File size: 1,150 Bytes
bed5ef9 | 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 30 31 32 33 34 35 36 37 38 39 40 | import gradio as gr
import requests
def chatbot_qwen(prompt,history):
url = "https://qwen-3.p.rapidapi.com/chat/completions"
payload = {
"model": "qwen3-14b",
"messages": [
{
"role": "user",
"content": prompt
}
]
}
headers = {
"x-rapidapi-key": "3d66bcf268mshb7e2600a51aa227p1c07cajsn59f71d743737",
"x-rapidapi-host": "qwen-3.p.rapidapi.com",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
output = response.json()
return output['choices'][0]['message']['content']
def vote(data: gr.LikeData):
if data.liked:
print("You upvoted this response: " + data.value["value"])
else:
print("You downvoted this response: " + data.value["value"])
with gr.Blocks() as demo:
chatbot = gr.Chatbot(placeholder="<strong>Qwen Chatbot</strong><br>Ask Me Anything")
chatbot.like(vote, None, None)
gr.ChatInterface(fn=chatbot_qwen,chatbot=chatbot)
demo.launch() |