Chatbot DialoGPT

app.py

@@ -7,16 +7,22 @@ mdl = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-medium")
 
 # chat_tkn = AutoTokenizer.from_pretrained("facebook/blenderbot-400M-distill")
 # mdl = BlenderbotForConditionalGeneration.from_pretrained("facebook/blenderbot-400M-distill")
+
 def converse(user_input, chat_history=[]):
     user_input_ids = chat_tkn(user_input + chat_tkn.eos_token, return_tensors='pt').input_ids
+
     # keep history in the tensor
     bot_input_ids = torch.cat([torch.LongTensor(chat_history), user_input_ids], dim=-1)
+
     # get response
     chat_history = mdl.generate(bot_input_ids, max_length=1000, pad_token_id=chat_tkn.eos_token_id).tolist()
     print(chat_history)
+
     response = chat_tkn.decode(chat_history[0]).split("<|endoftext|>")
+
     print("starting to print response")
     print(response)
+
     # html for display
     html = "<div class='mybot'>"
     for x, mesg in enumerate(response):
@@ -25,11 +31,13 @@ def converse(user_input, chat_history=[]):
             clazz = "alicia"
         else:
             clazz = "user"
-    print("value of x")
-    print(x)
-    print("message")
-    print(mesg)
-    html += "<div class='mesg {}'> {}</div>".format(clazz, mesg)
+
+        print("value of x")
+        print(x)
+        print("message")
+        print(mesg)
+
+        html += "<div class='mesg {}'> {}</div>".format(clazz, mesg)
     html += "</div>"
     print(html)
     return html, chat_history
@@ -45,4 +53,8 @@ css = """
 .footer {display:none !important}
 """
 text = grad.inputs.Textbox(placeholder="Lets chat")
-grad.Interface(fn=converse, theme="default", inputs=[text, "state"], outputs=["html", "state"], css=css).launch()
+grad.Interface(fn=converse,
+               theme="default",
+               inputs=[text, "state"],
+               outputs=["html", "state"],
+               css=css).launch()