File size: 673 Bytes
c190d4c
a3b4cc3
 
a69226c
c190d4c
08c37ef
95a4a96
dcfbd74
a3b4cc3
 
 
08c37ef
a3b4cc3
0674565
 
124f5cc
bdf52b7
bd5e0ba
0674565
 
bdf52b7
af253ef
0674565
 
 
a3b4cc3
59f0c1c
cfe3397
59f0c1c
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
import gradio as gr
from huggingface_hub import InferenceClient

client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")

def respond(message, history):
    
    messages = [{"role": "system", "content": "You are a friendly chatbot."}]
    
    if history:
        messages.extend(history)
        
    messages.append({"role": "user", "content": message})

    response = ""
    
    for message in client.chat_completion(
        messages,
        max_tokens=100,
        stream=True
    ):
        token = message['choices'][0]['delta']['content']

        response += token
        yield response

chatbot = gr.ChatInterface(respond, type="messages")

chatbot.launch()