Update app.py

app.py

@@ -2,46 +2,37 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 import gradio as gr
 import torch
 
-
-title = "????AI ChatBot"
+title = "AI ChatBot"
 description = "A State-of-the-Art Large-scale Pretrained Response generation model (DialoGPT)"
 examples = [["How are you?"]]
 
-
 tokenizer = AutoTokenizer.from_pretrained("betajuned/GPT-2_Kombinasi4")
 model = AutoModelForCausalLM.from_pretrained("betajuned/GPT-2_Kombinasi4")
 
-
 def predict(input, history=[]):
-    # tokenize the new input sentence
-    new_user_input_ids = tokenizer.encode(
-        input + tokenizer.eos_token, return_tensors="pt"
-    )
+    # Tokenize the new input sentence
+    new_user_input_ids = tokenizer.encode(input + tokenizer.eos_token, return_tensors="pt")
+
+    # Append the new user input tokens to the chat history
+    bot_input_ids = torch.cat([torch.tensor(history), new_user_input_ids], dim=-1) if history else new_user_input_ids
 
-    # append the new user input tokens to the chat history
-    bot_input_ids = torch.cat([chat_history_ids, new_user_input_ids], dim=-1) if step > 0 else new_user_input_ids
+    # Generate a response
+    chat_history_ids = model.generate(bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id)
 
-    # generate a response
-    history = model.generate(
-        bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id
-    ).tolist()
+    # Convert the tokens to text
+    response = tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)
 
-    # convert the tokens to text, and then split the responses into lines
-    response = tokenizer.decode(history[0]).split("<|endoftext|>")
-    # print('decoded_response-->>'+str(response))
-    response = [
-        (response[i], response[i + 1]) for i in range(5, len(response) - 1, 2)
-    ]  # convert to tuples of list
-    # print('response-->>'+str(response))
-    return response, history
+    # Update the history with the new tokens
+    new_history = chat_history_ids.tolist()
 
+    return response, new_history
 
 gr.Interface(
     fn=predict,
     title=title,
     description=description,
     examples=examples,
-    inputs=["text", "state"],
-    outputs=["chatbot", "state"],
+    inputs=[gr.inputs.Textbox(lines=2, placeholder="Enter your message here..."), "state"],
+    outputs=["text", "state"],
     theme="finlaymacklon/boxy_violet",
-).launch()
+).launch()