update readme and mlm error fix

app.py

@@ -216,10 +216,10 @@ def zs_mlm_task_selected(task,
     # tokenizer_zs_mlm=AutoTokenizer.from_pretrained(zs_mlm_chkpt)
     tokenizer_zs_mlm = AutoTokenizer.from_pretrained(zs_mlm_mdl_dir)
 
-    # create onnx model for zeroshot but once created locally comment it out.
-    create_onnx_model_zs_mlm(_model=model_zs_mlm,
-                             _tokenizer=tokenizer_zs_mlm,
-                             zs_mlm_onnx_mdl_dir=zs_mlm_onnx_mdl_dir)
+    # # create onnx model for zeroshot but once created locally comment it out.
+    # create_onnx_model_zs_mlm(_model=model_zs_mlm,
+    #                          _tokenizer=tokenizer_zs_mlm,
+    #                          zs_mlm_onnx_mdl_dir=zs_mlm_onnx_mdl_dir)
 
     # create inference session from onnx model
     zs_session_mlm = ort.InferenceSession(f"{zs_mlm_onnx_mdl_dir}/{zs_mlm_onnx_mdl_name}", sess_options=session_options_ort)
@@ -235,11 +235,12 @@ if select_task=='README':
     st.write(f"The current App deployed in Huggingface Space has {total_threads} CPU cores but only 1 is available per user so "
              f"inference time will be on the higher side.")
     st.markdown("---")
-    st.subheader("Info on Zeroshot Classification")
+    st.subheader("Info on Zeroshot Text Classification")
     st.write("* It has been implemented using 2 novel approaches")
     st.write("1. Using Natural Language Inference")
-    st.write("2. Using Masked language Model from BERT")
-    st.write("* https://paperswithcode.com/paper/zero-shot-text-classification-with-generative")
+    st.write("2. Using Masked language Model")
+    st.write("Relevant Paper - https://paperswithcode.com/paper/zero-shot-text-classification-with-generative")
+    st.markdown()
 
 if select_task == 'Detect Sentiment':
     t1=time.time()