Create .app.py

.app.py

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+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, Conversation
+
+# Load DialoGPT-medium model and tokenizer
+tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-medium")
+model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-medium")
+
+def chatbot(input_text):
+    # Tokenize input text
+    input_ids = tokenizer.encode(input_text + tokenizer.eos_token, return_tensors="pt")
+
+    # Generate response
+    response_ids = model.generate(input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id)
+
+    # Decode and return response
+    response_text = tokenizer.decode(response_ids[:, input_ids.shape[-1]:][0], skip_special_tokens=True)
+    return response_text
+
+# Interface
+iface = gr.Interface(
+    fn=chatbot,
+    inputs=gr.Textbox(lines=2, label="Input"),
+    outputs="text",
+    title="Chat with DialoGPT-medium"
+)
+
+iface.launch()