change client

app.py

@@ -17,9 +17,7 @@ from lib.infer_pack.models import (
     SynthesizerTrnMs768NSFsid,
     SynthesizerTrnMs768NSFsid_nono,
 )
-from gradio_client import Client
-from flask import Flask, request, jsonify
-from threading import Thread
+ 
 from rmvpe import RMVPE
 from vc_infer_pipeline import VC
 
@@ -33,8 +31,6 @@ limitation = os.getenv("SYSTEM") == "spaces"
 
 config = Config()
 
-app_flask= Flask(__name__)
-
 edge_output_filename = "edge_output.mp3"
 tts_voice_list = asyncio.get_event_loop().run_until_complete(edge_tts.list_voices())
 tts_voices = [f"{v['ShortName']}-{v['Gender']}" for v in tts_voice_list]
@@ -237,28 +233,7 @@ This is a text-to-speech webui of RVC models.
 
 Input text ➡[(edge-tts)](https://github.com/rany2/edge-tts)➡ Speech mp3 file ➡[(RVC)](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)➡ Final output
 """
-headers={
-    'Content-type':'application/json', 
-    'Accept':'application/json'
-}
-@app_flask.route('/receive_data', methods=['POST'])
-def receive_data():
-	data = request.json
-	model_name = data.get('model_name')
-	speed= data.get('speed')
-	headers=headers
-	print("Received data:", data)
-	return 'Data received by Flask'
-
-@app_flask.route('/api', methods=['GET'])
-def show_data():
-	data={
-	'message': tts_text.value,
-	'status': 'success'
-	}
-	but0.click()
-	tts_text.value="hola"
-	return jsonify(data)
+ 
 
 
 
@@ -391,14 +366,6 @@ with app:
             inputs=[tts_text, tts_voice],
         )
 
-def run_flask_app():
-    app_flask.run()
-
-if __name__ == '__main__':
-    # flask en hilo secundario
-    flask_thread = Thread(target=run_flask_app)
-    flask_thread.daemon= True
-    flask_thread.start()
     
     # gradio en principal
 app.launch(inbrowser=True)