Create app.py

the main code based on llm

app.py

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+import gradio as gr
+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']
+
+# Create a Gradio interface
+interface = gr.Interface(
+    fn=emoji_game,  # Function to call when user submits input
+    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."
+)
+
+# Launch the interface
+interface.launch()