Update app.py

app.py

@@ -93,5 +93,36 @@ def gradio_ui():
         response = requests.post(f'http://localhost:5000/search', json={'query': query})  
         return response.json()  
 
-    def call
- 
+    def call_predict(num_predictions):  
+        response = requests.post(f'http://localhost:5000/predict', json={'num_predictions': num_predictions})  
+        return response.json()  
+
+    def call_economic_data():  
+        response = requests.get('http://localhost:5000/economic_data')  
+        return response.json()  
+
+    with gr.Blocks() as demo:  
+        gr.Markdown("# Economic DataHub")  
+        gr.Markdown("Welcome to the interactive Economic DataHub. Explore economic indicators, make predictions, and access detailed economic data.")  
+        
+        with gr.Tab("Search Economic Indicators"):  
+            search_input = gr.Textbox(label="Search for Economic Terms:", placeholder="Enter an economic term...")  
+            search_button = gr.Button("Search")  
+            search_output = gr.Textbox(label="Results", interactive=False)  
+
+            search_button.click(call_search, inputs=search_input, outputs=search_output)  
+
+        with gr.Tab("Time Series Prediction"):  
+            num_predictions = gr.Slider(minimum=1, maximum=30, step=1, label="Number of Days to Predict")  
+            predict_button = gr.Button("Predict")  
+            prediction_output = gr.Textbox(label="Predictions", interactive=False)  
+
+            predict_button.click(call_predict, inputs=num_predictions, outputs=prediction_output)  
+
+        with gr.Tab("Retrieve Economic Data"):  
+            retrieve_button = gr.Button("Get Economic Data")  
+            data_output = gr.Textbox(label="Economic Data", interactive=False)  
+
+            retrieve_button.click(call_economic_data, outputs=data_output)  
+
+    demo.launch(server_name="0.0.0.0", server_port=7860, share=True)