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Bismay
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Update readme to reflect repo name/ Update requirements.txt to fix dependency conflict
Browse files- README.md +7 -7
- requirements.txt +2 -3
README.md
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---
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title:
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emoji: 💬
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colorFrom: green
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colorTo: green
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## Overview
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`
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The repository contains the following main components:
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- **`app.py`**: The main Gradio application file that runs the MCP server.
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- **`transcription_tool.py`**: The core logic for handling file conversion and calling the transcription function.
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- **`transcription.py`**: Contains the implementation for Whisper transcription using the `transformers` library.
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- **`tool_config.json`**: Configuration details for the `
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- **`requirements.txt`**: Lists the necessary Python dependencies.
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- **`ffmpeg_setup.py`**: Script to ensure ffmpeg is available.
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- **`logging_config.py`**: Configuration for logging.
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1. Clone this repository:
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```bash
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git clone https://huggingface.co/spaces/bismay/
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cd
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```
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2. Install dependencies:
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```bash
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This application is also hosted on Hugging Face Spaces, providing a publicly accessible MCP server. You can connect to this hosted server using the following URL:
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`https://bismay-
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To connect your MCP client (like Cline) to this hosted server, add a configuration entry similar to this:
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{
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"mcpServers": {
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"remoteTranscript": {
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"url": "https://
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}
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}
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}
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---
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title: transcription-en-mcp - Gradio MCP Server for Transcription
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emoji: 💬
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## Overview
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`transcription-en-mcp` is a Gradio application configured to function as an MCP (Model Control Protocol) server. It is designed to transcribe audio and video from URLs into text. Implementing OpenAI's Whisper and `ffmpeg` (via `yt-dlp`), this server enables MCP clients (like Cline) to process multimedia inputs efficiently by downloading and converting content from a given URL. It supports robust handling, including format conversion to WAV and dynamic device selection (CPU or GPU).
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The repository contains the following main components:
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- **`app.py`**: The main Gradio application file that runs the MCP server.
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- **`transcription_tool.py`**: The core logic for handling file conversion and calling the transcription function.
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- **`transcription.py`**: Contains the implementation for Whisper transcription using the `transformers` library.
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- **`tool_config.json`**: Configuration details for the `transcription-en-mcp`.
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- **`requirements.txt`**: Lists the necessary Python dependencies.
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- **`ffmpeg_setup.py`**: Script to ensure ffmpeg is available.
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- **`logging_config.py`**: Configuration for logging.
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1. Clone this repository:
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```bash
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git clone https://huggingface.co/spaces/bismay/transcription-en-mcp
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cd transcription-en-mcp
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```
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2. Install dependencies:
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```bash
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This application is also hosted on Hugging Face Spaces, providing a publicly accessible MCP server. You can connect to this hosted server using the following URL:
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`https://bismay-transcription-en-mcp.hf.space/gradio_api/mcp/sse`
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To connect your MCP client (like Cline) to this hosted server, add a configuration entry similar to this:
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{
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"mcpServers": {
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"remoteTranscript": {
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"url": "https://bismay-transcription-en-mcp.hf.space/gradio_api/mcp/sse"
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}
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}
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}
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requirements.txt
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huggingface_hub==0.30.1
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gradio==5.29.0
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gradio[mcp]
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pydantic==2.
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youtube-transcript-api==0.6.3
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yt-dlp==2025.1.15
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transformers==4.48.1
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torch==2.2.2
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imageio-ffmpeg==0.6.0
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numpy==1.24.3
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smolagents==1.4.1
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huggingface_hub==0.30.1
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gradio==5.29.0
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gradio[mcp]
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pydantic==2.11.4
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youtube-transcript-api==0.6.3
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yt-dlp==2025.1.15
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transformers==4.48.1
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torch==2.2.2
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imageio-ffmpeg==0.6.0
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numpy==1.24.3
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