Create app.py

app.py

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+from groq import Groq
+import gradio as gr
+
+# Initialize the Groq client with your API key
+client = Groq(
+    api_key="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"
+)
+
+# List to maintain the conversation history, starting with a default prompt
+conversation_history = [
+    {"role": "system", "content": "You are an assistant in a trivia game focused on Nigerian music."}
+]
+
+# Function to get the initial LLM output and start the conversation
+def start_trivia_game():
+    # Initial message to start the game
+    initial_message = "Start a Trivia on Nigeria music. Assess the answer and provide the percentage score"
+    
+    # Add the initial message to the conversation history
+    conversation_history.append({"role": "user", "content": initial_message})
+    
+    # Get completion from the LLM for the initial question
+    completion = client.chat.completions.create(
+        model="llama-3.1-70b-versatile",
+        messages=conversation_history,
+        temperature=1,
+        max_tokens=1024,
+        top_p=1,
+        stream=True,
+        stop=None,
+    )
+    
+    llm_output = ""
+    for chunk in completion:
+        llm_output += chunk.choices[0].delta.content or ""
+    
+    # Add the assistant's response to the conversation history
+    conversation_history.append({"role": "assistant", "content": llm_output})
+    
+    return llm_output
+
+# Function to handle user response and continue the conversation
+def continue_trivia_game(user_response):
+    # Add user's response to the conversation history
+    conversation_history.append({"role": "user", "content": user_response})
+    
+    # Get completion from the LLM for the user's response
+    completion = client.chat.completions.create(
+        model="llama-3.1-70b-versatile",
+        messages=conversation_history,
+        temperature=1,
+        max_tokens=1024,
+        top_p=1,
+        stream=True,
+        stop=None,
+    )
+    
+    llm_output = ""
+    for chunk in completion:
+        llm_output += chunk.choices[0].delta.content or ""
+    
+    # Add the assistant's response to the conversation history
+    conversation_history.append({"role": "assistant", "content": llm_output})
+    
+    return llm_output
+
+# Start the game and get the initial LLM output
+initial_output = start_trivia_game()
+
+# Creating Gradio Interface
+llm_output = gr.Textbox(label="LLM Output", placeholder="The output from the LLM will appear here", lines=10, value=initial_output)
+user_response = gr.Textbox(label="Your Response", placeholder="Type your response here", lines=3)
+
+demo = gr.Interface(
+    fn=continue_trivia_game,
+    inputs=user_response,
+    outputs=llm_output,
+    title="TriviaVilla--Nigerian Music Trivia Game",
+    description="How much do you know Nigerian Music? Here is a simple trivia game on Nigerian Music using LLama 3.1",
+)
+
+# Starting the Gradio app
+demo.launch()