breaks=True
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),
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css='h1 {font-size:22px;} h2 {font-size:20px;} h3 {font-size:18px;} h4 {font-size:16px;}',
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autofocus=True,
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fill_height=True,
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analytics_enabled=False,
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submit_btn='Chat',
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stop_btn=None,
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retry_btn=None,
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undo_btn=None,
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clear_btn=None
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)
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interface.launch(show_api=True)
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from huggingface_hub import InferenceClient
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import gradio as gr
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import spaces
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client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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def format_prompt(message, history):
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prompt = ""
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for user_prompt, bot_response in history:
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prompt += f"<s>[INST] {user_prompt} [/INST] {bot_response}</s>"
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prompt += f"<s>[INST] {message} [/INST]</s>"
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return prompt
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@spaces.GPU
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def generate(
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prompt, history, temperature=0, max_new_tokens=4096, top_p=0.95, repetition_penalty=1.0,
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):
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temperature = float(temperature)
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if temperature < 1e-2:
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temperature = 1e-2
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top_p = float(top_p)
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generate_kwargs = dict(
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temperature=temperature,
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max_new_tokens=max_new_tokens,
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top_p=top_p,
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repetition_penalty=repetition_penalty,
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do_sample=True,
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seed=42,
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)
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formatted_prompt = format_prompt(prompt, history)
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stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
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output = ""
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for response in stream:
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output += response.token.text
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yield output
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return output
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mychatbot = gr.Chatbot(
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bubble_full_width=False, show_label=False, show_copy_button=True, likeable=True,)
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demo = gr.ChatInterface(fn=generate,
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chatbot=mychatbot,
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title="Test API :)",
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retry_btn=None,
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undo_btn=None
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)
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demo.queue().launch(show_api=True)
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