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from transformers import pipeline | |
import gradio as gr | |
from fastapi import FastAPI | |
from gradio_client import Client | |
from typing import Union | |
import uvicorn | |
app = FastAPI() | |
chatbot = pipeline(model="Kaludi/Customer-Support-Assistant-V2") | |
def DS_chatbot(message,history): | |
conversation = chatbot(message) | |
return conversation[0]['generated_text'] | |
io = gr.ChatInterface(DS_chatbot, title=" Customer Service Bot", description="Enter your query.") | |
async def read_main(): | |
return {"message": "Append /gradio to the url to see gradio the interface" | |
,"message2": "Append /hello/{any_name} to get a greeting"} | |
async def read_name(name: Union[str, None] = None): | |
return { "Hey!": name} | |
# Mount the Gradio app onto the FastAPI app | |
app = gr.mount_gradio_app(app, io, path='/gradio') | |
if __name__ == "__main__": | |
uvicorn.run(app, host="0.0.0.0", port=7860) | |