Update app.py

app.py

@@ -1,7 +1,42 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
 import gradio as gr
+import torch
 
-def greet(name):
-    return "Hello " + name + "!!"
+title = "Custom AI ChatBot"
+description = "A State-of-the-Art Large-scale Pretrained Response generation model (DialoGPT)"
+examples = [["How are you?"]]
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+tokenizer = AutoTokenizer.from_pretrained("william4416/bewtestingone")
+model = AutoModelForCausalLM.from_pretrained("william4416/bewtestingone")
+
+def predict(input, history=[]):
+    # 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.LongTensor(history), new_user_input_ids], dim=-1)
+
+    # generate a response
+    history = model.generate(
+        bot_input_ids, max_length=4000, pad_token_id=tokenizer.eos_token_id
+    ).tolist()
+
+    # convert the tokens to text
+    response = tokenizer.decode(history[0])
+    return response, history
+
+def main():
+    gr.Interface(
+        fn=predict,
+        title=title,
+        description=description,
+        examples=examples,
+        inputs=["text", "state"],
+        outputs=["text", "state"],
+        theme="finlaymacklon/boxy_violet",
+    ).launch()
+
+if __name__ == "__main__":
+    main()