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Update app.py
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app.py
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@@ -2,10 +2,10 @@ import gradio as gr
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from huggingface_hub import InferenceClient
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# Initialize the Hugging Face Inference Client
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client = InferenceClient()
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# Function to
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def
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prompt = f"Analyze the following code for {compliance_standard} compliance and suggest modifications or refactoring to meet the guidelines:\n\n{code}"
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messages = [
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@@ -22,29 +22,35 @@ def analyze_compliance(code, compliance_standard):
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stream=True
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)
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#
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compliance_suggestions = ""
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for chunk in stream:
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compliance_suggestions += chunk.choices[0].delta.content
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# Create Gradio interface
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with gr.Blocks() as app:
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gr.Markdown("##
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gr.Markdown("Analyze your code for legal compliance standards (e.g., GDPR, HIPAA) and receive
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analyze_button = gr.Button("Analyze Compliance")
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# Run the Gradio app
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app.launch()
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from huggingface_hub import InferenceClient
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# Initialize the Hugging Face Inference Client
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client = InferenceClient(api_key="YOUR_HF_TOKEN")
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# Function to stream the compliance suggestions as they are generated
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def analyze_compliance_stream(code, compliance_standard):
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prompt = f"Analyze the following code for {compliance_standard} compliance and suggest modifications or refactoring to meet the guidelines:\n\n{code}"
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messages = [
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stream=True
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)
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# Stream content as it is generated
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compliance_suggestions = ""
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for chunk in stream:
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compliance_suggestions += chunk.choices[0].delta.content
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yield compliance_suggestions # Yield incremental content to display immediately
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# Create Gradio interface with the modified layout
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with gr.Blocks() as app:
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gr.Markdown("## Code Compliance Advisor")
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gr.Markdown("Analyze your code for legal compliance and security standards (e.g., GDPR, HIPAA) and receive actionable suggestions.")
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# Full-width text area for code input
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code_input = gr.Textbox(lines=10, label="Code Snippet", placeholder="Enter your code here", elem_id="full_width")
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# Dropdown for selecting compliance standard
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compliance_standard = gr.Dropdown(
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choices=["GDPR", "HIPAA", "PCI-DSS", "SOC 2", "ISO 27001"],
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label="Compliance Standard",
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value="GDPR"
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)
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# Button to trigger analysis
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analyze_button = gr.Button("Analyze Compliance")
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# Result display in Markdown to HTML
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output_html = gr.HTML(label="Compliance Suggestions")
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# Link button to function with inputs and outputs
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analyze_button.click(fn=analyze_compliance_stream, inputs=[code_input, compliance_standard], outputs=output_html, every=0.1)
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# Run the Gradio app
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app.launch()
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