Create app.py

app.py

@@ -0,0 +1,63 @@
+import os
+from langchain_community.llms import HuggingFaceEndpoint
+from langchain.chains import LLMChain
+from langchain_core.prompts import PromptTemplate
+import gradio as gr
+from langchain_community.chat_message_histories import ChatMessageHistory
+from langchain_core.chat_history import BaseChatMessageHistory
+from langchain_core.runnables.history import RunnableWithMessageHistory
+from langchain_core.messages import HumanMessage
+from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
+
+
+repo_id = "mistralai/Mistral-7B-Instruct-v0.3"  
+llm = HuggingFaceEndpoint(
+      repo_id=repo_id, max_length=128, temperature=0.2
+  )
+
+store = {}
+
+def llm_chain(question, chat_history):  
+
+  def get_session_history(session_id: str) -> BaseChatMessageHistory:
+    if session_id not in store:
+        store[session_id] = ChatMessageHistory()
+    return store[session_id]
+
+
+
+  template = """Question: {question}
+
+  """
+
+  prompt = PromptTemplate.from_template(template)
+
+  chain = prompt | llm
+
+  with_message_history = RunnableWithMessageHistory(chain, get_session_history)
+  config = {"configurable": {"session_id": "abc1"}}
+  response = with_message_history.invoke(
+      [HumanMessage(content=question)],
+      config=config,
+  )
+  chat_history.append((question, response))
+
+  return "", chat_history
+
+
+
+with gr.Blocks() as demo:
+  with gr.Row():
+    with gr.Column():
+      chatbot = gr.Chatbot()
+      msg =  gr.Textbox(interactive=True, )
+      with gr.Row():
+        clear = gr.ClearButton([msg, chatbot], icon="https://img.icons8.com/?size=100&id=Xnx8cxDef16O&format=png&color=000000")
+        send_btn = gr.Button("Send", variant='primary', icon="https://img.icons8.com/?size=100&id=g8ltXTwIfJ1n&format=png&color=000000")        
+      msg.submit(fn=llm_chain, inputs=[msg, chatbot], outputs=[msg, chatbot])
+      send_btn.click(fn=llm_chain, inputs=[msg, chatbot], outputs=[msg, chatbot])
+      
+
+
+if __name__ == "__main__":
+    demo.launch()