app.py

import random
import gradio as gr
import requests

API_URL = "/static-proxy?url=https%3A%2F%2Fapi-inference.huggingface.co%2Fmodels%2Ffacebook%2Fblenderbot-3B%26quot%3B%3C%2Fspan%3E%3C!-- HTML_TAG_END -->
headers = {"Authorization": "Bearer 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"}

def query(payload):
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.json()
    
#output = query({
#"inputs": {
  #"past_user_inputs": ["Which movie is the best ?"],
# "generated_responses": ["It's Die Hard for sure."],
# "text": "Can you explain why ?"
#},
#})
def chat(message, history):
    past_user=["what is your name?"]
    generated=["I am Sade, Funbi's AI chatbot"]
    history = history or []
    message = message.lower()
    if message.startswith("what is your name"):
        response = random.choice(["I am Sade an AI chatbot made by Funbi,how are you?","Sade, an AI chatbot made by Funbi, feel free to ask me anything"])
    elif "your name" in message:
        response = random.choice(["I am Sade an AI chatbot made by Funbi,how are you?","Sade, an AI chatbot made by Funbi, feel free to ask me anything"])
    elif "who are you" in message:
        response = random.choice(["I am Sade an AI chatbot made by Funbi,how are you?","Sade, an AI chatbot made by Funbi, feel free to ask me anything"])
    else:
        response = query({"inputs": {"past_user_inputs":past_user,"generated_responses":generated,"text":message},})
        response = response['generated_text']
    past_user.append(message)
    generated.append(response)
    history.append((message, response))
    return history, history

chatbot = gr.Chatbot().style(color_map=("green", "pink"))
demo = gr.Interface(
    chat,
    ["text", "state"],
    [chatbot, "state"],
    allow_flagging="never",title="Chatbot",
    description="This is chatbot made by using a pre-train model by Facebook called blender and I then primed it with a little extra information",

)
demo.launch()