modified code

app.py

@@ -13,6 +13,17 @@ from transformers import DistilBertForSequenceClassification, DistilBertTokenize
 from torch.nn.functional import softmax
 from doctr.models import ocr_predictor
 from doctr.io import DocumentFile
+import tempfile
+
+
+def save_uploaded_file(uploaded_file):
+    if uploaded_file is not None:
+        file_extension = uploaded_file.name.split('.')[-1].lower()
+        temp_file = tempfile.NamedTemporaryFile(delete=False, suffix = f'.{file_extension}')
+        temp_file.write(uploaded_file.getvalue())
+        temp_file.close()
+        return temp_file.name
+    return None
 
 load_dotenv()
 
@@ -265,15 +276,15 @@ def main():
             col1, col2, col3 = st.columns(3)
 
             with col1:
-                knowledge = st.slider("Knowledge: Remembering information", 0, 100, 20, key='knowledge_slider')
-                application = st.slider("Application: Using abstractions in concrete situations", 0, 100, 20, key='application_slider')
+                knowledge = st.slider("Knowledge or Remembering: Remembering information", 0, 100, 20, key='knowledge_slider')
+                application = st.slider("Application: Use knowledge in new situations or solve problems.", 0, 100, 20, key='application_slider')
 
             with col2:
-                comprehension = st.slider("Comprehension: Explaining the meaning of information", 0, 100, 20, key='comprehension_slider')
+                comprehension = st.slider("Comprehension or Understanding: Comprehend and explain ideas or concepts.", 0, 100, 20, key='comprehension_slider')
                 analysis = st.slider("Analysis: Breaking down a whole into component parts", 0, 100, 20, key='analysis_slider')
 
             with col3:
-                synthesis = st.slider("Synthesis: Putting parts together to form a new and integrated whole", 0, 100, 10, key='synthesis_slider')
+                synthesis = st.slider("Synthesis or Creating: Putting parts together to form a new and integrated whole", 0, 100, 10, key='synthesis_slider')
                 evaluation = st.slider("Evaluation: Making and defending judgments based on internal evidence or external criteria", 0, 100, 10, key='evaluation_slider')
 
             # Collect the Bloom's Taxonomy weights
@@ -428,9 +439,9 @@ def main():
 
         if submit_button:
             # Calculate total score
-            print(uploaded_file.name)
-            dummydata = sendtogemini(uploaded_file.name)
-            print(dummydata)
+            pdf_path = save_uploaded_file(uploaded_file)
+            dummydata = sendtogemini(pdf_path)
+            #print(dummydata)
             total_score = {'Remembering': 0, 'Understanding': 0, 'Applying': 0, 'Analyzing': 0, 'Evaluating': 0, 'Creating': 0}
             for item in dummydata:
                 for category in total_score:
@@ -452,7 +463,7 @@ def main():
                     st.markdown(f"""
                     <div class="score-breakdown">
                         <div class="score-header" style="color: {color}">{category}</div>
-                        <div style="font-size: 24px; color: {color};">{score}/1</div>
+                        <div style="font-size: 24px; color: {color};">{score}/{len(dummydata)}</div>
                     </div>
                     """, unsafe_allow_html=True)