Update app.py

app.py

@@ -50,7 +50,7 @@ from sklearn.feature_extraction.text import TfidfVectorizer
 from sklearn.metrics.pairwise import cosine_similarity
 warnings.filterwarnings("ignore")
 
-#              ------------header section------------
+# ------------header section------------
 HEADER_INFO = """
     # WEB APP ✨| Norwegian WHISPER Model
 Switch Work [Transkribering av lydfiler til norsk skrift]
@@ -107,9 +107,9 @@ def transcribe(microphone, file_upload, batch_size=15):
 
     return warn_output + text.strip(), system_info
 
-#              ------------summary section------------
+# ------------summary section------------
 
-#          ------------for app integration later------------
+# ------------for app integration later------------
 
 nlp = spacy.blank("nb")  # codename 'nb' = Norwegian Bokmål
 nlp.add_pipe('sentencizer')
@@ -143,7 +143,7 @@ def summarize_text(text, file_upload):
     #
     # ----add same if/elif logic as above here----
     #
-    preprocessed_text = preprocess_text(text)
+    preprocessed_text = preprocess_text(text, file_upload)
     inputs = summarization_model(preprocessed_text, max_length=1024, return_tensors="pt", truncation=True)
     inputs = inputs.to(device)
     summary_ids = summarization_model.generate(inputs.input_ids, num_beams=5, max_length=150, early_stopping=True)
@@ -262,9 +262,9 @@ with iface:
         transcribe_btn = gr.Button("Transcribe Interview")
         text_output = gr.Textbox()
         system_info = gr.Textbox(label="System Info")
-        # --basic syntax!: positional argument ")" follows keyword argument, e.g ..., system_info  :P
-        transcribe_btn.click(fn=transcribe_audio,[microphone, upload], outputs=[text_output, system_info]) 
 
+        # Corrected the order of arguments here to prevent the SyntaxError
+        transcribe_btn.click(fn=transcribe, inputs=[microphone, upload], outputs=[text_output, system_info])
 
     with gr.Tabs():
 
@@ -281,9 +281,9 @@ with iface:
             """)
 
             summarize_transcribed_button_graph = gr.Button("Summary of Transcribed Text, Click Here")
-            summarize_transcribed_button_graph.click(fn=lambda text: graph_based_summary(text), inputs=[transcribed_text], outputs=[summary_output_graph])
+            summarize_transcribed_button_graph.click(fn=lambda text: graph_based_summary(text, None), inputs=[text_input_graph], outputs=[summary_output_graph])
             summarize_uploaded_button_graph = gr.Button("Upload Text to Summarize, Click Here")
-            summarize_uploaded_button_graph.click(fn=graph_based_summary(file_upload), inputs=[text_input_graph], outputs=[summary_output_graph])
+            summarize_uploaded_button_graph.click(fn=graph_based_summary, inputs=[None, upload], outputs=[summary_output_graph])
 
         with gr.TabItem("Summary | LexRank"):
             text_output = gr.Textbox(label="Transcription Output")
@@ -299,9 +299,9 @@ with iface:
             """)
 
             summarize_transcribed_button_lex = gr.Button("Summary of Transcribed Text, Click Here")
-            summarize_transcribed_button_lex.click(fn=lambda text: lex_rank_summary(text), inputs=[transcribed_text], outputs=[summary_output_lex])
+            summarize_transcribed_button_lex.click(fn=lambda text: lex_rank_summary(text, None), inputs=[text_input_lex], outputs=[summary_output_lex])
             summarize_uploaded_button_lex = gr.Button("Upload Text to Summarize, Click Here")
-            summarize_uploaded_button_lex.click(fn=lex_rank_summary(file_upload), inputs=[text_input_lex], outputs=[summary_output_lex])
+            summarize_uploaded_button_lex.click(fn=lex_rank_summary, inputs=[None, upload], outputs=[summary_output_lex])
 
         with gr.TabItem("Summary | TextRank"):
             text_input_text_rank = gr.Textbox(label="Input Text", placeholder="txt2summarize")
@@ -315,10 +315,9 @@ with iface:
             """)
 
             summarize_transcribed_button_text_rank = gr.Button("Summary of Transcribed Text, Click Here")
-            summarize_transcribed_button_text_rank.click(fn=lambda text: text_rank_summary(text), inputs=[transcribed_text], outputs=[summary_output_text_rank])
+            summarize_transcribed_button_text_rank.click(fn=lambda text: text_rank_summary(text, None), inputs=[text_input_text_rank], outputs=[summary_output_text_rank])
             summarize_uploaded_button_text_rank = gr.Button("Upload Text to Summarize, Click Here")
-            summarize_uploaded_button_text_rank.click(fn=text_rank_summary(file_upload), inputs=[text_input_text_rank], outputs=[summary_output_text_rank])
-
+            summarize_uploaded_button_text_rank.click(fn=text_rank_summary, inputs=[None, upload], outputs=[summary_output_text_rank])
 
         with gr.TabItem("Download PDF"):
             pdf_text_only = gr.Button("Download PDF with Transcribed Text Only")
@@ -327,6 +326,7 @@ with iface:
 
             pdf_output = gr.File(label="Download PDF")
 
-            pdf_text_only.click(fn=lambda text: save_to_pdf(text, ""), inputs=[transcribed_text], outputs=[pdf_output])
+            pdf_text_only.click(fn=lambda text: save_to_pdf(text, ""), inputs=[text_output], outputs=[pdf_output])
             pdf_summary_only.click(fn=lambda summary: save_to_pdf("", summary), inputs=[summary_output_graph, summary_output_lex, summary_output_text_rank], outputs=[pdf_output])  # Includes all summary outputs
-            pdf_both.click(fn=lambda text, summary: save_to_pdf(text, summary), inputs=[transcribed_text, summary_output_graph], outputs=[pdf_output])
+            pdf_both.click(fn=lambda text, summary: save_to_pdf(text, summary), inputs=[text_output, summary_output_graph], outputs=[pdf_output])
+