Create app.py

app.py

@@ -0,0 +1,43 @@
+from fastapi import FastAPI, HTTPException, UploadFile, File
+from fastapi.responses import FileResponse
+from kokoro import KPipeline
+import soundfile as sf
+import os
+import tempfile
+
+app = FastAPI(title="Text-to-Speech Converter")
+
+# Initialize pipeline once at startup
+pipeline = KPipeline(lang_code='a')
+
+@app.post("/generate_audio/")
+async def generate_audio(text: str = None):
+    if not text:
+        raise HTTPException(status_code=400, detail="No text provided")
+    
+    try:
+        # Create temporary directory
+        with tempfile.TemporaryDirectory() as tmpdir:
+            # Generate audio
+            generator = pipeline(
+                text,
+                voice='af_heart',
+                speed=1,
+                split_pattern=r'\n+'
+            )
+            
+            # Process first audio segment only (modify as needed)
+            i, (gs, ps, audio) = next(enumerate(generator))
+            
+            # Save to temporary file
+            output_path = f"{tmpdir}/output.wav"
+            sf.write(output_path, audio, 24000)
+            
+            return FileResponse(
+                output_path,
+                media_type='audio/wav',
+                filename="generated_audio.wav"
+            )
+            
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))