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Bismay
commited on
Commit
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c139e1b
1
Parent(s):
5c39419
Remove tool config
Browse files- README.md +0 -1
- tool_config.json +0 -12
README.md
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@@ -21,7 +21,6 @@ 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 `gradio-transcript-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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- **`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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- **`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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tool_config.json
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{
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"description": "\n A smolagent tool for transcribing audio and video from URLs into text. This tool utilizes Whisper for transcription \n and ffmpeg (via yt-dlp) for media conversion, enabling agents to process multimedia inputs into text by downloading \n and converting content from a given URL. It supports robust handling, including format conversion to WAV and dynamic \n device selection for optimal performance. It empowers agents to integrate audio and video transcription capabilities \n into workflows for enhanced data accessibility.",
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"inputs": {
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"file_path": {
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"description": "Path to the audio or video file for transcription.",
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"type": "string"
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}
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},
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"name": "transcription_tool",
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"output_type": "string",
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"tool_class": "TranscriptionTool"
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}
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