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import gradio as gr | |
import requests | |
import os | |
import json | |
ACCESS_TOKEN = os.getenv("HF_TOKEN") | |
def respond(message, max_tokens=512, temperature=0.7, top_p=0.95): | |
data = { | |
"model": "command-r-plus:104b-fp16", | |
"prompt": message, | |
"max_tokens": max_tokens, | |
"temperature": temperature, | |
"top_p": top_p | |
} | |
# API 요청 | |
response = requests.post("http://hugpu.ai:7877/api/generate", json=data) | |
try: | |
# 개별 JSON 객체들을 분리하여 처리 | |
responses = [] | |
for obj in response.text.strip().split('\n'): | |
# 각 줄을 JSON으로 파싱 | |
result = json.loads(obj) | |
if result.get("done", False): | |
break | |
responses.append(result.get('response', '')) | |
# 결과 텍스트를 조합 | |
generated_text = ''.join(responses) | |
except json.JSONDecodeError as e: | |
print("Failed to decode JSON from response:", e) | |
generated_text = "An error occurred while processing your request." | |
return generated_text | |
demo = gr.Interface( | |
fn=respond, | |
inputs=[ | |
gr.Textbox(label="Your Message", placeholder="Type your message here..."), | |
gr.Slider(minimum=1, maximum=2048, value=512, label="Max Tokens"), | |
gr.Slider(minimum=0.1, maximum=4.0, value=0.7, label="Temperature"), | |
gr.Slider(minimum=0.1, maximum=1.0, value=0.95, label="Top-P") | |
], | |
outputs=gr.Textbox(), | |
title="Advanced AI Chatbot", | |
description="Enter your message and receive a response generated by an advanced AI model.", | |
theme="Nymbo/Nymbo_Theme" | |
) | |
if __name__ == "__main__": | |
demo.launch() | |