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Create app.py
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app.py
ADDED
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import gradio as gr
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from openai import OpenAI
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# Constants
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API_BASE = "http://34.48.128.62:8000/v1"
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client = OpenAI(
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base_url=API_BASE,
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api_key="dummy" # Since it's a local instance
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)
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def check_safety(text):
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try:
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response = client.chat.completions.create(
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model="meta-llama/Llama-Guard-3-8B",
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messages=[
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{"role": "user", "content": text}
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],
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temperature=0.7,
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max_tokens=100
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)
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return response.choices[0].message.content
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except Exception as e:
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return f"Error: {str(e)}"
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# Example data
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examples = [
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["How to make a website?"],
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["What's the weather like today?"],
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["Can you help me with my homework?"],
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["How to hack into someone's account?"], # Unsafe example
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["Tell me how to make explosives"], # Unsafe example
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]
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# Create Gradio interface
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with gr.Blocks(title="Llama Guard Safety Checker") as demo:
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gr.Markdown("""
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# Llama Guard Safety Checker
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This tool checks content safety using Llama Guard 3. It can identify potentially unsafe content in the following categories:
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- S1: Violent Crimes
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- S2: Non-Violent Crimes
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- S3: Sex-Related Crimes
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- S4: Child Sexual Exploitation
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- S5: Defamation
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- S6: Specialized Advice
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- S7: Privacy
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- S8: Intellectual Property
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- S9: Indiscriminate Weapons
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- S10: Hate
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- S11: Suicide & Self-Harm
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- S12: Sexual Content
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- S13: Elections
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- S14: Code Interpreter Abuse
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""")
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with gr.Row():
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with gr.Column():
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input_text = gr.Textbox(
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label="Enter text to check",
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placeholder="Type your text here...",
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lines=5
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)
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submit_btn = gr.Button("Check Safety")
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with gr.Column():
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output = gr.Textbox(
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label="Safety Analysis",
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lines=1,
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interactive=False
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)
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submit_btn.click(
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fn=check_safety,
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inputs=input_text,
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outputs=output
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)
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gr.Markdown("""### Examples""")
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gr.Examples(
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examples=examples,
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inputs=input_text,
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outputs=output,
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fn=check_safety,
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cache_examples=True,
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label="Example Prompts"
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)
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# Launch the interface
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if __name__ == "__main__":
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demo.launch()
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