Update app.py

app.py

@@ -6,8 +6,7 @@ from PIL import Image
 # Supported formats
 supported_formats = ['avi', 'mp4', 'mov', 'mkv', 'flv', 'wmv', 'webm', 'mpeg', 'mpg', '3gp']
 audio_formats = ['mp3', 'wav', 'aac', 'flac']
-gif_formats = ['gif']
-image_formats = list(Image.SAVE.keys())  # Supported image formats
+image_formats = sorted(Image.SAVE.keys())  # Supported image formats
 
 def get_video_duration(video_path):
     """Get video duration in seconds using ffmpeg."""
@@ -17,20 +16,24 @@ def get_video_duration(video_path):
 def convert_video(video, target_format, conversion_type, time_in_seconds=None):
     try:
         base_name = os.path.splitext(os.path.basename(video.name))[0]
+        video_path = f"./temp/{base_name}"
+
+        with open(video_path, "wb") as f:
+            f.write(video.getbuffer())  # Save the uploaded video to a local file
 
         if conversion_type == 'Video to Video':
             output_file = f"flowly_ai_video_converter_{base_name}.{target_format.lower()}"
-            ffmpeg.input(video.name).output(output_file).run()
+            ffmpeg.input(video_path).output(output_file).run()  # Use ffmpeg.input properly
             return output_file
 
         elif conversion_type == 'Video to Audio':
             audio_output_file = f"flowly_ai_video_to_audio_{base_name}.{target_format.lower()}"
-            ffmpeg.input(video.name).output(audio_output_file).run()
+            ffmpeg.input(video_path).output(audio_output_file).run()  # Use ffmpeg.input properly
             return audio_output_file
 
         elif conversion_type == 'Video to GIF':
             gif_output_file = f"flowly_ai_video_to_gif_{base_name}.gif"
-            ffmpeg.input(video.name).output(gif_output_file, vf="fps=10,scale=320:-1:flags=lanczos").run()
+            ffmpeg.input(video_path).output(gif_output_file, vf="fps=10,scale=320:-1:flags=lanczos").run()  # Use ffmpeg.input properly
             return gif_output_file
 
         elif conversion_type == 'Video to Image':
@@ -38,8 +41,9 @@ def convert_video(video, target_format, conversion_type, time_in_seconds=None):
                 return "Please specify a valid time in seconds for image extraction."
 
             image_output_file = f"flowly_ai_video_to_image_{base_name}_{time_in_seconds}.png"
-            ffmpeg.input(video.name, ss=time_in_seconds).output(image_output_file, vframes=1).run()
+            ffmpeg.input(video_path, ss=time_in_seconds).output(image_output_file, vframes=1).run()  # Use ffmpeg.input properly
 
+            # Convert the image to the desired format using Pillow
             img = Image.open(image_output_file)
             if target_format.lower() in image_formats:
                 image_output_file = f"flowly_ai_video_to_image_{base_name}_{time_in_seconds}.{target_format.lower()}"