Temp checkin, to check if state can be updated via API

app.py

@@ -8,12 +8,12 @@ client = InferenceClient(api_key=api_key)
 # Create shared state for the textbox values
 class State:
     def __init__(self):
-        self.context = ""
-        self.question = ""
+        self.context = "This Adrega component is designed to answer questions provided by API"
+        self.question = "What does this component do?"
 
 state = State()
 
-def analyze(project_data, question):
+'''def analyze(project_data, question):
     try:
         prompt = f"Analyze this project: {project_data}\n\nQuestion: {question}"
 
@@ -38,12 +38,13 @@ def analyze(project_data, question):
     except Exception as e:
         print(f"Error details: {str(e)}")
         yield f"Error occurred: {str(e)}"
+'''
 
 # Function to update textbox values
 def update_values(context, question):
     state.context = context
     state.question = question
-    return state.context, state.question
+    #return [state.context, state.question]
     
 with gr.Blocks() as iface:
     # Create the components with the state values
@@ -55,16 +56,18 @@ with gr.Blocks() as iface:
     analyze_btn = gr.Button("Analyze")
     
     # Connect the analyze function
-    analyze_btn.click(
-        fn=analyze,
-        inputs=[project_data, question],
-        outputs=output
+    #analyze_btn.click(
+    #    fn=analyze,
+    #    inputs=[project_data, question],
+    #    outputs=output
+    #)
+    update_btn.click(
+        fn=update_values,
+        inputs=['test1', 'test2']
     )
     
-    # Create an API endpoint for updating values
-    iface.load(fn=lambda: (state.context, state.question), outputs=[project_data, question])
-    gr.on(triggers=["update_values"], fn=update_values)
-
+    # Add API endpoint for updating values
+    iface.add_api_route("/update_values", update_values, methods=["POST"])
 
 # Configure for external access
 iface.launch(