first try

README.md

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+---
+title: Rick & Morty Block Party
+emoji: 💃
+colorFrom: purple
+colorTo: pink
+sdk: gradio
+sdk_version: 3.0
+app_file: app.py
+pinned: false
+license: apache-2.0
+---

app.py

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+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-medium")
+model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-medium")
+
+
+def predict(input, history=[]):
+    # tokenize the new input sentence
+    new_user_input_ids = tokenizer.encode(
+        input + tokenizer.eos_token, return_tensors="pt"
+    )
+
+    # append the new user input tokens to the chat history
+    bot_input_ids = torch.cat([torch.LongTensor(history), new_user_input_ids], dim=-1)
+
+    # generate a response
+    history = model.generate(
+        bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id
+    ).tolist()
+
+    # convert the tokens to text, and then split the responses into the right format
+    response = tokenizer.decode(history[0]).split("<|endoftext|>")
+    response = [
+        (response[i], response[i + 1]) for i in range(0, len(response) - 1, 2)
+    ]  # convert to tuples of list
+    return response, history
+
+
+import gradio as gr
+
+demo = gr.Blocks()
+
+with demo:
+    gr.Markdown(
+    """
+    ![cover](img/img.png)
+    # Let's start the party with Rick & Morty
+    Chat with Morty by typing in the input box below.
+    """)
+    
+    gr.Interface(
+    fn=predict,
+    theme="default",
+    css=".footer {display:none !important}",
+    inputs=["text", "state"],
+    outputs=["chatbot", "state"],
+                )
+
+demo.launch()

requirements.txt

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+transformers
+torch