practice for lesson 11 generative AI

app.py

@@ -1,11 +1,29 @@
 import gradio as gr
 import random
+from huggingface_hub import InferenceClient
 
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+
+def respond(message, history):
+
+    messages = [{"role": "system", "content": "You are a friendly chatbot.}]
+    if history:
+        messages.extend(history)
+                 
+    messages.append({"role" : "user", "content" : message})
+
+    response = client.chat_completion(messages, max_tokens = 100)
+
+    print(response["choices"][0]["message"]["content"].strip())
+            
+    return response["choices"][0]["message"]["content"].strip()
+                 
 def echo(message, history):
     my_list = ["absolutely", "ask again later", "things are murky", "it's a def yes", "perhaps", "it is decidedly so", "without a doubt", "outlook not so good", "signs point to yes", "signs point to no"]
     return random.choice(my_list) 
 # gr.ChatInterface(echo, type = "messages")
-chatbot = gr.ChatInterface(echo, type="messages", description ="<strong><center>Welcome to your 8 ball.</strong><br>Ask Me Anything", title="Eight Ball")
+            
+chatbot = gr.ChatInterface(respond, type="messages")
 
 
 chatbot.launch()