Create gradio_app.py

gradio_app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+import requests
+
+# Define the FastAPI endpoint
+API_URL = "http://localhost:8000/predict"  # Update this based on your actual endpoint
+
+def predict(input1, input2, input3, input4, input5, input6, input7):
+    data = {
+        "input1": input1,
+        "input2": input2,
+        "input3": input3,
+        "input4": input4,
+        "input5": input5,
+        "input6": input6,
+        "input7": input7
+    }
+    response = requests.post(API_URL, json=data)
+    return response.json()
+
+# Create a Gradio interface for the inputs and prediction
+iface = gr.Interface(
+    fn=predict,
+    inputs=[gr.inputs.Number(), gr.inputs.Number(), gr.inputs.Number(), gr.inputs.Number(), 
+            gr.inputs.Number(), gr.inputs.Number(), gr.inputs.Number()],
+    outputs="json"
+)
+
+iface.launch()