Update app.py

app.py

@@ -10,22 +10,25 @@ bert_tokenizer = BertTokenizer.from_pretrained('BinaryTokenizer_ep5')    #path +
 bert_model = TFBertForSequenceClassification.from_pretrained('BinaryModel_ep5')
 
 
-def send_results_to_api(data, result_url):
-    headers = {"Content-Type":"application/json"}
-    response = requests.post(result_url, json=data, headers=headers)
+# def send_results_to_api(data, result_url):
+#     headers = {"Content-Type":"application/json"}
+#     response = requests.post(result_url, json=data, headers=headers)
     
-    if response.status_code == 200:
-        return response.json()
-    else:
-        return {"error": f"Failed to send results to API: {response.status_code}"}
+#     if response.status_code == 200:
+#         return response.json()
+#     else:
+#         return {"error": f"Failed to send results to API: {response.status_code}"}
 
 
 def predict_text(params):
-    params = json.loads(params)
-    
+    try:
+        params = json.loads(params)
+    except JSONDecodeError as e:
+        return {"error": f"Invalid JSON input: {e.msg} at line {e.lineno} column {e.colno}"}
+        
     texts = params.get("texts", [])
-    api = params.get("api", "")
-    job_id = params.get("job_id", "")
+    # api = params.get("api", "")
+    # job_id = params.get("job_id", "")
 
     solutions = []