fix example maybe

app.py

@@ -2,19 +2,32 @@ import os
 import gradio as gr
 from groq import Groq
 
-# Set your API key using an environment variable
-api_key = os.getenv("GROQ_API_KEY")
+# Generic example prompts
+EXAMPLES = [
+    {"role": "assistant", "content": "Here are some example questions you can ask:"},
+    {"role": "user", "content": "How did the Leaning Tower of Pisa start leaning?"},
+    {"role": "user", "content": "Who built the Colosseum?"},
+    {"role": "user", "content": "What caused the fall of the Roman Empire?"},
+    {"role": "user", "content": "When did World War II begin and end?"},
+    {"role": "user", "content": "What was the significance of the Magna Carta?"},
+    {"role": "user", "content": "Who was the first person to step on the moon?"},
+]
 
+# Using Groq AI API
+api_key = os.getenv("GROQ_API_KEY")
 if not api_key:
     raise ValueError("GROQ_API_KEY is not set. Please set it as an environment variable.")
-
-# Initialize Groq client
 client = Groq(api_key=api_key)
 
 def generate_reply(user_input, chat_history):
+    '''
+    Generates a reply to the user's input prompt
+    '''
+    # Keep a history of the chat
     if chat_history is None:
         chat_history = []
     
+    # Basic ruleset for Groq AI to follow
     conversation = [{"role": "system", "content": (
         "Determine the language of the user's question and respond in the same language. "
         "Users may switch between English and French, so maintain consistency. "
@@ -23,15 +36,15 @@ def generate_reply(user_input, chat_history):
         "(or the equivalent in French, depending on the input language). Then stop responding."
     )}]
 
+    # Distinguishing between user and AI messages in conversation history
     for entry in chat_history:
         if entry["role"] == "user":
             conversation.append({"role": "user", "content": entry["content"]})
         elif entry["role"] == "assistant":
             conversation.append({"role": "assistant", "content": entry["content"]})
-
-
     conversation.append({"role": "user", "content": user_input})
     
+    # Generating latest response
     try:
         response = client.chat.completions.create(
             model="llama3-70b-8192",
@@ -39,44 +52,29 @@ def generate_reply(user_input, chat_history):
             temperature=0.7,
             max_completion_tokens=512,
             top_p=0.95,
-            stream=False,
+            stream=True,
             stop=None,
         )
         reply = response.choices[0].message.content or "..."
     except Exception as error:
         reply = f"Error: {error}"
     
+    # Appending latest prompt and response to conversation history
     chat_history.append({"role": "user", "content": user_input})
     chat_history.append({"role": "assistant", "content": reply})
     return chat_history, chat_history, ""
 
+def reset_conversation():
+    return EXAMPLES
+
+# UI
 with gr.Blocks() as interface:
     gr.Markdown("## History Chatbot")
-    chatbot = gr.Chatbot(type="messages")
-    state = gr.State([])
+    chatbot = gr.Chatbot(value=EXAMPLES, type="messages")
+    state = gr.State(EXAMPLES)
     user_input = gr.Textbox(placeholder="Enter your question here...")
     send_button = gr.Button("Send")
     
-    examples=[
-        ["How did the Leaning Tower of Pisa start leaning?"],
-        ["Comment la tour de Pise a-t-elle commencé à pencher ?"],
-        ["Who built the Colosseum?"],
-        ["Qui a construit le Colisée ?"],
-        ["What caused the fall of the Roman Empire?"],
-        ["Quelles sont les causes de la chute de l'Empire romain ?"],
-        ["When did World War II begin and end?"],
-        ["Quand la Seconde Guerre mondiale a-t-elle commencé et terminé ?"],
-        ["What was the significance of the Magna Carta?"],
-        ["Quelle est l'importance de la Magna Carta ?"],
-        ["Who was the first person to step on the moon?"],
-        ["Qui était la première personne à marcher sur la lune?"]
-    ]
-    
-    gr.Examples(
-        examples=examples,
-        inputs=user_input
-    )
-
     send_button.click(
         fn=generate_reply,
         inputs=[user_input, state],
@@ -84,7 +82,10 @@ with gr.Blocks() as interface:
     )
 
     reset_button = gr.Button("New Conversation")
-    reset_button.click(lambda: [], outputs=[state])
+    reset_button.click(
+        fn=reset_conversation,
+        outputs=[chatbot, state]
+    )
 
 if __name__ == "__main__":
     interface.launch(share=True)