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import streamlit as st
import common
import os
import pickle
from llama_hub.file.audio.base import AudioTranscriber
from log import logger
from pathlib import Path
common.check_login()
loader = AudioTranscriber()
INDEX_NAME = os.environ["INDEX_NAME"]
PKL_NAME = os.environ["PKL_NAME"]
if "file_uploader_key" not in st.session_state:
st.session_state["file_uploader_key"] = 0
st.title("📝 ImportAudioFile")
uploaded_file = st.file_uploader("Upload an article", type=("mp3", "mp4"),key=st.session_state["file_uploader_key"])
if st.button("import",use_container_width=True):
filepath = os.path.join('documents', os.path.basename( uploaded_file.name))
try:
with open(filepath, 'wb') as f:
f.write(uploaded_file.getvalue())
f.close()
logger.info(filepath)
document = loader.load_data(file=Path(filepath))[0]
logger.info(document)
document.metadata={'filename': os.path.basename(uploaded_file.name)}
st.session_state.stored_docs.append(uploaded_file.name)
logger.info(st.session_state.stored_docs)
st.session_state.index.insert(document=document)
st.session_state.index.storage_context.persist(persist_dir=INDEX_NAME)
os.remove(filepath)
common.setChatEngine()
with open(PKL_NAME, "wb") as f:
print("pickle")
pickle.dump(st.session_state.stored_docs, f)
st.session_state["file_uploader_key"] += 1
st.experimental_rerun()
except Exception as e:
# cleanup temp file
logger.error(e)
if filepath is not None and os.path.exists(filepath):
os.remove(filepath)
st.subheader("Import File List")
if "stored_docs" in st.session_state:
logger.info(st.session_state.stored_docs)
for docname in st.session_state.stored_docs:
st.write(docname)
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