Create app.py

app.py

@@ -0,0 +1,44 @@
+#https://python.langchain.com/docs/how_to/binding/
+import gradio as gr
+from langchain_openai import ChatOpenAI
+from langchain_core.prompts import ChatPromptTemplate
+
+def process_with_binding(text, stop_word, api_key):
+    try:
+        # Initialize the model
+        model = ChatOpenAI(
+            openai_api_key=api_key,
+            model="gpt-4o-mini"
+        )
+        
+        # Create prompt template
+        prompt = ChatPromptTemplate.from_template(
+            "Write a story about {text}. Make it detailed."
+        )
+        
+        # Create chain with binding
+        chain = prompt | model.bind(stop=stop_word)
+        
+        # Get response
+        response = chain.invoke({"text": text})
+        
+        return response.content
+        
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Create Gradio interface
+demo = gr.Interface(
+    fn=process_with_binding,
+    inputs=[
+        gr.Textbox(label="Topic for story", placeholder="Enter a topic..."),
+        gr.Textbox(label="Stop Word", placeholder="Enter a word to stop generation"),
+        gr.Textbox(label="OpenAI API Key", type="password")
+    ],
+    outputs=gr.Textbox(label="Generated Story"),
+    title="LangChain Binding Demo",
+    description="Generate a story that stops at a specific word"
+)
+
+if __name__ == "__main__":
+    demo.launch()