Update app.py

app.py

@@ -390,8 +390,6 @@ def process_url(url, num_speakers, whisper_model, custom_prompt, offset, api_nam
 
             if summary_file_path and os.path.exists(summary_file_path):
                 return formatted_transcription, summary_text, prettified_json_file_path, summary_file_path, video_file_path, None
-            #elif api_name.lower() == 'huggingface':
-            #    return formatted_transcription, waiting_summary, prettified_json_file_path, None, video_file_path, None
             else:
                 return formatted_transcription, summary_text, prettified_json_file_path, None, video_file_path, None
         else:
@@ -1319,8 +1317,8 @@ def launch_ui(demo_mode=False):
             download_audio_input = gr.Checkbox(
                 label="Download Audio(Select to allow for file download of selected Video's Audio)", value=False,
                 visible=False)
-            detail_level_input = gr.Slider(minimum=0.0, maximum=1.0, value=0.1, step=0.1, interactive=False,
-                                           label="Detail Level (Slide me)", visible=True)
+            detail_level_input = gr.Slider(minimum=0.0, maximum=1.0, value=0.1, step=0.1, interactive=True,
+                                           label="Detail Level (Slide me)", visible=False)
 
             inputs = [num_speakers_input, whisper_model_input, custom_prompt_input, offset_input, api_name_input,
                       api_key_input, vad_filter_input, download_video_input, download_audio_input, detail_level_input]
@@ -1347,10 +1345,12 @@ def launch_ui(demo_mode=False):
             outputs = [
                 gr.Textbox(label="Transcription (Resulting Transcription from your input URL)"),
                 gr.Textbox(label="Summary or Status Message (Current status of Summary or Summary itself)"),
-                gr.File(label="Download Transcription as JSON (Download the Transcription as a file)"),
-                gr.File(label="Download Summary as Text (Download the Summary as a file)"),
-                gr.File(label="Download Video (Download the Video as a file)"),
-                gr.File(label="Download Audio (Download the Audio as a file)")
+                gr.File(label="Download Transcription as JSON (Download the Transcription as a file)",container=False,visible=True,render=False),
+                gr.File(label="Download Summary as Text (Download the Summary as a file)",container=False,visible=True,render=False),
+                # FIXME
+                # https://www.gradio.app/docs/gradio/file
+                gr.File(label="Download Video (Download the Video as a file)",container=False,visible=False,render=False),
+                gr.File(label="Download Audio (Download the Audio as a file)",container=False,visible=False,render=False)
             ]
 
             gr.Interface(
@@ -1447,6 +1447,7 @@ def main(input_path, api_name=None, api_key=None, num_speakers=2, whisper_model=
                 # Perform summarization based on the specified API
                 logging.debug(f"MAIN: Summarization being performed by {api_name} API")
                 json_file_path = audio_file.replace('.wav', '.segments.json')
+                prettified_json_file_path = transcription_result['audio_file'].replace('.wav', '.segments_pretty.json')
                 if api_name == "huggingface":
                     huggingface_api_key = os.getenv('HF_TOKEN').replace('"', '')
                     if huggingface_api_key is None: