Update app.py

app.py

@@ -100,7 +100,7 @@ ld_t, ld_m = AutoTokenizer.from_pretrained("papluca/xlm-roberta-base-language-de
 @app.route('/analyzeText/api/v1/sentiment', methods=['GET', 'POST'])
 def sentimentAnalys():
     try:
-        text = request.form.get('text') or request.args.get('text') or ""
+        text = request.form.get('text') or request.args.get('text') or request.values.get('text') or ""
         if text == "": return {"status": "error", "details": { "error_code": 101, "error_details": "No text provided" }}
         
         inputs = sa_t(text, return_tensors="pt")
@@ -117,7 +117,7 @@ def sentimentAnalys():
 @app.route('/analyzeText/api/v1/detectLang', methods=['GET', 'POST'])
 def langDetect():
     try:
-        text = request.form.get('text') or request.args.get('text') or ""
+        text = request.form.get('text') or request.args.get('text') or request.values.get('text') or ""
         if text == "": return {"status": "error", "details": { "error_code": 101, "error_details": "No text provided" }}
             
         inputs = ld_t(text, return_tensors="pt")