Upload Gradio app for mental health analysis

app.py

@@ -1,17 +1,30 @@
+# import gradio as gr
+# from transformers import pipeline
+
+# # Load your model from Hugging Face
+# classifier = pipeline("text-classification", model="coldnasser/depression-anxiety-mindscape")
+
+# # Define the prediction function
+# def predict(text):
+#     return classifier(text)
+
+# # Create the Gradio interface
+# gr.Interface(
+#     fn=predict,
+#     inputs="text",
+#     outputs="label",
+#     title="Mindscape AI Therapist"
+# ).launch()
+
 import gradio as gr
 from transformers import pipeline
 
-# Load your model from Hugging Face
 classifier = pipeline("text-classification", model="coldnasser/depression-anxiety-mindscape")
 
-# Define the prediction function
 def predict(text):
-    return classifier(text)
+    try:
+        return classifier(text)
+    except Exception as e:
+        return f"Error: {str(e)}"
 
-# Create the Gradio interface
-gr.Interface(
-    fn=predict,
-    inputs="text",
-    outputs="label",
-    title="Mindscape AI Therapist"
-).launch()
+gr.Interface(fn=predict, inputs="text", outputs="text", title="Mindscape").launch()