Create app.py

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from langchain.llms import Ollama
+
+llm = Ollama(model="deepseek-r1:1.5b")
+
+def query_model(prompt: str) -> str:
+    """
+    Uses LangChain's Ollama integration to process the input prompt.
+    """
+    response = llm(prompt)
+    return response
+
+iface = gr.Interface(
+    fn=query_model,
+    inputs="text",
+    outputs="text",
+    title="Ollama via LangChain & Gradio",
+    description="Enter a prompt to interact with the Ollama-based model."
+)
+
+if __name__ == "__main__":
+    iface.launch(server_name="0.0.0.0", server_port=8080)