artificialguybr
commited on
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ddc101d
1
Parent(s):
61c1d8a
Create app.py
Browse files
app.py
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import gradio as gr
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import requests
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import os
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import json
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api_key = os.getenv('API_KEY')
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def call_llama_guard_api(content, assistant_response):
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invoke_url = "https://api.nvcf.nvidia.com/v2/nvcf/pexec/functions/b34280ac-24e4-4081-bfaa-501e9ee16b6f"
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headers = {
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"Authorization": f"Bearer {api_key}",
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"Accept": "application/json",
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}
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payload = {
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"messages": [
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{"content": content, "role": "user"},
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{"content": assistant_response, "role": "assistant"}
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]
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}
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session = requests.Session()
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response = session.post(invoke_url, headers=headers, json=payload)
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while response.status_code == 202:
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request_id = response.headers.get("NVCF-REQID")
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fetch_url = f"https://api.nvcf.nvidia.com/v2/nvcf/pexec/status/{request_id}"
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response = session.get(fetch_url, headers=headers)
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response.raise_for_status()
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response_body = response.json()
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print(response_body)
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return response_body
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content_input = gr.Textbox(lines=2, placeholder="Enter your content here...", label="User Content")
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assistant_response_input = gr.Textbox(lines=2, placeholder="Enter assistant's response here...", label="Assistant Response")
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iface = gr.Interface(fn=call_llama_guard_api,
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inputs=[content_input, assistant_response_input],
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outputs="text",
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title="Llama Guard Safety Classifier",
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description="Classify the safety of LLM prompts and responses using Llama Guard"
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)
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iface.launch()
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