Create app.py

app.py

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+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+import torch
+
+# Load model
+model_name = "shashu2325/resume-job-matcher-lora"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+
+def match_resume(resume_text, job_text):
+    inputs = tokenizer(resume_text, job_text, return_tensors="pt", truncation=True)
+    with torch.no_grad():
+        outputs = model(**inputs)
+        score = torch.nn.functional.softmax(outputs.logits, dim=1)[0][1].item()
+    return f"Match Score: {score*100:.2f}%"
+
+demo = gr.Interface(
+    fn=match_resume,
+    inputs=[
+        gr.Textbox(label="Resume Text", lines=15),
+        gr.Textbox(label="Job Description", lines=15),
+    ],
+    outputs="text",
+    title="Resume-Job Matcher",
+    description="Paste a resume and a job description to get a match score."
+)
+
+demo.launch()