Update app.py

app.py

@@ -116,22 +116,19 @@ def save_cookies(file):
         return None
 
 # ✅ YouTube pipeline
-def run_pipeline_audio(audio_file):
+def run_pipeline(url, cookies_file):
     try:
         if not WHISPER_AVAILABLE:
             return "❌ Whisper is not installed. Run: pip install openai-whisper", ""
-        if audio_file is None:
-            return "❌ No audio file uploaded", ""
+        if not url:
+            return "❌ YouTube URL required", ""
 
-        # Handle both file-like and NamedString (path string)
-        temp_audio_path = tempfile.mktemp(suffix=os.path.splitext(str(audio_file))[-1])
-        if hasattr(audio_file, "read"):
-            with open(temp_audio_path, "wb") as f:
-                f.write(audio_file.read())
-        else:
-            shutil.copy(str(audio_file), temp_audio_path)
+        cookie_path = save_cookies(cookies_file)
+        audio_path, status = download_audio(url, cookie_path)
+        if not audio_path:
+            return status, ""
 
-        transcript = transcribe_audio(temp_audio_path)
+        transcript = transcribe_audio(audio_path)
         if transcript.startswith("❌"):
             return transcript, ""
 
@@ -143,7 +140,6 @@ def run_pipeline_audio(audio_file):
         print(tb)
         return f"❌ Unhandled Error:\n{tb}", ""
 
-
 # ✅ Audio file upload pipeline
 def run_pipeline_audio(audio_file):
     try:
@@ -152,9 +148,13 @@ def run_pipeline_audio(audio_file):
         if audio_file is None:
             return "❌ No audio file uploaded", ""
 
-        temp_audio_path = tempfile.mktemp(suffix=os.path.splitext(audio_file.name)[-1])
-        with open(temp_audio_path, "wb") as f:
-            f.write(audio_file.read())
+        # Handle both file-like and NamedString (path string)
+        temp_audio_path = tempfile.mktemp(suffix=os.path.splitext(str(audio_file))[-1])
+        if hasattr(audio_file, "read"):
+            with open(temp_audio_path, "wb") as f:
+                f.write(audio_file.read())
+        else:
+            shutil.copy(str(audio_file), temp_audio_path)
 
         transcript = transcribe_audio(temp_audio_path)
         if transcript.startswith("❌"):