Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from dataset_recommender import DatasetRecommender
+
+db_lookup = DatasetRecommender()
+def predict(input_text, option):
+
+    if option == "Semantic search":
+
+        response = db_lookup.recommend_based_on_text(input_text)
+        output = f"Message: {response['message']} \n Datasets: {', '.join([x for x in response['datasets']])}"
+    elif option == 'Dataset similarity':
+        response = db_lookup.get_similar_datasets(input_text)
+        output = f"Similar Datasets: {', '.join([x for x in response['datasets']])}"
+
+    else:
+        output = "Please select an option"
+    return output
+
+input_type = gr.inputs.Textbox(label="Input Text")
+checkbox = gr.inputs.Radio(["Semantic search", "Dataset similarity"], label="Please select search type:")
+iface = gr.Interface(fn=predict, inputs=[input_type, checkbox], outputs="text", title="SearchingFace")
+
+iface.launch()