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app.py
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import gradio as gr
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from huggingface_hub import InferenceClient
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client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.2")
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def format_prompt(message, job_profession):
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system_prompt = f"You are a People Generator. You generate People based on user input, always in the following Format: You are (Name) (Age) old from (Country), you are an expert in the field {job_profession}. It is very IMPORTANT! that you response always in the given Format. Do NOT response with I am! Always Start with You are!"
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prompt = f"<s>[SYS] {system_prompt} [/SYS][INST] {message} [/INST]</s>"
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return prompt
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def generate(message, job_profession, temperature=0.9, max_new_tokens=8192, top_p=0.95, repetition_penalty=1.0):
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# Parse the input to determine job profession based on the presence of a message.
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actual_job = message if message else job_profession
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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 = {
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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("", actual_job) # message should be empty here if we're using job from input
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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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css = """
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#mkd {
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height: 500px;
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overflow: auto;
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border: 1px solid #ccc;
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}
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"""
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with gr.Blocks(css=css) as demo:
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with gr.Row():
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with gr.Column(scale=2):
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gr.HTML("<h1>Settings</h1>")
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job_dropdown = gr.Dropdown(
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label="Choose a job profession",
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choices=["Relationship Expert", "Sales Manager", "Blue Team Hacker", "Senior Web Developer", "C++ Developer", "Article Author", "News Anchor", "Finance Advisor"],
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value="Relationship Expert" # Initial value
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)
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with gr.Column(scale=3):
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gr.HTML("<h1><center>GPT Prompt Generator<h1><center>")
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message_input = gr.Textbox(label="Input your message (overrides job dropdown)", placeholder="Type a job profession here to override the dropdown...")
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generate_button = gr.Button("Generate")
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output_area = gr.Textbox(label="AI Response", interactive=False, lines=10)
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generate_button.click(
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fn=generate,
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inputs=[message_input, job_dropdown],
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outputs=output_area
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)
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demo.launch(debug=True)
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