Feat: Deal with csv files; remove interaction when no participant ID"

annotations.csv

@@ -1,5 +1,2 @@
 sample_id,sentence,emotion,confidence,comments
-007-0023,I was mostly hanging out in East Village in the clubs.,Neutral,20,
-007-0034,"And we became friends, and then he told me that his lover had died of AIDS.",Angry,30,
-007-0086,"I mean, given the size of ACT UP, I mean, really, you're talking about a handful.",Neutral,70,
-007-0129,"And why is he like, you know, why are you putting him in yellow face?",Angry,0,
+007-0023,I was mostly hanging out in East Village in the clubs.,Neutral,0,

app.py

@@ -17,6 +17,12 @@ css = """#myProgress {
   border-radius: 2px;
 } 
 
+#myHideBlock {
+  width: 110%;
+  height: 110%;
+  background-color: blue;
+} 
+
 #progressText {
   position: absolute;
   top: 50%;
@@ -26,13 +32,13 @@ css = """#myProgress {
   font-weight: bold; 
   font-size: 14px; 
 """
-
 js_progress_bar = """
     function move(n_ann, total_ann) {
+
     var elem = document.getElementById("myBar");
     elem.style.width = n_ann/total_ann * 100 + "%";
     progressText.innerText = 'Completed: ' + n_ann + '/' + total_ann
-      }
+    }
     """
 # List of all audio files to annotate
 file_list = pd.read_excel(os.path.join('combined_annotations.xlsx'))
@@ -53,13 +59,13 @@ def load_example(index):
 
     # If the user already made an annotation for this example, gradio will return said annotation
     previous_annotation = (
-        annotations.iloc[index].to_dict() if index < len(annotations) else {"sample_id": row["SAMPLE ID"], "emotion": '', "confidence": 0,
+        annotations.iloc[index].to_dict() if index < len(annotations) else {"sample_id": row["SAMPLE ID"], "emotion": 'Blank', "confidence": 0,
                                                                             "comments": ''}
     )
     return (sentence, audio_path, previous_annotation['emotion'], previous_annotation['confidence'], current_index['index'] + 1, previous_annotation["comments"])
 
 
-def save_annotation(emotions, confidence, comments):
+def save_annotation(emotions, confidence, comments, participant_id):
     """Save the annotation for the current example."""
 
     idx = current_index["index"]
@@ -74,38 +80,48 @@ def save_annotation(emotions, confidence, comments):
     else:
         annotations.loc[len(annotations)] = [sample_id, sentence, emotions, confidence, comments]
         ann_completed.value += 1
-    annotations.to_csv("annotations.csv", index=False)  # Save to a CSV file
+    annotations.to_csv(f"{participant_id}_annotations.csv", index=False)  # Save to a CSV file
     
 
-def next_example(emotions, confidence, comments):
+def next_example(emotions, confidence, comments, participant_id):
     """Move to the next example."""
     if emotions == "Blank":
-        raise gr.Warning("Please fill out the emotion section")
+        gr.Warning("Please fill out the emotion section")
     else:
         
-        save_annotation(emotions, confidence, comments)
+        save_annotation(emotions, confidence, comments, participant_id)
         if current_index["index"] < len(file_list) - 1:
             current_index["index"] += 1
     return load_example(current_index["index"])
 
-def previous_example(emotion, confidence, comments):
+def previous_example(emotion, confidence, comments, participant_id):
     """Move to the previous example."""
     if emotion.value != "Blank":
-        save_annotation(emotion, confidence, comments)
+        save_annotation(emotion, confidence, comments, participant_id)
         if current_index["index"] > 0:
             current_index["index"] -= 1
             return load_example(current_index["index"])
         return load_example(current_index["index"])
 
+def deactivate_participant_id(participant_id, lets_go):
+    participant_id = gr.Textbox(label='What is your participant ID?', value = participant_id, interactive = False)
+    lets_go = gr.Button("Participant selected!", interactive = False)
+    return participant_id, lets_go
 
+def activate_elements(emotions, confidence, comments, next_button, previous_button):
+    emotions = gr.Radio(["Blank", "Joy", "Sad", "Angry", "Neutral"], label="Predominant Emotion", value = "Blank", interactive = True)
+    confidence = gr.Slider(label="Confidence (%)", minimum=0, maximum=100, step=10, interactive = True)
+    comments = gr.Textbox(label="Comments", interactive=True)
+    previous_button = gr.Button("Previous Example", interactive = True)
+    next_button = gr.Button("Next Example", interactive = True)
+
+    return emotions, confidence, comments, next_button, previous_button
 # ===================
 # Gradio Interface
 # ===================
-audio_path = 'test.mp3'
+
 
 with (gr.Blocks(theme=gr.themes.Soft(), css = css) as demo):
-    participant_id = gr.Textbox(label='What is your participant ID?', interactive = True)
-    lets_go = gr.Button("Let's go!")
     
     ann_completed = gr.Number(1, visible=False)
     total = gr.Number(total_annotations, visible=False)
@@ -114,60 +130,63 @@ with (gr.Blocks(theme=gr.themes.Soft(), css = css) as demo):
     gr.HTML("""
     <div id="myProgress">
     <div id="myBar">
-    <span id="progressText">Completed: /</span> 
+    <span id="progressText">Press "Let's go!" to start</span> 
     </div>
     </div>""")
 
     # Row with audio player
     with gr.Row():
-        audio_player = gr.Audio(value=audio_path, label="Audio", type="filepath", interactive=False, visible=False)
+        audio_player = gr.Audio(value= 'test.mp3', label="Audio", type="filepath", interactive=False)
 
     # Hidden row with corresponding sentence
     with gr.Row():
         accordion = gr.Accordion(label="Click to see the sentence", open=False)
         with accordion:
-            sentence_text = gr.Textbox(label="Sentence", interactive=False)
-
+            sentence_text = gr.Textbox(label="Transcription", interactive=False, value = 'This is a sentence.')
     # Row for emotion annotation and confidence
     with gr.Row():        
-        emotions = gr.Radio(["Blank", "Joy", "Sad", "Angry", "Neutral"], label="Predominant Emotion", value = "Blank")
+        emotions = gr.Radio(["Blank", "Joy", "Sad", "Angry", "Neutral"], label="Predominant Emotion", value = "Blank", interactive = False)
 
     with gr.Row():    
-        confidence = gr.Slider(label="Confidence (%)", minimum=0, maximum=100, step=10)
+        confidence = gr.Slider(label="Confidence (%)", minimum=0, maximum=100, step=10, interactive = False)
     # Instructions for emotion annotation
     with gr.Sidebar():
-        happy_words = gr.Textbox(label = "Happy")
+        participant_id = gr.Textbox(label='What is your participant ID?', interactive = True)
+        lets_go = gr.Button("Let's go!")
+        #happy_words = gr.Textbox(label = "Happy")
     
 
+    with gr.Row():
+        # Comment section
+        comments = gr.Textbox(label="Comments", interactive=False)
+        
     # Next and Previous Buttons
     with gr.Row():
-        previous_button = gr.Button("Previous Example")
-        next_button = gr.Button("Next Example")
-
-
-    # Comment section
-    comments = gr.Textbox(label="Comments", interactive=True)
-    
-    
+        previous_button = gr.Button("Previous Example", interactive = False)
+        next_button = gr.Button("Next Example", interactive = False)
 
     # Go back
     previous_button.click(
         previous_example,
-        inputs=[emotions, confidence, comments],
+        inputs=[emotions, confidence, comments, participant_id],
         outputs=[sentence_text, audio_player, emotions, confidence, ann_completed, comments],
     )
 
     # Go to the next example
     next_button.click(
         next_example,
-        inputs=[emotions, confidence, comments],
+        inputs=[emotions, confidence, comments, participant_id],
         outputs=[sentence_text, audio_player, emotions, confidence, ann_completed, comments],
     )
-
     #Update progress bar
     next_button.click(None, [], [ann_completed, total], js = js_progress_bar)
     
-    lets_go.click(load_example, inputs = [gr.Number(current_index["index"], visible = False)], outputs = [sentence_text, audio_playe, emotions, confidence, ann_completed, comments])
+    
+    lets_go.click(None, [], [ann_completed, total], js = js_progress_bar)
+    lets_go.click(deactivate_participant_id, [participant_id, lets_go], [participant_id, lets_go])
+    lets_go.click(activate_elements, [emotions, confidence, comments, next_button, previous_button], [emotions, confidence, comments, next_button, previous_button])
+    lets_go.click(load_example, inputs = [gr.Number(current_index["index"], visible = False)], outputs = [sentence_text, audio_player, emotions, confidence, ann_completed, comments])
+
     
 demo.launch()
 

io_annotations.csv

@@ -0,0 +1,3 @@
+sample_id,sentence,emotion,confidence,comments
+007-0023,I was mostly hanging out in East Village in the clubs.,Neutral,0,
+007-0034,"And we became friends, and then he told me that his lover had died of AIDS.",Neutral,0,