Update app.py
Browse files
app.py
CHANGED
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@@ -1,10 +1,7 @@
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from huggingface_hub import InferenceClient
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import gradio as gr
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client = InferenceClient(
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"mistralai/Mixtral-8x7B-Instruct-v0.1"
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)
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def format_prompt(message, history):
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prompt = "<s>"
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@@ -15,7 +12,7 @@ def format_prompt(message, history):
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return prompt
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def generate(
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prompt, history,
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):
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temperature = float(temperature)
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if temperature < 1e-2:
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@@ -31,7 +28,8 @@ def generate(
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seed=42,
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)
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formatted_prompt = format_prompt(
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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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@@ -40,64 +38,15 @@ def generate(
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yield output
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return output
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gr.Slider(
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label="Temperature",
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value=0.9,
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minimum=0.0,
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maximum=1.0,
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step=0.05,
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interactive=True,
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info="Higher values produce more diverse outputs",
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),
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gr.Slider(
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label="Max new tokens",
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value=256,
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minimum=0,
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maximum=1048,
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step=64,
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interactive=True,
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info="The maximum numbers of new tokens",
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),
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gr.Slider(
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label="Top-p (nucleus sampling)",
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value=0.90,
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minimum=0.0,
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maximum=1,
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step=0.05,
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interactive=True,
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info="Higher values sample more low-probability tokens",
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),
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gr.Slider(
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label="Repetition penalty",
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value=1.2,
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minimum=1.0,
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maximum=2.0,
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step=0.05,
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interactive=True,
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info="Penalize repeated tokens",
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)
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]
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examples=[["I'm planning a vacation to Japan. Can you suggest a one-week itinerary including must-visit places and local cuisines to try?", None, None, None, None, None, ],
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["Can you write a short story about a time-traveling detective who solves historical mysteries?", None, None, None, None, None,],
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["I'm trying to learn French. Can you provide some common phrases that would be useful for a beginner, along with their pronunciations?", None, None, None, None, None,],
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["I have chicken, rice, and bell peppers in my kitchen. Can you suggest an easy recipe I can make with these ingredients?", None, None, None, None, None,],
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["Can you explain how the QuickSort algorithm works and provide a Python implementation?", None, None, None, None, None,],
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["What are some unique features of Rust that make it stand out compared to other systems programming languages like C++?", None, None, None, None, None,],
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]
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fn=generate,
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chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
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additional_inputs=additional_inputs,
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title="globecen bot",
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examples=examples,
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concurrency_limit=20,
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).launch(show_api=False)
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from huggingface_hub import InferenceClient
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import gradio as gr
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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 = "<s>"
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return prompt
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def generate(
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prompt, history, temperature=0.2, max_new_tokens=256, 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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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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yield output
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return output
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mychatbot = gr.Chatbot(
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avatar_images=["./user.png", "./botm.png"], 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="globecen Mixtral 8x7b Chat",
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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=False)
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