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Update app.py
Browse files
app.py
CHANGED
@@ -21,28 +21,22 @@ def generate_prompt(instruction, input=None):
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instruction = instruction.strip().replace('\r\n','\n').replace('\n\n','\n')
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input = input.strip().replace('\r\n','\n').replace('\n\n','\n')
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if input:
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return f"""
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{instruction}
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{input}
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# Response:
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"""
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else:
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return f"""
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{instruction}
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"""
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def evaluate(
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input=None,
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token_count=200,
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temperature=1.0,
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top_p=0.7,
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@@ -54,11 +48,6 @@ def evaluate(
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alpha_presence = presencePenalty,
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token_ban = [], # ban the generation of some tokens
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token_stop = [0]) # stop generation whenever you see any token here
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instruction = instruction.strip().replace('\r\n','\n').replace('\n\n','\n')
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input = input.strip().replace('\r\n','\n').replace('\n\n','\n')
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ctx = generate_prompt(instruction, input)
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all_tokens = []
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out_last = 0
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out_str = ''
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@@ -95,13 +84,12 @@ def evaluate(
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yield out_str.strip()
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examples = [
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["Tell me about ravens.",
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["Write a python function to mine 1 BTC
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["Write a song about ravens.", "",
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["
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["
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["
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["You have $100, and your goal is to turn that into as much money as possible with AI and Machine Learning. Please respond with detailed plan.", "", 300, 1, 0.5, 0.4, 0.4],
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]
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##########################################################################
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@@ -124,10 +112,10 @@ with gr.Blocks(title=title) as demo:
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submit = gr.Button("Submit", variant="primary")
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clear = gr.Button("Clear", variant="secondary")
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output = gr.Textbox(label="Output", lines=5)
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data = gr.Dataset(components=[
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submit.click(evaluate, [
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clear.click(lambda: None, [], [output])
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data.click(lambda x: x, [data], [
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demo.queue(concurrency_count=1, max_size=10)
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demo.launch(share=False)
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instruction = instruction.strip().replace('\r\n','\n').replace('\n\n','\n')
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input = input.strip().replace('\r\n','\n').replace('\n\n','\n')
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if input:
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return f"""Instruction: {instruction}
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Input: {input}
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Response:"""
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else:
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return f"""User: hi
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Assistant: Hi. I am your assistant and I will provide expert full response in full details. Please feel free to ask any question and I will always answer it.
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User: {instruction}
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Assistant:"""
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def evaluate(
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ctx,
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token_count=200,
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temperature=1.0,
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top_p=0.7,
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alpha_presence = presencePenalty,
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token_ban = [], # ban the generation of some tokens
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token_stop = [0]) # stop generation whenever you see any token here
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all_tokens = []
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out_last = 0
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out_str = ''
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yield out_str.strip()
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examples = [
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[generate_prompt("Tell me about ravens."), 500, 1, 0.5, 0.4, 0.4],
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[generate_prompt("Write a python function to mine 1 BTC."), 500, 1, 0.5, 0.4, 0.4],
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[generate_prompt("Write a song about ravens.", "", 500, 1, 0.5, 0.4, 0.4],
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[generate_prompt("Write a story using the following information", "A man named Alex chops a tree down", 500, 1, 0.5, 0.4, 0.4],
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[generate_prompt("Generate a list of adjectives that describe a person as brave."), 500, 1, 0.5, 0.4, 0.4],
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[generate_prompt("You have $100, and your goal is to turn that into as much money as possible with AI and Machine Learning. Please respond with detailed plan."), 500, 1, 0.5, 0.4, 0.4],
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]
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##########################################################################
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submit = gr.Button("Submit", variant="primary")
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clear = gr.Button("Clear", variant="secondary")
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output = gr.Textbox(label="Output", lines=5)
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data = gr.Dataset(components=[prompt, token_count, temperature, top_p, presence_penalty, count_penalty], samples=examples, label="Example Instructions", headers=["Prompt", "Max Tokens", "Temperature", "Top P", "Presence Penalty", "Count Penalty"])
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submit.click(evaluate, [prompt, token_count, temperature, top_p, presence_penalty, count_penalty], [output])
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clear.click(lambda: None, [], [output])
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data.click(lambda x: x, [data], [prompt, token_count, temperature, top_p, presence_penalty, count_penalty])
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demo.queue(concurrency_count=1, max_size=10)
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demo.launch(share=False)
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