Update app.py

app.py

@@ -5,34 +5,38 @@ import subprocess
 def main():
     st.title("Smart Edit Assistant")
 
+    # 1. Upload a video
     uploaded_file = st.file_uploader("Upload your video", type=["mp4", "mov", "mkv"])
 
     if uploaded_file:
+        # Save the uploaded file to temp_input.mp4
         with open("temp_input.mp4", "wb") as f:
             f.write(uploaded_file.getbuffer())
 
+        # Display the original video
         st.video("temp_input.mp4")
 
+        # Button to process the video
         if st.button("Process Video"):
-            # 1. Extract audio using FFmpeg (example)
+            # Extract audio using FFmpeg
             with st.spinner("Extracting audio..."):
                 audio_path = extract_audio_ffmpeg("temp_input.mp4", "temp_audio.wav")
 
-            # 2. Transcribe audio (placeholder function; use openai-whisper or local)
+            # Transcribe audio (placeholder)
             with st.spinner("Transcribing..."):
                 transcript_text = transcribe_audio(audio_path)
             st.text_area("Transcript", transcript_text, height=200)
 
-            # 3. Generate instructions (placeholder function; calls GPT or open-source LLM)
+            # Generate editing instructions (placeholder)
             with st.spinner("Generating edit instructions..."):
                 edit_instructions = generate_edit_instructions(transcript_text)
             st.write("AI Edit Instructions:", edit_instructions)
 
-            # 4. Apply Edits with FFmpeg
+            # Apply edits (placeholder) with FFmpeg
             with st.spinner("Applying edits..."):
                 edited_video_path = apply_edits("temp_input.mp4", edit_instructions)
 
-            # 5. Verify output file
+            # Verify the edited video file
             abs_edited_path = os.path.join(os.getcwd(), edited_video_path)
             if not os.path.exists(abs_edited_path):
                 st.error(f"Edited video file not found at '{abs_edited_path}'. Check logs.")
@@ -40,12 +44,13 @@ def main():
 
             file_size = os.path.getsize(abs_edited_path)
             if file_size == 0:
-                st.error(f"Edited video file is empty (0 bytes). Check ffmpeg or editing logic.")
+                st.error("Edited video file is empty (0 bytes). Check ffmpeg or editing logic.")
                 return
 
             st.success("Edit complete! Now previewing the edited video.")
-            st.video(abs_edited_path)  # pass the absolute path
+            st.video(abs_edited_path)
 
+            # Provide a download button for the edited file
             with open(abs_edited_path, "rb") as f_out:
                 st.download_button(
                     label="Download Edited Video",
@@ -54,14 +59,15 @@ def main():
                     mime="video/mp4",
                 )
 
+
 def extract_audio_ffmpeg(input_video, output_audio):
     """
-    Calls ffmpeg to extract audio. Returns path if successful; raises if not.
+    Calls ffmpeg to extract audio. Returns the output_audio path if successful; raises if not.
     """
     cmd = [
         "ffmpeg", "-y",
         "-i", input_video,
-        "-vn",  # no video
+        "-vn",  # Strip out the video
         "-acodec", "pcm_s16le",
         "-ar", "16000",
         "-ac", "1",
@@ -72,31 +78,36 @@ def extract_audio_ffmpeg(input_video, output_audio):
         raise RuntimeError(f"ffmpeg error: {result.stderr.decode()}")
     return output_audio
 
+
 def transcribe_audio(audio_path):
     """
-    Placeholder for your transcription logic (whisper / openai-whisper).
+    Placeholder for your transcription logic (local Whisper, OpenAI Whisper API, etc.).
+    Here, we simply return a mock transcript for demonstration.
     """
     return "This is a mock transcript."
 
+
 def generate_edit_instructions(transcript_text):
     """
-    Placeholder for GPT/LLM-based instructions. 
-    Return string or structured instructions (like JSON).
+    Placeholder for GPT or other LLM-based logic. 
+    Return instructions (text, JSON, etc.) detailing how to edit the video.
     """
     return "Keep everything; no major edits."
 
+
 def apply_edits(input_video, edit_instructions):
     """
-    Demo function: We'll just copy input to output to show a valid flow.
-    In practice, you'd parse instructions & cut the video with ffmpeg or moviepy.
+    A simple placeholder function. In practice, you'd parse instructions 
+    and run ffmpeg/moviepy to cut or reassemble the video. 
+    Here, we just do a direct copy with ffmpeg to simulate a final step.
     """
     output_video = "edited_video.mp4"
-    # For demonstration, let's do a direct copy with ffmpeg:
     cmd = ["ffmpeg", "-y", "-i", input_video, "-c", "copy", output_video]
     result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
     if result.returncode != 0:
         raise RuntimeError(f"ffmpeg editing error: {result.stderr.decode()}")
     return output_video
 
+
 if __name__ == "__main__":
     main()