Created app.py

app.py

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+import gradio as gr
+from gradio_client import Client
+
+
+API_URL = "https://huggingface.co/spaces/rr19tech/PLNB-Model"
+client = Client(API_URL)
+
+# 2. Our "Static" Context
+STATIC_CONTEXT = """
+PLNB breakfast menu consists of idly, dosa
+PLNB lunch menu consistes of dal, rice, roti and curry
+PLNB dinner menu consists of roti and kheer
+"""
+
+def test_rag_client(question, history):
+    # Construct the prompt with the static context
+    prompt = f"""Use the provided context to answer the question.
+Context: {STATIC_CONTEXT}
+Question: {question}
+Answer:"""
+
+    try:
+        # Call the backend API
+        # Ensure your backend uses gr.Interface(fn=chat_api, ...) for /predict
+        result = client.predict(message=prompt, api_name="/chat")
+        return result
+    except Exception as e:
+        return f"Backend Error: {str(e)}"
+
+# Simple UI to test the context
+demo = gr.ChatInterface(
+    fn=test_rag_client, 
+    title="Static Context Test",
+    description="Ask PLNB menu questions"
+)
+
+demo.launch()