Spaces:
Sleeping
Sleeping
Create app.py
Browse files
app.py
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import gradio as gr
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import requests
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import json
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import os # Para acceder a variables de entorno
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# Cargar clave API desde Secret configurado en Hugging Face Spaces
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API_KEY = os.getenv("SAMBANOVA_API_KEY")
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API_URL = "https://api.sambanova.ai/v1/chat/completions"
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headers = {
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"Authorization": f"Bearer {API_KEY}",
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"Content-Type": "application/json",
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}
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def query_deepseek_stream(user_message, chat_history):
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messages = [{"role": "system", "content": "You are a helpful assistant"}]
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for user_msg, ai_msg in chat_history:
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messages.append({"role": "user", "content": user_msg})
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messages.append({"role": "assistant", "content": ai_msg})
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messages.append({"role": "user", "content": user_message})
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json_data = {
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"model": "DeepSeek-V3.1",
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"messages": messages,
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"stream": True,
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}
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try:
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response = requests.post(API_URL, headers=headers, json=json_data, stream=True)
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response.raise_for_status()
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collected_text = ""
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updated_history = chat_history.copy()
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updated_history.append((user_message, ""))
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for line in response.iter_lines(decode_unicode=True):
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if line:
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if line.startswith("data: "):
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json_str = line[len("data: "):]
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if json_str == "[DONE]":
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break
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try:
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data = json.loads(json_str)
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delta = data.get("choices", [{}])[0].get("delta", {})
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text_fragment = delta.get("content", "")
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collected_text += text_fragment
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if updated_history:
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updated_history[-1] = (updated_history[-1][0], collected_text)
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yield updated_history, updated_history
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except json.JSONDecodeError:
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continue
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except requests.exceptions.RequestException as err:
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error_msg = f"Error: {err}"
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updated_history = chat_history.copy()
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if not updated_history or updated_history[-1][0] != user_message:
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updated_history.append((user_message, error_msg))
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else:
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updated_history[-1] = (updated_history[-1][0], error_msg)
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yield updated_history, updated_history
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with gr.Blocks() as demo:
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chat_history = gr.State([])
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chatbot = gr.Chatbot()
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msg = gr.Textbox(label="Escribe tu mensaje")
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btn = gr.Button("Enviar")
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btn.click(query_deepseek_stream, inputs=[msg, chat_history], outputs=[chatbot, chat_history])
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msg.submit(query_deepseek_stream, inputs=[msg, chat_history], outputs=[chatbot, chat_history])
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demo.launch()
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