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import gradio as gr
from transformers import Conversation, pipeline
from typing import Union
chatbot = pipeline("conversational", model="facebook/blenderbot-400M-distill")
def process(prompt:Union[str,None]=None,history:Union[str,None]=None):
"""" process prompt
history has the following format
```
****user \t hello
****assistant \t hi
****user \t how are you
****assistant \t good
"""
conv = Conversation()
if history != None :
for hist in history.split("****") :
if len(hist.strip()) == 0 : continue
entry = hist.split("\t")
conv.add_message({"role": entry[0].strip(), "content": entry[1].strip()})
if prompt is not None or prompt != "":
conv.add_message({"role": "user", "content": prompt})
return chatbot(conv).messages[-1]["content"]
prompt = gr.Textbox(label="Prompt")
history = gr.Textbox(label="History")
out = gr.Textbox(label="Response")
examples = [
["",""" ****user \t hello \n ***assistant \t hi \n ****user \t how are you"""],
["what's 2+10",""" ****user \t hi \n ***assistant \t hello \n"""]
]
iface = gr.Interface(fn=process,inputs=[prompt,history],outputs=[out],examples=examples,cache_examples=True)
iface.launch()
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