Update app.py

add download button

app.py

@@ -99,6 +99,13 @@ def save_feedback(img_hash, model_prediction, user_feedback, confidence):
         df_new.to_csv(FEEDBACK_FILE, index=False)
     return "✅ Vielen Dank für dein Feedback!"
 
+# Download Funktion
+def download_feedback():
+    if os.path.exists(FEEDBACK_FILE):
+        return FEEDBACK_FILE
+    else:
+        return None
+
 # Kombinierte Funktion
 def full_pipeline(image, user_feedback):
     prediction, confidence_text, top3, fig, img_hash = predict_emotion(image)
@@ -112,6 +119,7 @@ with gr.Blocks() as interface:
             image_input = gr.Image(type="pil", label="Lade dein Bild hoch")
             feedback_input = gr.Dropdown(choices=labels, label="Dein Feedback: Was ist die richtige Emotion?")
             submit_btn = gr.Button("Absenden")
+            download_btn = gr.Button("Feedback-Daten herunterladen")
         with gr.Column():
             prediction_output = gr.Textbox(label="Vorhergesagte Emotion")
             confidence_output = gr.Textbox(label="Confidence + Einschätzung")
@@ -125,4 +133,10 @@ with gr.Blocks() as interface:
         outputs=[prediction_output, confidence_output, top3_output, plot_output, feedback_message_output]
     )
 
+    download_btn.click(
+        fn=download_feedback,
+        inputs=[],
+        outputs=[gr.File()]
+    )
+
 interface.launch()