using `mp4v` video codec

app.py

@@ -5,21 +5,25 @@ model = slt.models.ConcatenativeSynthesis("ur", "pk-sl", "video")
 
 
 def text_to_video(
-    text: str, text_language: str, sign_language: str, output_path: str = "output.mp4"
+    text: str,
+    text_language: str,
+    sign_language: str,
+    output_path: str = "output.mp4",
+    codec="h264",
 ):
     model.text_language = text_language
     model.sign_language = sign_language
 
     video = model.translate(text)
-    video.save(output_path, overwrite=True)
+    video.save(output_path, overwrite=True, codec=codec)
 
     # ToDo: video.watermark("Sign Language Translator\nAI Generated Video")
 
 
 def predict(text: str, text_language: str, sign_language: str):
     try:
-        path = "./output.mkv"
-        text_to_video(text, text_language, sign_language, output_path=path)
+        path = "./output.mp4"
+        text_to_video(text, text_language, sign_language, output_path=path, codec="mp4v")
         return path
     except Exception as exc:
         return gradio.Error(f"Error during translation: {exc}")
@@ -45,7 +49,7 @@ gradio_app = gradio.Interface(
         ),
     ],  # type: ignore
     outputs=gradio.Video(
-        format="mkv",
+        format="mp4",
         label="Synthesized Sign Language Video",
         autoplay=True,
         show_download_button=True,

packages.txt

@@ -1,4 +1,4 @@
-ffmpeg
 x264
 libx264-dev
+ffmpeg
 python3-opencv

requirements.txt

@@ -1,2 +1,2 @@
 sign-language-translator
-opencv-python
+opencv-python==4.1.1.26