Update app.py

app.py

@@ -1,54 +1,54 @@
-from flask import Flask, request, jsonify
-from model_handler import MODEL_HANDLER
-
-# INITIALIZING THE FLASK APP
-FLASK_APP = Flask(__name__)
-
-# --- API ENDPOINT DEFINITIONS ---
-
-@FLASK_APP.route("/", methods=["GET"])
-def health_Check():
-    # HEALTH CHECKING ENDPOINT TO CONFIRM THE API IS LIVE
-    return jsonify({
-        "status": "ok",
-        "message": "Semantic Similarity API is operational."
-    })
-
-@FLASK_APP.route("/predict", methods=["POST"])
-def predict_Handler():
-    """
-    HANDLES THE PREDICTION REQUEST.
-    """
-    # GETTING THE JSON PAYLOAD FROM THE REQUEST
-    input_Payload = request.get_json()
-
-    # VALIDATING THE INCOMING DATA
-    if not input_Payload:
-        return jsonify({"error": "BAD REQUEST: Missing JSON body."}), 400
-    
-    text1_Value = input_Payload.get("text1")
-    text2_Value = input_Payload.get("text2")
-
-    if not text1_Value or not text2_Value:
-        return jsonify({"error": "BAD REQUEST: 'text1' and 'text2' are required fields."}), 400
-
-    # PROCESSING THE REQUEST AND GET THE SCORE
-    try:
-        # USING THE MODEL HANDLER TO GET THE SIMILARITY SCORE
-        similarityScore = MODEL_HANDLER.calculate_Similarity(text1_Value, text2_Value)
-
-        # THE RESPONSE BODY 
-        response_Body = {
-            "similarity_score": similarityScore
-        }
-        
-        return jsonify(response_Body), 200
-
-    except Exception as e:
-        # CATCHING ANY UNEXPECTED ERRORS
-        print(f"INTERNAL ERROR: {e}")
-        return jsonify({"error": "An internal server error occurred."}), 500
-
-if __name__ == "__main__":
-    # THIS PART IS ONLY FOR LOCAL TESTING. GUNICORN WILL RUN THE APP ON HUGGING FACE
+from flask import Flask, request, jsonify
+from model_handler import MODEL_HANDLER
+
+# INITIALIZING THE FLASK APP
+FLASK_APP = Flask(__name__)
+
+# --- API ENDPOINT DEFINITIONS ---
+
+@FLASK_APP.route("/", methods=["GET"])
+def health_Check():
+    # HEALTH CHECKING ENDPOINT TO CONFIRM THE API IS LIVE
+    return jsonify({
+        "status": "ok",
+        "message": "Semantic Similarity API is operational."
+    })
+
+@FLASK_APP.route("/predict", methods=["POST"])
+def predict_Handler():
+    """
+    HANDLES THE PREDICTION REQUEST.
+    """
+    # GETTING THE JSON PAYLOAD FROM THE REQUEST
+    input_Payload = request.get_json()
+
+    # VALIDATING THE INCOMING DATA
+    if not input_Payload:
+        return jsonify({"error": "BAD REQUEST: Missing JSON body."}), 400
+    
+    text1_Value = input_Payload.get("text1")
+    text2_Value = input_Payload.get("text2")
+
+    if not text1_Value or not text2_Value:
+        return jsonify({"error": "BAD REQUEST: 'text1' and 'text2' are required fields."}), 400
+
+    # PROCESSING THE REQUEST AND GET THE SCORE
+    try:
+        # USING THE MODEL HANDLER TO GET THE SIMILARITY SCORE
+        similarityScore = MODEL_HANDLER.calculate_Similarity(text1_Value, text2_Value)
+
+        # THE RESPONSE BODY 
+        response_Body = {
+            "similarity score": similarityScore
+        }
+        
+        return jsonify(response_Body), 200
+
+    except Exception as e:
+        # CATCHING ANY UNEXPECTED ERRORS
+        print(f"INTERNAL ERROR: {e}")
+        return jsonify({"error": "An internal server error occurred."}), 500
+
+if __name__ == "__main__":
+    # THIS PART IS ONLY FOR LOCAL TESTING. GUNICORN WILL RUN THE APP ON HUGGING FACE
     FLASK_APP.run(host="0.0.0.0", port=8000, debug=True)