Make it possible to update values via API

app.py

@@ -5,6 +5,14 @@ from huggingface_hub import InferenceClient
 api_key = os.getenv("HF_API_KEY")
 client = InferenceClient(api_key=api_key)
 
+# Create shared state for the textbox values
+class State:
+    def __init__(self):
+        self.context = ""
+        self.question = ""
+
+state = State()
+
 def analyze(project_data, question):
     try:
         prompt = f"Analyze this project: {project_data}\n\nQuestion: {question}"
@@ -30,16 +38,33 @@ def analyze(project_data, question):
     except Exception as e:
         print(f"Error details: {str(e)}")
         yield f"Error occurred: {str(e)}"
-        
-iface = gr.Interface(
-    fn=analyze,
-    inputs=[
-        gr.Textbox(label="Project Data", lines=2),
-        gr.Textbox(label="Question", lines=1)
-    ],
-    outputs="text",
-    api_name="analyze"
-)
+
+# Function to update textbox values
+def update_values(context, question):
+    state.context = context
+    state.question = question
+    return state.context, state.question
+    
+with gr.Blocks() as iface:
+    # Create the components with the state values
+    project_data = gr.Textbox(label="Project Data", lines=2, value=lambda: state.context)
+    question = gr.Textbox(label="Question", lines=1, value=lambda: state.question)
+    output = gr.Textbox(label="Output")
+    
+    # Create analyze button
+    analyze_btn = gr.Button("Analyze")
+    
+    # Connect the analyze function
+    analyze_btn.click(
+        fn=analyze,
+        inputs=[project_data, question],
+        outputs=output
+    )
+    
+    # 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)
+
 
 # Configure for external access
 iface.launch(