Update app.py

app.py

@@ -1,48 +1,31 @@
 import gradio as gr
-import json
 
-def evaluate_code(question, code, language):
-    # Check if code is empty
+def evaluate_code(language, question, code):
+    # Check if code is provided
     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."}
+        return "Error: No code provided. Please enter your solution code."
+
+    # Dummy evaluation logic based on language.
+    # Replace this with your TinyLlama integration later.
+    if language.lower() == "c":
+        return "C evaluation: The code meets basic criteria but may need improvements."
+    elif language.lower() == "python":
+        return "Python evaluation: Code is correct and follows best practices."
     elif language.lower() == "java":
-        result = {"stars": 5, "feedback": "Excellent Java solution with proper class structure and error handling."}
+        return "Java evaluation: Good structure, but consider error handling improvements."
     else:
-        result = {"stars": 0, "feedback": "Language not supported."}
-    
-    return json.dumps(result)
+        return "Unsupported language. Please select C, Python, or Java."
 
 iface = gr.Interface(
     fn=evaluate_code,
     inputs=[
+        gr.Dropdown(choices=["C", "Python", "Java"], label="Language"),
         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")
+        gr.Code(label="Your Code (if any)")  # No placeholder property here.
     ],
     outputs=gr.Textbox(label="Evaluation Result"),
-    title="TinyLlama Code Evaluator",
-    description="Enter a coding question, your solution, and select a programming language to get AI-powered feedback."
+    title="Code Evaluator",
+    description="Enter a coding question and your solution (if available) to get AI-powered feedback. Supports C, Python, and Java."
 )
 
 if __name__ == "__main__":