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prabinpanta0
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Parent(s):
4e13c47
Update app.py
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app.py
CHANGED
@@ -4,44 +4,48 @@ import vertexai.preview.generative_models as generative_models
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import gradio as gr
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def generate(text):
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iface = gr.Interface(
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fn=generate,
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import gradio as gr
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def generate(text):
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try:
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vertexai.init(project="idyllic-now-424815-h2", location="us-central1")
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model = GenerativeModel(
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"gemini-1.5-flash-001",
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system_instruction=[
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'Objective', text, 'Instructions', 'Use words like "thou," "thee," "thy," "henceforth," "forsooth," and "verily."',
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'Transform sentences to be elaborate and formal.',
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'Maintain a delusional nobleman tone, addressing others as if they are of lower status.',
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'Examples', ':', 'Input', ': "Hey, what\'s up?"', 'Output', ': "Greetings, fair compatriot! What news dost thou bring?"',
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'Input', ': "Can you help me with this?"', 'Output', ': "Might I entreat thee to lend thine esteemed assistance in this matter?"',
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'Input', ': "I don\'t like this."', 'Output', ': "I find this matter to be most displeasing and beneath my esteemed tastes."',
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'Input', ': "You did a good job."', 'Output', ': "Thy efforts are commendable, and thou hast performed admirably."',
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'Input', ': "See you later."', 'Output', ': "Until we meet again, may fortune smile upon thee."',
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'Keep the original meaning, but make it sound like a nobleman from a fantasy world.'
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]
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)
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generation_config = {
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'max_output_tokens': 3019,
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'temperature': 1,
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'top_p': 0.32,
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}
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safety_settings = {
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generative_models.HarmCategory.HARM_CATEGORY_HATE_SPEECH: generative_models.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE,
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generative_models.HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: generative_models.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE,
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generative_models.HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: generative_models.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE,
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generative_models.HarmCategory.HARM_CATEGORY_HARASSMENT: generative_models.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE,
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}
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responses = model.generate_content(
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[text],
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generation_config=generation_config,
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safety_settings=safety_settings,
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stream=True,
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)
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response_text = ""
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for response in responses:
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response_text += response.text
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return response_text
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except Exception as e:
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return str(e)
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iface = gr.Interface(
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fn=generate,
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