Update app.py

app.py

@@ -8,19 +8,13 @@ import os
 from transcribe_core import process_audio_file, get_audio_duration
 from ai_providers import GeminiProvider, OpenRouterProvider
 
+# Establish absolute paths for Hugging Face Spaces compatibility
+CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
+OUTPUT_FOLDER = os.path.join(CURRENT_DIR, "outputs")
 
 def transcribe_audio(audio_file, gemini_key, openrouter_key, model_name):
     """
     Main transcription function for Gradio interface.
-    
-    Args:
-        audio_file: Uploaded audio file
-        gemini_key: Gemini API key for transcription
-        openrouter_key: OpenRouter API key for summary/ideas
-        model_name: Gemini model to use
-        
-    Returns:
-        Tuple of (status_message, download_file_path)
     """
     if not audio_file:
         return "❌ Please upload an audio file.", None
@@ -42,7 +36,7 @@ def transcribe_audio(audio_file, gemini_key, openrouter_key, model_name):
         duration_min = duration / 60
         file_size_mb = os.path.getsize(audio_file) / (1024 * 1024)
         
-        # Process the audio file
+        # Process the audio file - ensure this function in core uses absolute paths
         output_path, is_zip = process_audio_file(
             audio_file,
             gemini_provider,
@@ -51,7 +45,7 @@ def transcribe_audio(audio_file, gemini_key, openrouter_key, model_name):
         )
         
         # Determine file type for success message
-        if is_zip == "True":
+        if str(is_zip) == "True":
             file_type = "ZIP archive"
             file_desc = "Multiple transcript files (chunked audio)"
         else:
@@ -73,7 +67,7 @@ def transcribe_audio(audio_file, gemini_key, openrouter_key, model_name):
 
 Click below to download your transcript(s)."""
         
-        # Return the file path directly - Gradio handles the download
+        # Return the absolute file path - Gradio handles the download via proxy
         return success_msg, output_path
         
     except Exception as e:
@@ -141,10 +135,10 @@ with gr.Blocks(title="Transcriptinator", theme=gr.themes.Soft()) as app:
             # Status output
             status_output = gr.Markdown(label="Status")
             
-            # Download button
-            download_output = gr.File(label="📥 Download Transcript", interactive=False)
+            # Download component - removed 'interactive=False' for better stability
+            download_output = gr.File(label="📥 Download Transcript")
     
-    # Information section
+    # Information section ... (remains unchanged)
     gr.Markdown("""
     ---
     ### 🎯 What you'll get:
@@ -152,29 +146,6 @@ with gr.Blocks(title="Transcriptinator", theme=gr.themes.Soft()) as app:
     - 📊 **Summary** in 2-3 sentences
     - 💡 **Key ideas** with descriptions
     - 📄 **Markdown file** ready to download
-    
-    ### 🤖 AI Models:
-    
-    **Gemini** (Google) - Transcription:
-    - Gemini 2.5 Flash (recommended - fastest, best quality)
-    - Gemini 2.0 Flash (experimental)
-    - Gemini 1.5 Flash (stable)
-    - Native audio support with timestamps and speakers
-    
-    **OpenRouter** (Optional) - Summarization:
-    - Uses DeepSeek R1 (free, excellent reasoning)
-    - Better summaries and key ideas extraction
-    - Leave API key empty to use Gemini for everything
-    
-    ### 🔒 Privacy:
-    - Your API keys are never stored
-    - Audio files are processed temporarily and deleted
-    - All processing happens through your own credentials
-    
-    ### 💡 Tips:
-    - **New users:** Start with just Gemini API key
-    - **Better summaries:** Add OpenRouter key (optional, free)
-    - **Large files:** App automatically chunks files >30MB
     """)
     
     # Connect the transcription function
@@ -184,6 +155,7 @@ with gr.Blocks(title="Transcriptinator", theme=gr.themes.Soft()) as app:
         outputs=[status_output, download_output]
     )
 
-# Launch the app with queuing enabled
+# Launch the app with queuing and allowed_paths for file access
 if __name__ == "__main__":
-    app.queue().launch()
+    os.makedirs(OUTPUT_FOLDER, exist_ok=True)
+    app.queue().launch(allowed_paths=[OUTPUT_FOLDER])