Using Facebook blenderbot for conversational chatbot

app.py

@@ -1,50 +1,16 @@
-from huggingface_hub import InferenceClient
+from transformers import pipeline
+from transformers import Conversation
 import gradio as gr
 
-client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
+message_list = []
+response_list = []
 
-def format_prompt(message, history, system_prompt=None):
-    prompt = "<s>"
-    for user_prompt, bot_response in history:
-        prompt += f"[INST] {user_prompt} [/INST]"
-        prompt += f" {bot_response}</s> "
-    if system_prompt:
-        prompt += f"[SYS] {system_prompt} [/SYS]"
-    prompt += f"[INST] {message} [/INST]"
-    return prompt
+chatbot = pipeline("conversational", model = "facebook/blenderbot-400M-distill")
 
-def generate(
-    prompt, history, system_prompt=None, temperature=0.2, max_new_tokens=1024, top_p=0.95, repetition_penalty=1.0,
-):
-    temperature = float(temperature)
-    if temperature < 1e-2:
-        temperature = 1e-2
-    top_p = float(top_p)
+def vanilla_chatbot(message, history):
+    conversation = Conversation(text = message, past_user_inputs = message_list, generated_responses = response_list)
+    conversation = chatbot(conversation)
+    return conversation.generate_response[-1]
 
-    generate_kwargs = dict(
-        temperature=temperature,
-        max_new_tokens=max_new_tokens,
-        top_p=top_p,
-        repetition_penalty=repetition_penalty,
-        do_sample=True,
-        seed=42,
-    )
-
-    formatted_prompt = format_prompt(prompt, history, system_prompt)
-
-    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
-    output = ""
-
-    for response in stream:
-        output += response.token.text
-        yield output
-    return output
-
-mychatbot = gr.Chatbot( bubble_full_width=False, show_label=False, show_copy_button=True, likeable=True,)
-
-demo = gr.ChatInterface(
-    fn=generate,
-    chatbot=mychatbot
-)
-
-demo.queue().launch(show_api=False)
+demo_chatbot = gr.ChatInterface(vanilla_chatbot, title = "Vanilla Chatbot", description = "Enter text to start chatting.")
+demo_chatbot.launch()