Create app.py

app.py

@@ -0,0 +1,57 @@
+from fastapi import FastAPI, UploadFile, File, HTTPException
+import yt_dlp
+import whisper
+import tempfile
+import os
+
+app = FastAPI(title="Silent Tech Utils API")
+
+# Load the AI Voice model into RAM (Using 'base' so it's super fast on a CPU)
+print("Loading Whisper AI...")
+model = whisper.load_model("base")
+print("Whisper ready!")
+
+@app.get("/")
+def read_root():
+    return {"status": "Silent Utils API is ONLINE"}
+
+@app.get("/api/download")
+def download_media(url: str):
+    """Bypasses protections and gets the direct raw MP4/MP3 link."""
+    ydl_opts = {
+        'format': 'best',
+        'quiet': True,
+        'no_warnings': True,
+        'skip_download': True # We just want the URL to give to the WhatsApp bot
+    }
+    try:
+        with yt_dlp.YoutubeDL(ydl_opts) as ydl:
+            info = ydl.extract_info(url, download=False)
+            return {
+                "success": True,
+                "title": info.get('title'),
+                "duration": info.get('duration'),
+                "thumbnail": info.get('thumbnail'),
+                "download_url": info.get('url') # The direct raw video/audio link!
+            }
+    except Exception as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
+@app.post("/api/transcribe")
+async def transcribe_audio(file: UploadFile = File(...)):
+    """Converts WhatsApp voice notes to text."""
+    try:
+        # Save the uploaded WhatsApp audio temporarily
+        with tempfile.NamedTemporaryFile(delete=False, suffix=".ogg") as temp_audio:
+            temp_audio.write(await file.read())
+            temp_audio_path = temp_audio.name
+        
+        # Whisper AI transcribes it to text
+        result = model.transcribe(temp_audio_path)
+        
+        # Clean up
+        os.remove(temp_audio_path)
+        
+        return {"success": True, "text": result["text"].strip()}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))