Spaces:
Sleeping
Sleeping
File size: 2,702 Bytes
7d0525e | 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 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | import gradio as gr
import requests
import json
import os # Para acceder a variables de entorno
# Cargar clave API desde Secret configurado en Hugging Face Spaces
API_KEY = os.getenv("SAMBANOVA_API_KEY")
API_URL = "https://api.sambanova.ai/v1/chat/completions"
headers = {
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
}
def query_deepseek_stream(user_message, chat_history):
messages = [{"role": "system", "content": "You are a helpful assistant"}]
for user_msg, ai_msg in chat_history:
messages.append({"role": "user", "content": user_msg})
messages.append({"role": "assistant", "content": ai_msg})
messages.append({"role": "user", "content": user_message})
json_data = {
"model": "DeepSeek-V3.1",
"messages": messages,
"stream": True,
}
try:
response = requests.post(API_URL, headers=headers, json=json_data, stream=True)
response.raise_for_status()
collected_text = ""
updated_history = chat_history.copy()
updated_history.append((user_message, ""))
for line in response.iter_lines(decode_unicode=True):
if line:
if line.startswith("data: "):
json_str = line[len("data: "):]
if json_str == "[DONE]":
break
try:
data = json.loads(json_str)
delta = data.get("choices", [{}])[0].get("delta", {})
text_fragment = delta.get("content", "")
collected_text += text_fragment
if updated_history:
updated_history[-1] = (updated_history[-1][0], collected_text)
yield updated_history, updated_history
except json.JSONDecodeError:
continue
except requests.exceptions.RequestException as err:
error_msg = f"Error: {err}"
updated_history = chat_history.copy()
if not updated_history or updated_history[-1][0] != user_message:
updated_history.append((user_message, error_msg))
else:
updated_history[-1] = (updated_history[-1][0], error_msg)
yield updated_history, updated_history
with gr.Blocks() as demo:
chat_history = gr.State([])
chatbot = gr.Chatbot()
msg = gr.Textbox(label="Escribe tu mensaje")
btn = gr.Button("Enviar")
btn.click(query_deepseek_stream, inputs=[msg, chat_history], outputs=[chatbot, chat_history])
msg.submit(query_deepseek_stream, inputs=[msg, chat_history], outputs=[chatbot, chat_history])
demo.launch()
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