Update app.py

app.py

@@ -1,12 +1,24 @@
+import streamlit as st
 import requests
 
 API_URL = "https://api-inference.huggingface.co/models/openai/whisper-large-v3-turbo"
-headers = {"Authorization": "Bearer hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"}
+headers = {"Authorization": f"Bearer {st.secrets['HF_API_KEY']}"} # Безопасное хранение токена
 
-def query(filename):
-with open(filename, "rb") as f:
-data = f.read()
-response = requests.post(API_URL, headers=headers, data=data)
-return response.json()
+def query(file):
+    try:
+        response = requests.post(API_URL, headers=headers, data=file.read())
+        response.raise_for_status()  # Проверка на ошибки HTTP
+        return response.json()
+    except requests.exceptions.RequestException as e:
+        st.error(f"Ошибка запроса к API: {e}")
+        return None
 
-output = query("sample1.flac")
+st.title("Транскрипция аудио")
+
+uploaded_file = st.file_uploader("Загрузите аудиофайл", type=["wav", "mp3", "flac"])
+
+if uploaded_file is not None:
+    with st.spinner("Транскрибируется..."):
+        output = query(uploaded_file)
+    if output:
+        st.text_area("Транскрипт:", value=output["text"])