Create app.py

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+import random
+
+# Model path and loading
+MODEL_PATH = "emojiFinetune"
+tokenizer = AutoTokenizer.from_pretrained(MODEL_PATH)
+model = AutoModelForCausalLM.from_pretrained(MODEL_PATH).to("cuda" if torch.cuda.is_available() else "cpu")
+
+# Emoji brainpower function
+def emojiq_brainpower():  
+    logic = random.randint(40, 100)  
+    emoji_confusion = 100 - logic  
+    caffeine = random.randint(10, 50)  
+    return (  
+        f"🧠 {logic}% logic, {emoji_confusion}% 'Wait... is 🍕 a number?!' 🤔, "  
+        f"and {caffeine}% caffeine boost ☕🚀"  
+    )  
+
+# Function to solve emoji math problem
+def solve_emoji_math(problem, temperature, max_length, top_p):
+    if not problem.strip():
+        return "⚠️ Please enter an emoji math problem to solve.", ""
+    
+    prompt = f"Solve: {problem}\nAnswer:"
+    inputs = tokenizer(prompt, return_tensors="pt").to("cuda" if torch.cuda.is_available() else "cpu")
+    
+    with torch.no_grad():
+        outputs = model.generate(
+            **inputs,
+            max_length=max_length,
+            temperature=temperature,
+            top_p=top_p,
+            do_sample=True
+        )
+    
+    solution = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    solved_text = solution.split("Answer:")[-1].strip()
+    brainpower = emojiq_brainpower()
+    
+    return f"✅ Solution: **{solved_text}**", brainpower
+
+# Gradio interface
+with gr.Blocks(title="EmojIQ - Emoji Math Solver") as interface:
+    gr.Markdown("# 🔢 EmojIQ: Emoji Math Solver")
+    gr.Markdown("### Cracking Emoji Codes, Solving Math with a Smile! 😃➕🎭")
+    gr.Markdown("Enter an emoji math problem, and let EmojIQ solve it! 🤓")
+
+    # Input section
+    problem_input = gr.Textbox(
+        label="📝 Emoji Math Problem",
+        placeholder="e.g., 🍎 + 🍎 + 🍎 = 12",
+        lines=3
+    )
+
+    # Model settings in a column
+    with gr.Row():
+        with gr.Column():
+            temperature = gr.Slider(0.0, 1.5, value=0.7, step=0.1, label="Temperature (0 = logical, 1 = creative)")
+            max_length = gr.Slider(50, 200, value=100, step=10, label="Max Output Length")
+            top_p = gr.Slider(0.0, 1.0, value=0.9, step=0.05, label="Top-p (sampling diversity)")
+
+    # Output section
+    solution_output = gr.Textbox(label="Solution", interactive=False)
+    brainpower_output = gr.Textbox(label="EmojIQ Brainpower", interactive=False)
+
+    # Solve button
+    solve_button = gr.Button("🔍 Solve Emoji Math")
+    solve_button.click(
+        fn=solve_emoji_math,
+        inputs=[problem_input, temperature, max_length, top_p],
+        outputs=[solution_output, brainpower_output]
+    )
+
+    gr.Markdown("---")
+    gr.Markdown("🔢 **EmojIQ** - Cracking Emoji Codes, One Equation at a Time! 🚀")
+
+# Launch the interface
+interface.launch(share=True)