Create app.py

app.py

@@ -0,0 +1,58 @@
+#https://python.langchain.com/docs/how_to/configure/
+import gradio as gr
+from langchain_openai import ChatOpenAI
+from langchain_core.prompts import PromptTemplate
+from langchain_core.runnables import ConfigurableField
+
+def process_with_config(topic, temperature, mode, api_key):
+    try:
+        # Initialize configurable model
+        model = ChatOpenAI(temperature=0).configurable_fields(
+            temperature=ConfigurableField(
+                id="llm_temperature",
+                name="LLM Temperature",
+                description="Temperature for response generation"
+            )
+        )
+        
+        # Create configurable prompt
+        prompt = PromptTemplate.from_template(
+            "Tell me a {mode} about {topic}"
+        ).configurable_alternatives(
+            ConfigurableField(id="prompt"),
+            default_key="joke",
+            poem=PromptTemplate.from_template("Write a poem about {topic}")
+        )
+        
+        # Create chain
+        chain = prompt | model
+        
+        # Configure and run
+        response = chain.with_config(
+            configurable={
+                "llm_temperature": float(temperature),
+                "prompt": mode
+            }
+        ).invoke({"topic": topic})
+        
+        return response.content
+        
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Create Gradio interface
+demo = gr.Interface(
+    fn=process_with_config,
+    inputs=[
+        gr.Textbox(label="Topic", placeholder="Enter a topic..."),
+        gr.Slider(0, 1, value=0.5, label="Temperature"),
+        gr.Radio(["joke", "poem"], label="Mode", value="joke"),
+        gr.Textbox(label="OpenAI API Key", type="password")
+    ],
+    outputs=gr.Textbox(label="Generated Response"),
+    title="LangChain Configuration Demo",
+    description="Generate content with configurable temperature and mode"
+)
+
+if __name__ == "__main__":
+    demo.launch()