Create app.py

app.py

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+import gradio as gr
+from huggingface_hub import InferenceClient
+
+# Initialize the Hugging Face Inference Client
+client = InferenceClient()
+
+# Function to stream the compliance suggestions as they are generated
+def analyze_compliance_stream(code, compliance_standard):
+    prompt = f"Analyze the following code for {compliance_standard} compliance and suggest modifications or refactoring to meet the guidelines:\n\n{code}"
+    
+    messages = [
+        {"role": "user", "content": prompt}
+    ]
+
+    # Create a stream to receive generated content
+    stream = client.chat.completions.create(
+        model="Qwen/Qwen2.5-Coder-32B-Instruct",
+        messages=messages,
+        temperature=0.5,
+        max_tokens=1024,
+        top_p=0.7,
+        stream=True
+    )
+
+    # Stream content as it is generated
+    compliance_suggestions = ""
+    for chunk in stream:
+        compliance_suggestions += chunk.choices[0].delta.content
+        yield compliance_suggestions  # Yield incremental content to display immediately
+
+# Create Gradio interface with the modified layout
+with gr.Blocks() as app:
+    gr.Markdown("## Code Compliance Advisor")
+    gr.Markdown("Analyze your code for legal compliance and security standards (e.g., GDPR, HIPAA) and receive actionable suggestions.")
+
+    with gr.Row():
+        # First column for input components
+        with gr.Column():
+            code_input = gr.Textbox(lines=10, label="Code Snippet", placeholder="Enter your code here", elem_id="full_width")
+            compliance_standard = gr.Dropdown(
+                choices=["GDPR", "HIPAA", "PCI-DSS", "SOC 2", "ISO 27001"],
+                label="Compliance Standard",
+                value="GDPR"
+            )
+            analyze_button = gr.Button("Analyze Compliance")
+
+        # Second column for output
+        with gr.Column():
+            gr.Markdown("### Compliance Suggestions")  # This acts as the label for the output
+            output_markdown = gr.Markdown()
+
+    # Link button to function with inputs and outputs
+    analyze_button.click(fn=analyze_compliance_stream, inputs=[code_input, compliance_standard], outputs=output_markdown)
+
+# Run the Gradio app
+app.launch()