talksik
74 lines
2.0 KiB
Python
74 lines
2.0 KiB
Python
from dotenv import load_dotenv
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load_dotenv()
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from flask import Flask, request, abort, send_file
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from tempfile import NamedTemporaryFile
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import tts
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import whisper
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# Load the Whisper model:
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model = whisper.load_model("base")
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app = Flask(__name__)
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@app.route("/")
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def helloWorld():
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return "Hello, World!"
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@app.route("/transcribe", methods=["POST"])
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def transcribe():
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if not request.files:
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# If the user didn't submit any files, return a 400 (Bad Request) error.
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abort(400, "No files submitted!")
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# For each file, let's store the results in a list of dictionaries.
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results = []
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# Loop over every file that the user submitted.
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for filename, handle in request.files.items():
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# Create a temporary file.
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# The location of the temporary file is available in `temp.name`.
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temp = NamedTemporaryFile()
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# Write the user's uploaded file to the temporary file.
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# The file will get deleted when it drops out of scope.
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handle.save(temp)
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# Let's get the transcript of the temporary file.
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result = model.transcribe(temp.name)
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# Now we can store the result object for this file.
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results.append(
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{
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"filename": filename,
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"transcript": result["text"],
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}
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)
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# This will be automatically converted to JSON.
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return {"results": results}
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# endpoint to convert text to speech and return the file
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@app.route("/tts", methods=["POST"])
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def text_to_speech():
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# get the text from the request json
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content = request.get_json()
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text = content['text']
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if not text:
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abort(400, "Please provide text to convert to speech!")
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# call the text_to_wav function from tts.py
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fileName = tts.text_to_wav(
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voice_name="en-GB-Neural2-B",
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text=text,
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)
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# return the file
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return send_file(f"{fileName}.wav", mimetype="audio/wav")
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if __name__ == "__main__":
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# 0.0.0.0 opens up to all ipv4 addresses
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app.run(host="0.0.0.0", port=5001, debug=True)
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