Added minum files for the app.

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load your model from Hugging Face
+model_name = "CIRCL/vulnerability-severity-classification-roberta-base"
+classifier = pipeline("text-classification", model=model_name, return_all_scores=True)
+
+# Define severity labels
+severity_labels = ["Low", "Medium", "High", "Critical"]
+
+def classify_text(text):
+    results = classifier(text)[0]  # Extract the first (and only) result
+    scores = {severity_labels[i]: round(r["score"], 4) for i, r in enumerate(results)}
+    return scores
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=classify_text,
+    inputs=gr.Textbox(lines=5, placeholder="Enter vulnerability description..."),
+    outputs=gr.Label(num_top_classes=4),  # Display all scores
+    title="Vulnerability Severity Classification",
+    description="Enter a vulnerability description, and the model will classify its severity level."
+)
+
+# Launch the app
+interface.launch()
+

requirements.txt

@@ -0,0 +1,2 @@
+transformers
+torch