Update app.py

updated version

app.py

@@ -4,19 +4,22 @@ from transformers import pipeline
 # Load the text generation model
 pipe = pipeline("text-generation", model="microsoft/Phi-3.5-mini-instruct", trust_remote_code=True)
 
-# Define a function for emoji guessing game
-def emoji_game(user_guess):
-    # Messages to send to the model
-    messages = [
-        {"role": "user", "content": f"Guess the word or phrase represented by these emojis: 🍎👩‍🌾🚪🪞."},
-        {"role": "user", "content": user_guess},
-    ]
-    
-    # Generate response from the model
-    response = pipe(messages)
-    
-    # Process the response (for simplicity, let's just return the generated text)
-    return response[0]['generated_text']
+# Define a function to start the emoji game
+def emoji_game(user_guess=""):
+    if user_guess == "":  # If no guess yet, LLM asks the question first
+        # LLM generates the first emoji sequence
+        messages = [
+            {"role": "user", "content": "Give me an emoji-based puzzle for a word or phrase guessing game."}
+        ]
+        response = pipe(messages)
+        return response[0]['generated_text']  # Return the generated emoji puzzle
+    else:
+        # After the user makes a guess, the LLM evaluates the guess
+        messages = [
+            {"role": "user", "content": f"Guess the word or phrase represented by these emojis: {user_guess}."}
+        ]
+        response = pipe(messages)
+        return response[0]['generated_text']
 
 # Create a Gradio interface
 interface = gr.Interface(
@@ -24,7 +27,7 @@ interface = gr.Interface(
     inputs="text",  # Input widget (user types their guess)
     outputs="text",  # Output widget (display model response)
     title="Guess the Word from Emojis",
-    description="Try to guess the word or phrase represented by the emojis. Example: 🐍🧙⚡ = Harry Potter."
+    description="The LLM will first present an emoji puzzle, and you try to guess the word or phrase."
 )
 
 # Launch the interface