Update app.py

app.py

@@ -114,36 +114,35 @@ openai_api_key = st.text_input("Enter your OpenAI API key", type="password")
 submit = st.button("Submit")
 
 if submit:
-    try:
-        client = OpenAI(api_key=openai_api_key)
+    client = OpenAI(api_key=openai_api_key)
+    
+    try:    
+        client.Model.list()
+    except:
+        st.error("OpenAI API key is invalid")
         
-        try:    
-            client.Model.list()
-        except:
-            st.error("OpenAI API key is invalid")
-            
-        if uploaded_files:
-            textify_output = read_and_textify_advanced(uploaded_files, sentence_chunks)
-            
-            df = pd.DataFrame(textify_output)
-            df.columns = ['context']
-
-            if question_protocol == "":
-                question_protocol = "Write questions based on the text"
-            df['questions'] = df.apply(lambda row: get_questions(row['context'], question_protocol), axis=1)
-
-            if answer_protocol == "":
-                answer_protocol = "Write answers based on the text"
-            df['answers'] = df.apply(lambda row: get_answers(row, answer_protocol), axis=1)
-
-            df = df.drop('context', axis=1)
-
-            csv = df.to_csv(index=False).encode('utf-8')
-            st.download_button(
-                label="Download Q/A pairs as CSV",
-                data=csv,
-                file_name='questions_answers.csv',
-                mime='text/csv',
-            )
-        else:
-            st.error("Please upload at least 1 PDF")
+    if uploaded_files:
+        textify_output = read_and_textify_advanced(uploaded_files, sentence_chunks)
+        
+        df = pd.DataFrame(textify_output)
+        df.columns = ['context']
+
+        if question_protocol == "":
+            question_protocol = "Write questions based on the text"
+        df['questions'] = df.apply(lambda row: get_questions(row['context'], question_protocol), axis=1)
+
+        if answer_protocol == "":
+            answer_protocol = "Write answers based on the text"
+        df['answers'] = df.apply(lambda row: get_answers(row, answer_protocol), axis=1)
+
+        df = df.drop('context', axis=1)
+
+        csv = df.to_csv(index=False).encode('utf-8')
+        st.download_button(
+            label="Download Q/A pairs as CSV",
+            data=csv,
+            file_name='questions_answers.csv',
+            mime='text/csv',
+        )
+    else:
+        st.error("Please upload at least 1 PDF")