Update app.py

app.py

@@ -1,18 +1,49 @@
 import gradio as gr
+import json
 
-def evaluate_code(question, code):
-    # Dummy response (Replace with TinyLlama AI evaluation)
-    return "This code is correct and follows best practices."
+def evaluate_code(question, code, language):
+    # Check if code is empty
+    if not code.strip():
+        return json.dumps({
+            "stars": 0,
+            "feedback": "No code provided. Please submit your code solution."
+        })
+    
+    # Build a prompt for the evaluator (this is where you would normally call TinyLlama)
+    prompt = f"""
+You are an expert code evaluator.
+Rate the user's solution to the following problem from 0-5 (0 = completely incorrect, 5 = excellent).
+Also provide a concise "feedback" message.
+Programming Language: {language}
+Problem: "{question}"
+Solution: "{code}"
+Return ONLY valid JSON: {{"stars": number, "feedback": string}}
+Do not include any extra text outside the JSON.
+"""
+    # For demonstration purposes, we simulate the evaluation:
+    # (Replace the following with a call to your TinyLlama model)
+    if language.lower() == "python":
+        result = {"stars": 5, "feedback": "Excellent Python solution with clear logic and proper syntax."}
+    elif language.lower() == "c":
+        result = {"stars": 5, "feedback": "Great C code! The solution is correct with optimal use of functions and pointers."}
+    elif language.lower() == "java":
+        result = {"stars": 5, "feedback": "Excellent Java solution with proper class structure and error handling."}
+    else:
+        result = {"stars": 0, "feedback": "Language not supported."}
+    
+    return json.dumps(result)
 
 iface = gr.Interface(
     fn=evaluate_code,
     inputs=[
-        gr.Textbox(lines=2, placeholder="Enter the problem question here..."),
-        gr.Code(language="python")  # Removed placeholder
+        gr.Textbox(lines=2, placeholder="Enter the problem question here...", label="Question"),
+        gr.Code(language="python", label="Code"),
+        gr.Dropdown(choices=["c", "python", "java"], label="Language", value="python")
     ],
     outputs=gr.Textbox(label="Evaluation Result"),
-    title="Code Evaluator",
-    description="Enter a coding question and your solution to get AI-powered feedback."
+    title="TinyLlama Code Evaluator",
+    description="Enter a coding question, your solution, and select a programming language to get AI-powered feedback."
 )
 
-iface.launch()
+if __name__ == "__main__":
+    iface.launch()