Update app.py

app.py

@@ -1,3 +1,31 @@
 import gradio as gr
+from transformers import pipeline
 
-gr.load("models/knowledgator/comprehend_it-base").launch()
+# Load the model
+model_name = "knowledgator/comprehend_it-base"
+classifier = pipeline("zero-shot-classification", model=model_name, device=0)
+
+# Function to classify feedback
+def classify_feedback(feedback_text):
+    # Classify feedback using the loaded model
+    labels = ["Value", "Facilities", "Experience", "Functionality", "Quality"]
+    result = classifier(feedback_text, labels, multi_label=True)
+    
+    # Get the top two labels associated with the feedback
+    top_labels = [label for label, _ in result["labels"][:2]]
+    scores = [score for _, score in result["scores"][:2]]
+    
+    return {top_labels[i]: scores[i] for i in range(len(top_labels))}
+
+# Create Gradio interface
+feedback_textbox = gr.inputs.Textbox(lines=5, label="Enter your feedback:")
+feedback_output = gr.outputs.Textbox(label="Top 2 Labels with Scores:")
+
+gr.Interface(
+    fn=classify_feedback,
+    inputs=feedback_textbox,
+    outputs=feedback_output,
+    title="Feedback Classifier",
+    description="Enter your feedback and get the top 2 associated labels with scores.",
+    capture_session=True
+).launch()