Add application file

app.py

@@ -0,0 +1,36 @@
+import random
+
+import gradio as gr
+import torch
+from transformers import AutoTokenizer, AutoModelWithLMHead
+
+tokenizer = AutoTokenizer.from_pretrained("cedpsam/chatbot_fr")
+
+model = AutoModelWithLMHead.from_pretrained("cedpsam/chatbot_fr")
+global_history=[]
+def chat(message, history):
+
+    history = history or global_history
+    prev="\n".join([""f"{a}\n{b}" for a ,b in global_history])
+    bot_input_ids=tokenizer.encode(f"{prev}\n {message}" + tokenizer.eos_token, return_tensors='pt')
+    chat_history_ids = model.generate(
+        bot_input_ids, max_length=80,
+        pad_token_id=tokenizer.eos_token_id,
+        top_p=0.92, top_k = 50,
+        num_beams =8,
+        max_time=20
+    )
+    response=tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)
+    history.append((message, response))
+    
+    return history, history
+
+
+iface = gr.Interface(
+    chat,
+    ["text", "state"],
+    ["chatbot", "state"],
+    allow_screenshot=False,
+    allow_flagging="never",
+)
+iface.launch()