AFM-4.5B / app.py
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test
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import gradio as gr
import requests
import json
import os
"""
Using Together AI API for chat completions
"""
TOGETHER_API_KEY = os.getenv("TOGETHER_API_KEY")
if not TOGETHER_API_KEY:
raise ValueError("TOGETHER_API_KEY environment variable is not set")
TOGETHER_API_URL = "https://api.together.xyz/v1/chat/completions"
def respond(
message,
history: list[tuple[str, str]],
system_message,
max_tokens,
temperature,
top_p,
):
messages = [{"role": "system", "content": system_message}]
for val in history:
if val[0]:
messages.append({"role": "user", "content": val[0]})
if val[1]:
messages.append({"role": "assistant", "content": val[1]})
messages.append({"role": "user", "content": message})
headers = {
"Authorization": f"Bearer {TOGETHER_API_KEY}",
"Content-Type": "application/json"
}
data = {
"model": "arcee-ai/AFM-4.5B",
"messages": messages,
"max_tokens": max_tokens,
"temperature": temperature,
"top_p": top_p,
"stream": True
}
response = ""
try:
with requests.post(TOGETHER_API_URL, headers=headers, json=data, stream=True) as r:
r.raise_for_status()
for line in r.iter_lines():
if line:
line = line.decode('utf-8')
if line.startswith('data: '):
line = line[6:] # Remove 'data: ' prefix
if line.strip() == '[DONE]':
break
try:
chunk = json.loads(line)
if 'choices' in chunk and len(chunk['choices']) > 0:
delta = chunk['choices'][0].get('delta', {})
if 'content' in delta:
token = delta['content']
response += token
yield response
except json.JSONDecodeError:
continue
except requests.exceptions.RequestException as e:
yield f"Error: {str(e)}"
"""
For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
"""
demo = gr.ChatInterface(
respond,
additional_inputs=[
gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
gr.Slider(
minimum=0.1,
maximum=1.0,
value=0.95,
step=0.05,
label="Top-p (nucleus sampling)",
),
],
)
if __name__ == "__main__":
demo.launch()