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Update app.py
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app.py
CHANGED
@@ -3,13 +3,19 @@ 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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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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@@ -28,7 +34,7 @@ def generate(
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seed=42,
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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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@@ -40,24 +46,7 @@ def generate(
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mychatbot = gr.Chatbot(
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avatar_images=["./user.png", "./botm.png"],
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bubble_full_width=False,
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show_label=False,
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show_copy_button=True,
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likeable=True,
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)
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def echo(message, history, system_prompt):
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# Use the system prompt to modify the model's behavior
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# For example, you can prepend the system prompt to the message
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# Or you can use it to control some parameters of the model
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# Here we just return the system prompt and the message as a simple example
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return f"{system_prompt}: {message}"
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with gr.Blocks() as demo:
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system_prompt = gr.Textbox("Your name is Stella. You're a helpful AI who helps the user.", label="System Prompt", render=False)
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gr.ChatInterface(echo, additional_inputs=[system_prompt], chatbot=mychatbot).launch()
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demo = gr.ChatInterface(fn=generate,
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chatbot=mychatbot,
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client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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def format_prompt(message, history, system_prompt=None):
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prompt = "<s>"
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# Adding system prompt if provided
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if system_prompt:
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prompt += f"[SYS] {system_prompt} [/SYS]"
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for user_prompt, bot_response in history:
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prompt += f"[INST] {user_prompt} [/INST]"
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prompt += f" {bot_response}</s> "
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prompt += f"[INST] {message} [/INST]"
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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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seed=42,
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)
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formatted_prompt = format_prompt(prompt, history, system_prompt="Hello there! I'm Stella, your friendly AI companion. How can I assist you today?")
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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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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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