Update app.py

app.py

@@ -1,27 +1,2 @@
-from transformers import AutoModelForCausalLM, AutoTokenizer
 import gradio as gr
-import torch
-
-# DialoGPT Modell und Tokenizer laden
-tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-medium")
-model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-medium")
-
-def chat_with_kiki_gpt(user_input):
-    # Benutzereingabe kodieren und Modellantwort generieren
-    input_ids = tokenizer.encode(user_input + tokenizer.eos_token, return_tensors='pt')
-    chat_history_ids = model.generate(input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id)
-    chat_output = tokenizer.decode(chat_history_ids[:, input_ids.shape[-1]:][0], skip_special_tokens=True)
-    
-    return f"KIKI-GPT: {chat_output}"
-
-# Gradio-Benutzeroberfläche
-interface = gr.Interface(
-    fn=chat_with_kiki_gpt,
-    inputs=gr.inputs.Textbox(lines=5, placeholder="Type your message to KIKI-GPT here..."),
-    outputs=gr.outputs.Textbox(),
-    title="KIKI-GPT",
-    description="Welcome to KIKI-GPT - a project on Hugging Face Spaces using Microsoft's DialoGPT. One of the fastest and best performing models for robotics! Created by Keyvan Hardani. For inquiries, contact: [email protected].",
-    live=True
-)
-
-interface.launch()
+gr.Interface.load("models/microsoft/DialoGPT-medium").launch()