Update app.py

app.py

@@ -783,55 +783,20 @@ def load_example_audio(example_name):
     return None
 
 # Function to generate a shareable link
-def generate_share_link(audio_input=None, generate_audio=True, chunk_duration=10, results=None):
+
+def generate_share_link(audio_input=None, generate_audio=True, chunk_duration=10):
     try:
         # Check if we're on Hugging Face Spaces
         space_id = os.getenv('SPACE_ID')
         
-        # If we don't have results yet, just share the current app
-        if results is None:
-            if space_id:
-                space_url = f"https://huggingface.co/spaces/{space_id}"
-                return f"Your Space is already public! Share this URL: {space_url}"
-            else:
-                if hasattr(interface, 'share_url') and interface.share_url:
-                    return "Share this URL to let others use the app: " + interface.share_url
-                else:
-                    return "Share link is not available. Make sure to set share=True when launching."
-        
-        # If we have results, create a shareable link with the data
-        # For simplicity, we'll just create a JSON representation of the results
-        # In a real implementation, you might want to store this data in a database
-        # and generate a unique ID for it
-        
-        # Prepare data for sharing
-        share_data = {
-            "audio_input": audio_input if isinstance(audio_input, str) else "uploaded_audio",
-            "generate_audio": generate_audio,
-            "chunk_duration": chunk_duration,
-            "results": []
-        }
-        
-        # Add result data (simplified for sharing)
-        for result in results:
-            share_data["results"].append({
-                "chunk_index": result.get("chunk_index", 0),
-                "emotion": result.get("emotion", ""),
-                "transcription": result.get("transcription", ""),
-                "sentiment": result.get("sentiment", "")
-            })
-        
-        # Encode the data as a URL parameter
-        encoded_data = urllib.parse.quote(json.dumps(share_data))
-        
         if space_id:
-            # On Spaces, we can't easily create direct links to results
-            # So we'll just show the data and tell users to visit the space
-            return f"Share this data with others and have them visit https://huggingface.co/spaces/{space_id} to see similar results:\n\n{json.dumps(share_data, indent=2)}"
+            space_url = f"https://huggingface.co/spaces/{space_id}"
+            return f"Your Space is already public! Share this URL: {space_url}\n\nTo share specific results, ask others to process the same audio with the same settings."
         else:
-            # For local deployment, we can create a link with the data
-            # In a real implementation, you'd need a way to load this data
-            return f"To share these results, copy this data and have the recipient load it in the app:\n\n{json.dumps(share_data, indent=2)}"
+            if hasattr(interface, 'share_url') and interface.share_url:
+                return "Share this URL to let others use the app: " + interface.share_url + "\n\nTo share specific results, ask others to process the same audio with the same settings."
+            else:
+                return "Share link is not available. Make sure to set share=True when launching."
             
     except Exception as e:
         return f"Error generating share link: {str(e)}"
@@ -840,6 +805,7 @@ def generate_share_link(audio_input=None, generate_audio=True, chunk_duration=10
 
 
 
+
 # Create the Gradio interface with proper output handling
 with gr.Blocks(title="Affective Virtual Environments - Chunked Processing") as interface:
     gr.Markdown("# Affective Virtual Environments")
@@ -945,6 +911,7 @@ with gr.Blocks(title="Affective Virtual Environments - Chunked Processing") as i
     # Set up the button clicks
     
 # Update the process_btn click handler to include results in the output
+    # Remove the results_state component and simplify the process_btn click handler
     process_btn.click(
         fn=process_and_display,
         inputs=[audio_input, generate_audio_checkbox, chunk_duration_input],
@@ -955,8 +922,12 @@ with gr.Blocks(title="Affective Virtual Environments - Chunked Processing") as i
             container['image'],
             container['image_360'],
             container['music']
-        ]] + [viewer_html_output, js_output, gr.State()]
+        ]] + [viewer_html_output, js_output]
     )
+
+
+
+# Remove the results_state component
     
     clear_btn.click(
         fn=clear_all,
@@ -977,15 +948,12 @@ with gr.Blocks(title="Affective Virtual Environments - Chunked Processing") as i
         outputs=[audio_input, example_selector]
     )
     
-    # Set up the share button click
+    # Update the share button to not expect results
     share_btn.click(
         fn=generate_share_link,
-        inputs=[audio_input, generate_audio_checkbox, chunk_duration_input, gr.State()],
+        inputs=[audio_input, generate_audio_checkbox, chunk_duration_input],
         outputs=[share_output]
     )
-    
-    # Add a state component to store the results
-    results_state = gr.State()
 
 
     # Check if we're running on Hugging Face Spaces