import tempfile def convert_wav_to_mp3(input_file, output_path): # Convert WAV to MP3 using ffmpeg stream = ffmpeg.input(input_file) stream = ffmpeg.output(stream, output_path, audio_bitrate='128k') ffmpeg.run(stream) # Streamlit app st.title("WAV to MP3 Converter") # Upload WAV fil...
"""Upload image file from disk to deta using streamlit. References: streamlit: https://docs.streamlit.io/library/api-reference/widgets/st.file_uploader deta: https://docs.deta.sh/docs/drive/sdk#put """ import streamlit as st from deta import Deta # Initialize a project with project key f...
parent directory .. bin Update License Headers (#7854) Dec 21, 2023 conda-recipe Fix CI conda build (#8379) Apr 5, 2024 streamlit Update version and project name in files Nov 9, 2024 tests Fix typo in docstring (#9782) Nov 8, 2024 .coveragerc Upload pytest test coverage report in CI...
# writing the file from RAM to the current directory on diskbytes_data = uploaded_file.read() file_name = os.path.join('./', uploaded_file.name) with open(file_name, 'wb') as f: f.write(bytes_data) data = load_document(file_name) chunks = chunk_data(data, ...
Problem The problem is, that when doing a multi-upload using the file uploader widget, some files can fail sometimes (even though they are below the file size limit), see screenshot: I tried uploading 13 files with ~12MB each. 7 failed a...
Go to MyApplication directory and run streamlit run main.py to check if everything works as planned. Prepare requirements.txt file by running, e.g., pip freeze > requirements.txt. Go to the parent directory (with respect to MyApplication folder) and publish the application using: I...
User develops a local Streamlit App and defines the path of these assets in the module configuration, then runs terraform apply to generate a local .zip file comprised of the Streamlit App directory, and upload this to anAmazon S3bucket (Streamlit Assets) with versioning enabled, which is...
CSV文件是一种纯文本文件，其使用特定的结构来排列表格数据。CSV是一种紧凑，简单且通用的数据交换通用...
file in the system onnx_dir = "DIRECTORY TO ONNX FILE" onnx_file = "ONNX FILE NAME" model_name = "MODEL NAME" try: OracleEmbeddings.load_onnx_model(conn, onnx_dir, onnx_file, model_name) print("ONNX model loaded.") except Exception as e: print("ONNX model loading failed!...
Experience report How to master a successful on-premise H4S4 Migration 1 external terminal 1 external time events 1 Feature Highlights 1 File Upload 1 form launch using business rules 1 GenAI 2 gender 1 Generative AI 2 Getting Started 1 Global Benefits 2 Goal Planning Template ...