Create app.py

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+import torch
+from transformers import pipeline
+
+generator = pipeline('text-generation', model='EleutherAI/gpt-neo-2.7B')
+
+def get_msg(prompt):
+    res = generator(prompt, max_length=50, do_sample=True, temperature=0.9)
+    message = res[0]['generated_text']
+    return message.strip()
+
+def chatbot(input, history=[]):
+    output = get_msg(input)
+    history.append((input, output))
+    return history, history
+
+gr.Interface(fn = chatbot,
+             inputs = ["text",'state'],
+             outputs = ["chatbot",'state']).queue(concurrency_count=1,max_size=1).launch()