Update app.py

app.py

@@ -1,6 +1,7 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 from djezzy import load_data,mot_cle,pip
+from langchain.embeddings import SentenceTransformerEmbeddings
 
 """
 For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
@@ -8,6 +9,10 @@ For more information on `huggingface_hub` Inference API support, please check th
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 
+model_name = "sentence-transformers/all-MiniLM-L6-v2"
+
+embedding_llm = SentenceTransformerEmbeddings(model_name=model_name)
+
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -44,6 +49,9 @@ def respond(
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
 docs_text, docs_embeddings = load_data()
+question="give me the advantage of djezzy legend for 2500 DA ?"
+prompt=pip(question)
+print(prompt)
 
 demo = gr.ChatInterface(
     respond,