Create app.py

app.py

@@ -0,0 +1,36 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import gradio as gr
+import torch
+
+title = 'ChatBot'
+description = 'This is a test model i created to learn how to create one haha'
+examples = [['What is life?']]
+
+tokenizer = AutoTokenizer.from_pretrained('microsoft/DialoGPT-large')
+model = AutoModelForCausalLM.from_pretrained('microsoft/DialoGPT-large')
+
+def predict(input, history=[]):
+    new_user_input_ids = tokenizer.encode(
+        input + tokenizer.eos_token, return_tensors='pt'
+    )
+    bot_input_ids = torch.cat([torch.LongTensor(history), new_user_input_ids], dim=-1)
+
+    history = model.generate(
+        bot_input_ids, max_length=4000, pad_token_id=tokenizer.eos_token_id
+    ).tolist()
+
+    response = tokenizer.decode(history[0]).split('<|endoftext|>')
+
+    response = [
+        (response[i], response[i+1]) for i in range(0, len(response) - 1, 2)
+    ]
+    return response, history
+
+gr.Interface(
+    fn=predict,
+    title=title,
+    description=description,
+    examples=examples,
+    inputs=['text', 'state'],
+    outputs=['chatbot', 'state'],
+).launch()