Create app.py

app.py

@@ -0,0 +1,33 @@
+import gradio as gr
+from langchain_openai import ChatOpenAI
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.output_parsers import StrOutputParser
+from langchain_community.llms import Ollama
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+os.environ["LANGCHAIN_TRACING_V2"] = "true"
+os.environ["LANGCHAIN_API_KEY"] = os.getenv("LANGCHAIN_API_KEY")
+
+# Prompt Template
+prompt = ChatPromptTemplate.from_messages(
+    [
+        ("system", "You are a helpful assistant. Please respond to the user queries"),
+        ("user", "Question:{question}")
+    ]
+)
+
+# ollama LLama2 LLm
+llm = Ollama(model="llama2")
+output_parser = StrOutputParser()
+chain = prompt | llm | output_parser
+
+def chatbot_response(input_text):
+    if input_text:
+        return chain.invoke({"question": input_text})
+    return "Please enter a question."
+
+# Gradio Interface
+gr.Interface(fn=chatbot_response, inputs="text", outputs="text", title="Langchain Demo With LLAMA2 API").launch()