Upload app.py

app.py

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+from langchain.chat_models import ChatOpenAI
+from langchain.schema import HumanMessage
+from dotenv import load_dotenv
+import streamlit as st
+import os
+
+load_dotenv()
+
+
+#function to load openAI model and get response
+
+def get_model_response(question):
+    llm=ChatOpenAI(
+        base_url = "https://openrouter.ai/api/v1",
+        openai_api_key = os.getenv("OPENROUTE_API_KEY"),
+        model= "deepseek/deepseek-r1-zero:free",
+        temperature=0.4
+    )
+    response = llm.invoke([HumanMessage(content=question)])
+    return response
+
+st.set_page_config(page_title="Chat With your love ❤️")
+
+st.header("Langchain Application")
+
+input = st.text_input("Input: ", key=input)
+response = get_model_response(input)
+submit = st.button("Ask")
+
+if submit:
+    st.subheader("the Response is: ")
+    st.write(response.content)