Update

app.py

@@ -20,12 +20,11 @@ from llama_index.vector_stores.chroma import ChromaVectorStore
 
 load_dotenv()
 
-title = "Gaia Mistral 8x7b Chat RAG PDF Demo"
+title = "AgreenDefi Gaia 8x22b PDF Demo"
 description = "Example of an assistant with Gradio, RAG from PDF documents and Mistral AI via its API"
 placeholder = (
     "Vous pouvez me posez une question sur ce contexte, appuyer sur Entrée pour valider"
 )
-placeholder_url = "Extract text from this url"
 llm_model = "open-mixtral-8x22b"
 
 env_api_key = os.environ.get("MISTRAL_API_KEY")
@@ -96,24 +95,24 @@ def load_document(input_file):
 
 with gr.Blocks() as demo:
     gr.Markdown(
-        """ # Welcome to Gaia Level 3 Demo 
+        """ # Bienvenue sur la démo AgreenDefi PDF 
     
-        Add a file before interacting with the Chat.
-        This demo allows you to interact with a pdf file and then ask questions to Mistral APIs.
-        Mistral will answer with the context extracted from your uploaded file.
+        Ajouter un fichier avant de poser une question sur le tchat.
+        Cette démo vous permet d'interagir entre des fichiers PDF et Mistral AI via son API.
+        Mistral va répondre à vos questions par rapport au document.
 
         *The files will stay in the database unless there is 48h of inactivty or you re-build the space.*
         """
     )
 
-    gr.Markdown(""" ### 1 / Extract data from PDF """)
+    gr.Markdown(""" ### 1 / Préparer les données """)
 
     with gr.Row():
         with gr.Column():
             input_file = gr.File(
-                label="Load a pdf",
+                label="Charger des fichiers pdf",
                 file_types=[".pdf"],
-                file_count="single",
+                file_count="multiple",
                 type="filepath",
                 interactive=True,
             )
@@ -131,15 +130,15 @@ with gr.Blocks() as demo:
             )
 
             help_msg = gr.Markdown(
-                value="Once the document is loaded, press the Encode button below to add it to the db."
+                value="Quan le document est chargé, Appuyer sur Encode pour l'ajouter dans la base de données."
             )
 
-            file_btn = gr.Button(value="Encode file ✅", interactive=True)
+            file_btn = gr.Button(value="Encoder les fichiers ✅", interactive=True)
             btn_msg = gr.Textbox(container=False, visible=False)
 
             with gr.Row():
                 db_list = gr.Markdown(value=get_documents_in_db)
-                delete_btn = gr.Button(value="Empty db 🗑️", interactive=True, scale=0)
+                delete_btn = gr.Button(value="Vider la base 🗑️", interactive=True, scale=0)
 
             file_btn.click(
                 load_file,
@@ -149,7 +148,7 @@ with gr.Blocks() as demo:
             )
             delete_btn.click(empty_db, outputs=[db_list], show_progress="minimal")
 
-    gr.Markdown(""" ### 2 / Ask a question about this context """)
+    gr.Markdown(""" ### 2 / Poser une question selon le contexte """)
 
     chatbot = gr.Chatbot()
     msg = gr.Textbox(placeholder=placeholder)