Update src/backend/run_eval_suite.py

src/backend/run_eval_suite.py

@@ -74,20 +74,29 @@ def run_evaluation(eval_request: EvalRequest, task_names, num_fewshot, batch_siz
         )
     task_names = ["medmcqa", "medqa_4options", "mmlu_anatomy", "mmlu_clinical_knowledge", "mmlu_college_biology", "mmlu_college_medicine", "mmlu_medical_genetics", "mmlu_professional_medicine", "pubmedqa"]
 
+  
     print(f"Selected Tasks: {task_names}")
 
     url = os.environ.get("URL")
 
-    headers = {
-    'bypass-tunnel-reminder': 'anyvalue'
-    }
-    
     data = {"args": f"pretrained={eval_request.model}"}
     print("datasending", data)
-    response = requests.post(url, json=data, headers=headers)
+    response = requests.post(url, json=data)
     print("response, response", response)
     results_full = {'results': {}, 'config': {}}
 
+    # url = os.environ.get("URL")
+
+    # headers = {
+    # 'bypass-tunnel-reminder': 'anyvalue'
+    # }
+    
+    # data = {"args": f"pretrained={eval_request.model}"}
+    # print("datasending", data)
+    # response = requests.post(url, json=data, headers=headers)
+    # print("response, response", response)
+    # results_full = {'results': {}, 'config': {}}
+
     results_full['results'] = response.json()['result']['results']
     results_full["config"]["model_dtype"] = eval_request.precision
     results_full["config"]["model_name"] = eval_request.model