Update app.py

app.py

@@ -1,16 +1,27 @@
 import modelbit
 import pandas as pd
 import gradio as gr
+
 def recommend(movie_name):
     response_json = modelbit.get_inference(
         region="ap-south-1",
         workspace="mustafaansari",
         deployment="recommend",
-        data= movie_name
+        data=movie_name
     )
     data_list = response_json['data']
     df = pd.DataFrame(data_list)
-    return df
-gr.Interface(fn=recommend, inputs="text", outputs="dataframe",title="Hollywood Movie Recommendation System",
-    description="Enter a Hollywood movie name, and this system will recommend similar movies based on your input."
-).launch()
+    return df.to_dict(orient='records')
+
+# Add an example for the UI
+examples = [
+    ["The Dark Knight"],
+    ["Inception"],
+    ["Interstellar"],
+    ["Aliens vs Predator: Requiem"]
+]
+
+gr.Interface(fn=recommend, inputs="text", outputs="json", title="Hollywood Movie Recommendation System",
+    description="Enter a Hollywood movie name, and this system will recommend similar movies based on your input.",
+    examples=examples  # Add examples to the UI
+).launch()