Update app.py

app.py

@@ -85,7 +85,7 @@ def evaluate_answer(image):
     model_answer = "The process of photosynthesis helps plants produce glucose using sunlight."
     similarity_score = calculate_similarity(student_answer, model_answer)
     grade = get_grade(similarity_score)
-    feedback = generate_response("Student's answer: {student_answer}\nTeacher's answer: {model_answer}")
+    feedback = f"Student's answer: {student_answer}\nTeacher's answer: {model_answer}"
     return grade, similarity_score * 100, feedback
 
 def generate_response(prompt):
@@ -96,15 +96,25 @@ def generate_response(prompt):
 def gradio_interface(image, prompt):
     grade, similarity_score, feedback = evaluate_answer(image)
     response = generate_response(prompt)
-    return grade, similarity_score, feedback, response
+    return grade, similarity_score, response
+
+# # Define Gradio interface
+# interface = gr.Interface(
+#     fn=gradio_interface,
+#     inputs=[gr.Image(type="pil"), gr.Textbox(lines=2, placeholder="Enter your prompt here")],
+#     outputs=[gr.Label(), gr.Label(), gr.Textbox(), gr.Textbox()],
+#     live=True
+# )
 
-# Define Gradio interface
 interface = gr.Interface(
     fn=gradio_interface,
-    inputs=[gr.Image(type="pil"), gr.Textbox(lines=2, placeholder="Enter your prompt here")],
-    outputs=[gr.Label(), gr.Label(), gr.Textbox(), gr.Textbox()],
+    inputs=gr.Image(type="pil", label="Upload your answer sheet"),
+    outputs=[gr.Text(label="Grade"), gr.Number(label="Similarity Score (%)"), gr.Text(label="Feedback")],
+    title="Automated Grading System",
+    description="Upload an image of your answer sheet to get a grade from 1 to 5, similarity score, and feedback based on the model answer."
     live=True
 )
+    
 
 if __name__ == "__main__":
     interface.launch()