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from transformers import AutoModelForCausalLM, AutoTokenizer | |
import torch | |
import gradio as gr | |
def chat(message, history): | |
history = history or [('hi', 'hello'), ('what ya doing', 'nothing')] | |
if message.startswith("How many"): | |
response = random.randint(1, 10) | |
elif message.startswith("How"): | |
response = random.choice(["Great", "Good", "Okay", "Bad"]) | |
elif message.startswith("Where"): | |
response = random.choice(["Here", "There", "Somewhere"]) | |
else: | |
response = "I don't know" | |
history.append((message, response)) | |
return history, history | |
chatbot = gr.Chatbot(color_map=("green", "gray")) | |
demo = gr.Interface( | |
chat, | |
["text", "state"], | |
[chatbot, "text"], | |
allow_flagging="never", | |
) | |
demo.launch() |