update app.py

app.py

@@ -106,24 +106,24 @@ def find_orgs(uploaded_file):
         uploaded_data = json.loads(uploaded_file)
     
     
-    all_metrics = {}
-    all_metrics['trf'] = get_metrics_trf(uploaded_data)
+    # all_metrics = {}
+    # all_metrics['trf'] = get_metrics_trf(uploaded_data)
     
-    store_sample_data(uploaded_data)
-    with open('./data/sample_data.json', 'r') as f:
-        sample_data = json.load(f)
+    # store_sample_data(uploaded_data)
+    # with open('./data/sample_data.json', 'r') as f:
+    #     sample_data = json.load(f)
     
-    gpt_orgs, true_orgs = [], []
+#     gpt_orgs, true_orgs = [], []
     
-    for sent in sample_data:
-        gpt_orgs.append(find_orgs_gpt(sent['text']))
-        true_orgs.append(sent['orgs'])
+#     for sent in sample_data:
+#         gpt_orgs.append(find_orgs_gpt(sent['text']))
+#         true_orgs.append(sent['orgs'])
         
 
     # sim_model = SimCSE('sentence-transformers/all-MiniLM-L6-v2')
     # all_metrics['gpt'] = calc_metrics(true_orgs, gpt_orgs, sim_model)        
 
-    return 
+    return get_metrics_trf(uploaded_data)
 # radio_btn = gr.Radio(choices=['GPT', 'iSemantics'], value='iSemantics', label='Available models', show_label=True)
 # textbox = gr.Textbox(label="Enter your text", placeholder=str(all_metrics), lines=8)
 upload_btn = gr.UploadButton(label='Upload a json file.', type='binary')