without gradio
Browse files- __pycache__/server.cpython-310.pyc +0 -0
- app.py +2 -8
- server.py +1 -0
- templates/index.html +1 -1
- transformers +1 -0
__pycache__/server.cpython-310.pyc
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Binary files a/__pycache__/server.cpython-310.pyc and b/__pycache__/server.cpython-310.pyc differ
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app.py
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@@ -1,11 +1,6 @@
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import json
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import os
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import requests
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import socket
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import subprocess
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subprocess.run("uvicorn server:app",
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#os.system("uvicorn server:app --reload")
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@@ -13,7 +8,6 @@ subprocess.run("uvicorn server:app", shell=True)
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def start_server():
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os.system("uvicorn server:app --port 8080 --workers 2")
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-
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def is_port_in_use(port):
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with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
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return s.connect_ex(('0.0.0.0', port)) == 0
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@@ -25,4 +19,4 @@ def main():
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start_server()
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main()
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"""
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import subprocess
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subprocess.run(["uvicorn", "server:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "2"])
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#os.system("uvicorn server:app --reload")
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def start_server():
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os.system("uvicorn server:app --port 8080 --workers 2")
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def is_port_in_use(port):
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with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
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return s.connect_ex(('0.0.0.0', port)) == 0
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start_server()
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main()
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"""
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server.py
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@@ -64,6 +64,7 @@ async def listen(websocket, chunk_length_s=2.0, stream_chunk_s=2.0):
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audio_buffer.append(audio_chunk["raw"])
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prediction = intent_class_pipe(audio_chunk["raw"])
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await websocket.send_text(f"chunk: {prediction[0]['label']} | {i+1} / 4")
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if await is_silence(audio_chunk["raw"], threshold=0.7):
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audio_buffer.append(audio_chunk["raw"])
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prediction = intent_class_pipe(audio_chunk["raw"])
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print(prediction)
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await websocket.send_text(f"chunk: {prediction[0]['label']} | {i+1} / 4")
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if await is_silence(audio_chunk["raw"], threshold=0.7):
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templates/index.html
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@@ -49,7 +49,7 @@
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</section>
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</main>
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</div>
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<script src="/static/script.js?v=
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</body>
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</html>
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</section>
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</main>
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</div>
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<script src="/static/script.js?v=9"></script>
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</body>
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</html>
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transformers
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@@ -0,0 +1 @@
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Subproject commit 8ef0e0916534110f93fb4734ae91480ee0a9d4ca
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