Update app.py

app.py

@@ -1,43 +1,31 @@
 import gradio as gr
-from transformers import pipeline
 
-# Подгружаем модель с использованием transformers
-model_name = "Mixtral-8x7B-Instruct-v0.1"
-generator = pipeline('text-generation', model=model_name, tokenizer=model_name)
-
-def generate(message, chat_history, model, system_prompt):
-    """Generates a response using the model."""
-    # Объединяем системный промпт и сообщение пользователя для контекста
-    prompt = system_prompt + "\n" + message
-    
-    # Генерация ответа моделью
-    responses = generator(prompt, max_length=150, num_return_sequences=1)
-    response = responses[0]['generated_text'].split(prompt)[1]  # Извлечение только сгенерированного ответа
-    
-    # Обновление истории чата
-    chat_history.append((message, response))
-    return chat_history, ""
+# Загрузка Gradio интерфейса из Hugging Face Spaces
+interface = gr.load("models/Mixtral-8x7B-Instruct-v0.1")
 
+# Настройка системного промпта
 DEFAULT_SYSTEM_PROMPT = """
 You are a helpful assistant in normal conversation.
 When given a problem to solve, you are an expert problem-solving assistant.
 Your task is to provide a detailed, step-by-step solution to a given question.
 """
 
+# Определение функции для очистки чата
 def clear_chat():
     return [], ""
 
+# Создание интерфейса с пользовательскими элементами
 with gr.Blocks() as demo:
     gr.Markdown("# Custom Chat Interface")
     
     with gr.Row():
-        model_dropdown = gr.Dropdown(choices=[model_name], label="Select Model", value=model_name)
+        model_dropdown = gr.Dropdown(choices=["Mixtral-8x7B-Instruct-v0.1"], label="Select Model", value="Mixtral-8x7B-Instruct-v0.1")
     
     system_prompt = gr.Textbox(value=DEFAULT_SYSTEM_PROMPT, lines=5, label="System Prompt")
     chatbot = gr.Chatbot(label="Chat")
     msg = gr.Textbox(label="Type your message here...", placeholder="Enter your message...")
     
-    msg.submit(generate, inputs=[msg, chatbot, model_dropdown, system_prompt], outputs=[chatbot, msg])
+    msg.submit(interface, inputs=[msg, chatbot, model_dropdown, system_prompt], outputs=[chatbot, msg])
     gr.Button("Clear Chat").click(clear_chat, inputs=None, outputs=[chatbot, msg])
 
 demo.launch()