Update app.py

app.py

@@ -1,16 +1,27 @@
+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):
-    return f"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,  
+    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 HuggingFace 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 
+    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.load("models/microsoft/DialoGPT-medium")
 interface.launch()