Add application file first version

app.py

@@ -1,8 +1,62 @@
 import gradio as gr
+import pandas as pd
+import os
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Folder with your audio files
+AUDIO_FOLDER = "audio_files"
+audio_files = sorted(os.listdir(AUDIO_FOLDER))
+current_index = 0
+
+# CSV to store annotations
+ANNOTATION_FILE = "annotations.csv"
+if not os.path.exists(ANNOTATION_FILE):
+    df = pd.DataFrame(columns=["user_id", "gender", "audio_file", "score"])
+    df.to_csv(ANNOTATION_FILE, index=False)
+
+# Function to save annotation
+def save_annotation(user_id, gender, score):
+    global current_index
+    if current_index >= len(audio_files):
+        return "No more audio files.", None
+    
+    audio_file = audio_files[current_index]
+    
+    # Save to CSV
+    df = pd.read_csv(ANNOTATION_FILE)
+    df = pd.concat([df, pd.DataFrame([{
+        "user_id": user_id,
+        "gender": gender,
+        "audio_file": audio_file,
+        "score": score
+    }])], ignore_index=True)
+    df.to_csv(ANNOTATION_FILE, index=False)
+    
+    current_index += 1
+    if current_index < len(audio_files):
+        next_audio = os.path.join(AUDIO_FOLDER, audio_files[current_index])
+    else:
+        next_audio = None
+    
+    return "Saved! Next audio loaded." if next_audio else "All audios completed.", next_audio
+
+# Gradio interface
+with gr.Blocks() as demo:
+    with gr.Row():
+        user_id = gr.Textbox(label="User ID")
+        gender = gr.Dropdown(label="Gender", choices=["Male", "Female", "Other"])
+    audio_player = gr.Audio(label="Audio File", source="upload", type="filepath")
+    score = gr.Slider(label="MOS Score (1-5)", minimum=1, maximum=5, step=1)
+    submit_btn = gr.Button("Submit Score")
+    status = gr.Textbox(label="Status")
+    
+    submit_btn.click(
+        fn=save_annotation,
+        inputs=[user_id, gender, score],
+        outputs=[status, audio_player]
+    )
+
+# Load first audio
+audio_player.value = os.path.join(AUDIO_FOLDER, audio_files[current_index])
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
 demo.launch()