first iteration - basic chatbot with gift giving personality

app.py

@@ -2,29 +2,40 @@ import gradio as gr
 import random
 from huggingface_hub import InferenceClient
 
-client = InferenceClient("Qwen/Qwen2.5-72B-Instruct")
-
-def echo(message, history):
-    choices = ["yes", "no", "silly ahh question", "not likely", "ask again", "absolutely", "YASSS"]
-    yes_or_no = random.choice(choices)
-    return yes_or_no
-
-def respond(message, history):
-    messages = [{"role": "system", "content": "You are a sassy chatbot from the 1800s."}]
+client = InferenceClient('Qwen/Qwen2.5-72B-Instruct')
+#client is where you can change the LLM model!
+def respond(message,history):
+    messages = [{'role': 'system', 'content': 'You give really good gift ideas and are super helpful! You also tell me the price of each item.'}]
     if history:
         messages.extend(history)
+
     messages.append({"role": "user", "content": message})
-    
+
     response = ""
     for message in client.chat_completion(
+        #max_tokens controls how many words your responses is 
         messages,
-        max_tokens = 100,
+        max_tokens = 1000,
         stream = True,
+        
+        #temperature = 0.8, #code a decimal between 0-2
+        #top_p = .65 #code a decimal between 0-1
     ):
         token = message.choices[0].delta.content
         response += token
         yield response
+    #print(response["choices"][0]["message"]["content"].strip())
     
-chatbot = gr.ChatInterface(respond, type = "messages")
+    #yield response["choices"][0]["message"]["content"].strip()
+
+
+def echo(message,history):
+    choices = ['It is certain','It is decidedly so', 'Without a doubt','Yes-definitely','You may rely on it','As I see it, yes','Most Likely',
+               'Outlook good.','Yes','Signs point to yes','Dont count on it','My reply is no'
+              'No.','very doubtful','ask again','cannot predict now','better not tell you now']
+               
+    random_message = random.choice(choices)
+    return random_message
+chatbot = gr.ChatInterface(respond, type='messages')
 
-chatbot.launch()
+chatbot.launch(debug=True)