new theme and reading the file

app.py

@@ -4,19 +4,18 @@ from dotenv import load_dotenv
 import gradio as gr
 from huggingface_hub import InferenceClient
 import chardet
+import re
 
 load_dotenv()
 
-# Récupérez le token à partir de la variable d'environnement
 hftoken = os.environ.get("HF_TOKEN")
 
 from huggingface_hub import login
+login(token=hftoken)
 
-login(token = hftoken)
 
-# Utilisez le token pour initialiser le client
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta", token=hftoken)
 
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta", token=hftoken)
 file_content = None
 
 def respond(message, history, system_message, max_tokens, temperature, top_p, file=None):
@@ -35,13 +34,16 @@ def respond(message, history, system_message, max_tokens, temperature, top_p, fi
 
     if file:
         try:
-            file_content = file.decode("utf-8")
-        except UnicodeDecodeError:
-            result = chardet.detect(file)
-            encoding = result['encoding']
-            file_content = file.decode(encoding, errors='ignore')
+            if isinstance(file, bytes):
+                result = chardet.detect(file)
+                encoding = result['encoding']
+                file_content = file.decode(encoding, errors='ignore')
+            else:
+                file_content = file
+        except Exception as e:
+            file_content = f"Erreur de décodage du fichier : {e}"
 
-    if "contenu du fichier" in message.lower() and file_content:
+    if re.search(r"contenu du fichier|afficher le fichier|lire le fichier|voir le fichier| donnée du fichier", message.lower()) and file_content:
         response += f"Contenu du fichier :\n{file_content}"
         yield response
         return
@@ -57,18 +59,25 @@ def respond(message, history, system_message, max_tokens, temperature, top_p, fi
         response += token
         yield response
 
-with gr.Blocks() as demo:
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# Chatbot Interface")
     gr.Image(value="logo-gaia.png", label="Logo")
-    gr.ChatInterface(
-        respond,
-        additional_inputs=[
-            gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-            gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-            gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-            gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
-            gr.File(label="Télécharger un fichier", type="binary"),
-        ],
-    )
+
+    with gr.Row():
+        with gr.Column():
+            gr.Markdown("## Paramètres")
+            system_message = gr.Textbox(value="You are a friendly Chatbot.", label="System message")
+            max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
+            temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
+            top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
+            file_upload = gr.File(label="Télécharger un fichier", type="binary")
+
+        with gr.Column():
+            gr.Markdown("## Chat")
+            chatbot = gr.ChatInterface(
+                respond,
+                additional_inputs=[system_message, max_tokens, temperature, top_p, file_upload],
+            )
 
 if __name__ == "__main__":
     demo.launch()