Update app.py

app.py

@@ -90,8 +90,16 @@ def detect_onnx_models(path):
     else:
         return None
 
-
-def main():
+@app.post("/synthesize")
+async def main(
+    request: Request,
+    text_input: str = Form(...),
+    speaker: str = Form(...),
+    speed_slider: float = Form(1.0),
+    noise_scale_slider: float = Form(0.667),
+    noise_scale_w_slider: float = Form(1.0),
+    play: bool = Form(True)
+):
     """Main entry point"""
     sys.path.append('./content/piper/src/python')
     models_path = "./content/piper/src/python"
@@ -218,6 +226,8 @@ def main():
         tooltip=lan.translate(lang, "Closes this GUI."),
         icon='check'
     )
+    return {"message": f"Text to synthesize: {text_input}, Speed: {speed_slider}, Play: {play}"}
+
 
     def on_synthesize_button_clicked(b):
         if model is None:
@@ -441,24 +451,9 @@ async def read_root(request: Request):
         {"request": request, "data": data},
     )
 
-@app.post("/synthesize")
-async def synthesize_text(
-    request: Request,
-    text_input: str = Form(...),
-    speed_slider: float = Form(1.0),
-    noise_scale_slider: float = Form(0.667),
-    noise_scale_w_slider: float = Form(1.0),
-    play: bool = Form(True)
-):
- 
-    # Process the form data and perform text synthesis and other logic here
-   # main()
-    # You can access the form data like text_input, speed_slider, etc.
-    # For example, you can call your inferencing function here.
-
-    return {"message": f"Text to synthesize: {text_input}, Speed: {speed_slider}, Play: {play}"}
 
 if __name__ == "__main__":
+    main()
     import uvicorn
     uvicorn.run(app, host="0.0.0.0", port=7860)
 #    main()