Create app.py

app.py

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+from transformers import pipeline
+from gradio import Interface
+
+# Load a simple text classification model
+classifier = pipeline("text-classification", model="nlptown/bert-base-multilingual-uncased-sentiment")
+
+def match_profile(resume_text, linkedin_text):
+    input_text = resume_text + " " + linkedin_text
+    result = classifier(input_text)
+    score = result[0]['score'] * 100
+    return f"Suitability Score: {score:.2f}"
+
+iface = Interface(fn=match_profile,
+                  inputs=["text", "text"],
+                  outputs="text",
+                  title="LIC Profile Matcher")
+
+iface.launch()