Create app.py

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+
+# Assuming `my_gpt_model` is your custom model's function that takes a date range and a ticker and returns a string.
+def predict_with_gpt(start_date, end_date, ticker):
+    # Your model would use the start_date, end_date, and ticker to generate a prediction.
+    # For this example, we'll just return a dummy string.
+    prediction = ", ".join([start_date, end_date, ticker])
+    return prediction
+
+# Create the Gradio app
+def create_gradio_app():
+    with gr.Blocks() as app:
+        gr.Markdown("Enter a range of dates and a stock ticker to get predictions from the GPT model.")
+        with gr.Row():
+            start_date = gr.Date(label="Start Date")
+            end_date = gr.Date(label="End Date")
+        ticker = gr.Textbox(label="Ticker")
+        output = gr.Textbox(label="GPT Model Output")
+
+        # When the button is clicked, the `predict_with_gpt` function is called
+        gr.Button("Predict").click(
+            predict_with_gpt, 
+            inputs=[start_date, end_date, ticker], 
+            outputs=output
+        )
+
+    return app
+
+app = create_gradio_app()
+app.launch()