Create app.py

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Загрузка модели и токенизатора
+model_name = "mistralai/Mistral-7B-Instruct-v0.3"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Функция для анализа фьючерсов
+def analyze_futures(crypto_pair):
+    input_text = f"Provide an analysis of the futures market for {crypto_pair}."
+    inputs = tokenizer(input_text, return_tensors="pt")
+
+    # Генерация ответа
+    with torch.no_grad():
+        output = model.generate(**inputs, max_length=150)
+
+    response = tokenizer.decode(output[0], skip_special_tokens=True)
+    return response
+
+# Создание интерфейса с помощью Gradio
+interface = gr.Interface(
+    fn=analyze_futures,
+    inputs=gr.Textbox(label="Crypto Pair", placeholder="Enter crypto pair (e.g., BNBUSDT, BTCUSDT)"),
+    outputs="text",
+    title="Futures Market Analysis",
+    description="Enter a crypto pair to get an analysis of its futures market."
+)
+
+# Запуск интерфейса
+interface.launch()