started personality quiz

app.py

@@ -1,7 +1,60 @@
 import gradio as gr
+import random
 
-def greet(name):
+def match_europe(scores):
+    a = scores.count("A")
+    b = scores.count("B")
+    c = scores.count("C")
+    if a >= 3:
+        return "Rome"
+    elif b >=3:
+        return "Paris"
+    elif c >= 3:
+        return "London"
+    else:
+        if  a > b and a > c:
+            return "Rome"
+        elif b > a and b > c:
+            return "Paris"
+        elif c > a and c > b:
+            return "London"
+        else:
+            return "Rome"
     return "Hello " + name + "!!"
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+
+
+
+
+
+from huggingface_hub import InferenceClient
+
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+# change the LLM
+
+def respond(message, history):
+
+    messages = [{"role": "system", "content": "You are extremely professional and smart that gives short replies."}]
+    # change the personality of the chatbot
+    if history:
+        messages.extend(history)
+        
+    messages.append({"role" : "user", "content" : message})
+
+    response = ""
+    for message in client.chat_completion(
+        messages, max_tokens = 100, stream=True
+        #temperature= .1, top_p= 0.7)
+        # max tokens = change the length of the response 
+        # temp = between 0-2
+        # top-p =  between 0-1
+    ):
+        token = message.choices[0].delta.content
+        if token:
+            response += token
+        yield response
+    
+chatbot = gr.ChatInterface(respond, type = "messages")
+
+chatbot.launch(debug=True)
+