Update app.py

app.py

@@ -1,24 +1,12 @@
-import streamlit as st
 import requests
 
 API_URL = "https://api-inference.huggingface.co/models/openai/whisper-large-v3-turbo"
-headers = {"Authorization": f"Bearer {st.secrets['HF_API_KEY']}"} # Безопасное хранение токена
+headers = {"Authorization": "Bearer hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"}
 
-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
+def query(filename):
+with open(filename, "rb") as f:
+data = f.read()
+response = requests.post(API_URL, headers=headers, data=data)
+return response.json()
 
-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"])
+output = query("sample1.flac")