Upload app.py

app.py

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+import gradio as gr
+from huggingface_hub import InferenceClient
+
+# Initialize the Hugging Face Inference Client
+client = InferenceClient()
+
+# Function to optimize code or simplify mathematical logic
+def optimize_or_simplify(input_text, task_type):
+    """
+    Optimizes a given code snippet or simplifies a mathematical expression based on the selected task.
+
+    Args:
+        input_text (str): The user-provided code or math expression.
+        task_type (str): The type of task ('Code Optimization' or 'Math Simplification').
+
+    Returns:
+        str: The optimized code or simplified mathematical result.
+    """
+    if task_type == "Code Optimization":
+        prompt = (
+            f"Optimize the following code for performance and readability. "
+            f"Provide detailed suggestions and refactor the code:\n\n{input_text}"
+        )
+    else:  # Math Simplification
+        prompt = (
+            f"Simplify the following mathematical expression or algorithm, "
+            f"ensuring accuracy and efficiency:\n\n{input_text}"
+        )
+    
+    # Call the Hugging Face model
+    response = client.chat.completions.create(
+        model="Qwen/Qwen2.5-Coder-32B-Instruct",
+        messages=[{"role": "user", "content": prompt}],
+        temperature=0.5,
+        max_tokens=512
+    )
+    return response["choices"][0]["message"]["content"]
+
+# Create Gradio interface
+with gr.Blocks() as app:
+    gr.Markdown("## Code Optimization and Math Simplification Assistant")
+    gr.Markdown(
+        "Refine your code for better performance or simplify complex mathematical expressions effortlessly. "
+        "Choose a task and input your text to get started!"
+    )
+
+    with gr.Row():
+        # Input section
+        with gr.Column():
+            task_type = gr.Radio(
+                choices=["Code Optimization", "Math Simplification"],
+                label="Select Task",
+                value="Code Optimization"
+            )
+            input_text = gr.Textbox(
+                lines=10,
+                label="Input Text",
+                placeholder="Enter your code or mathematical expression here"
+            )
+            process_button = gr.Button("Process")
+
+        # Output section
+        with gr.Column():
+            gr.Markdown("### Output")
+            output_result = gr.Textbox(lines=15, interactive=False)
+
+    # Link button to function
+    process_button.click(
+        fn=optimize_or_simplify,
+        inputs=[input_text, task_type],
+        outputs=output_result
+    )
+
+# Launch the app
+app.launch()