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Upload 4 files
Browse files- Dockerfile +22 -0
- caller_v2.py +55 -0
- greetings.mp3 +0 -0
- requirements.txt +60 -0
Dockerfile
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FROM python:3.12-slim
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WORKDIR /usr/src/app
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COPY . .
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RUN apt-get update && apt-get install -y git
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# Install dependencies from requirements.txt
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RUN pip3 install --no-cache-dir -r requirements.txt
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#RUN pip3 uninstall gradio_client
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#RUN pip3 install https://gradio-pypi-previews.s3.amazonaws.com/4bc495cb68aec014cffffce16c14ee1ddaacf7a3/gradio-4.41.0-py3-none-any.whl
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#RUN pip3 install "gradio-client @ git+https://github.com/gradio-app/gradio@4bc495cb68aec014cffffce16c14ee1ddaacf7a3#subdirectory=client/python"
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# Expose the port for Gradio
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EXPOSE 7860
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# Set the Gradio server name
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ENV GRADIO_SERVER_NAME="0.0.0.0"
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# Run the application
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CMD ["python", "-u", "caller_v2.py"]
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caller_v2.py
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import json
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from typing import Iterator
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import gradio as gr
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from groq import Groq
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from elevenlabs.client import ElevenLabs
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import logging as log
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# Initialize Groq client
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client = Groq(api_key="")
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elevenlabs_client = ElevenLabs(
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api_key=""
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)
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def transcribe_audio(audio_file_path, language, additional_text):
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try:
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bytes_data = open('greetings.mp3', 'rb').read()
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yield "Checking ...", bytes_data
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except Exception as e:
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print(f"error: {e}")
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log.info(f'error: {e}')
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yield f"An error occurred: {str(e)}", None
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def speach_to_text():
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# List of supported languages (this is an example, adjust based on Groq's actual supported languages)
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languages = ["en", "ba", "ms", "is", "no", "id"]
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# Create Gradio interface
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iface = gr.Interface(
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fn=transcribe_audio,
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inputs=[
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gr.Audio(type="filepath", label="Upload Audio File"),
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gr.Dropdown(choices=languages, label="Select Language", value="en"),
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# gr.Radio(["standard", "high"], label="Transcription Quality", value="standard"),
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gr.Textbox(label="Additional Text", placeholder="Enter any additional context or instructions here...")
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],
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outputs=[
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gr.Textbox(label="Response"),
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gr.Audio(label="Audio Stream", autoplay=True, format="mp3")
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],
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title="Groq Speech-to-Text Transcription",
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description="Upload an audio file, set parameters, and provide additional text for context in the "
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"transcription process."
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)
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# Launch the interface
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iface.launch()
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# Press the green button in the gutter to run the script.
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if __name__ == '__main__':
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speach_to_text()
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greetings.mp3
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Binary file (37.6 kB). View file
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requirements.txt
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aiofiles==23.2.1
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annotated-types==0.7.0
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anyio==4.4.0
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certifi==2024.7.4
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charset-normalizer==3.3.2
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click==8.1.7
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contourpy==1.2.1
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cycler==0.12.1
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distro==1.9.0
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elevenlabs==1.7.0
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fastapi==0.112.0
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ffmpy==0.4.0
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filelock==3.15.4
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fonttools==4.53.1
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fsspec==2024.6.1
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gradio @ https://gradio-pypi-previews.s3.amazonaws.com/3dbb412d75a463affc00898b24ade9eb5116e07b/gradio-4.41.0-py3-none-any.whl#sha256=c6a08ed04050cbf8c8d17a5ee3d23af8dc2d793bef53a3a519c299f8a84f07dc
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gradio_client @ git+https://github.com/gradio-app/gradio@4bc495cb68aec014cffffce16c14ee1ddaacf7a3#subdirectory=client/python
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groq==0.9.0
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h11==0.14.0
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httpcore==1.0.5
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httpx==0.27.0
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huggingface-hub==0.24.5
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idna==3.7
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importlib_resources==6.4.0
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Jinja2==3.1.4
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kiwisolver==1.4.5
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markdown-it-py==3.0.0
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MarkupSafe==2.1.5
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matplotlib==3.9.2
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mdurl==0.1.2
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numpy==2.0.1
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orjson==3.10.7
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packaging==24.1
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pandas==2.2.2
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pillow==10.4.0
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pydantic==2.8.2
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pydantic_core==2.20.1
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pydub==0.25.1
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Pygments==2.18.0
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pyparsing==3.1.2
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python-dateutil==2.9.0.post0
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python-multipart==0.0.9
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pytz==2024.1
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PyYAML==6.0.2
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requests==2.32.3
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rich==13.7.1
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ruff==0.5.7
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semantic-version==2.10.0
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shellingham==1.5.4
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six==1.16.0
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sniffio==1.3.1
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starlette==0.37.2
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tomlkit==0.12.0
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tqdm==4.66.5
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typer==0.12.3
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typing_extensions==4.12.2
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tzdata==2024.1
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urllib3==2.2.2
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uvicorn==0.30.6
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websockets==12.0
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