Update app.py
Browse files
app.py
CHANGED
@@ -1,67 +1,4 @@
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from huggingface_hub import InferenceClient
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import gradio as gr
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"TurtleLiu/mistral7b_psychology_bot"
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)
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def format_prompt(message, history):
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prompt = "<s>"
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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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'''
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def format_prompt(message, history):
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prompt = "<s>"
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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] As a psychology counselor assistant, provide an assessment and plan for the following counseling notes. Please present a summary, don't make it so long. Present in lines.: {message} [/INST]"
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return prompt
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'''
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def generate(
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prompt, history, temperature=0.9, max_new_tokens=1024, 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(f"{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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examples=[
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["Patient is feeling stressed due to work and has trouble sleeping.", None, None, None, None, None],
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["Client is dealing with relationship issues and is seeking advice on communication strategies.", None, None, None, None, None],
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["Individual has recently experienced a loss and is having difficulty coping with grief.", None, None, None, None, None],
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]
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gr.ChatInterface(
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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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title="Psychological Assistant: Expert in Assessment and Strategic Planning",
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description="Enter counseling notes to generate an assessment and plan.",
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examples=examples,
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concurrency_limit=20,
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).launch(show_api=False, debug=True)
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from huggingface_hub import InferenceClient
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import gradio as gr
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gr.load("models/TurtleLiu/mistral7b_psychology_bot").launch()
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