Update app.py

app.py

@@ -80,10 +80,10 @@ class PDFAnalytics:
             # Define a conversation between system and user
             conversation = [
               {"role": "system", "content": "You are a Summarizer"},
-              {"role": "user", "content": f"""summarize the following text delimited by triple backticks.Output must in english.within 100 words in detailed summary.
-                        In two format of Outputs given below:
-                        Abstractive Summary:
-                        Extractive Summary:
+              {"role": "user", "content": f"""summarize the following text delimited by triple backticks.Output must in english.give me a detailed summary.extractive summary working br like extract sentences from given text to return as summary,abstractive summary working be like summary of what about the given text.don't make bullet points write like a passage.
+                      In two format of Outputs given below:
+                      Abstractive Summary:
+                      Extractive Summary:
                         ```{self.extracted_text}```
                 """}
                 ]
@@ -101,7 +101,7 @@ class PDFAnalytics:
           elif model == "Mixtral":
               task = "summary"
               # Generate answer using Mixtral model
-              prompt = f"""<s>[INST] summarize the following text delimited by triple backticks.Output must in english.within 100 words in detailed summary.
+              prompt = f"""<s>[INST] summarize the following text delimited by triple backticks.Output must in english.give me a detailed summary.extractive summary working br like extract sentences from given text to return as summary,abstractive summary working be like summary of what about the given text.don't make bullet points write like a passage.
                       In two format of Outputs given below:
                       Abstractive Summary:
                       Extractive Summary:
@@ -422,13 +422,14 @@ class PDFAnalytics:
           overall_topics = "\n"
           for i in range(num_loops):
             self._extract_text_from_pdfs(f"extracted_text_part_{i}.txt")
-            text = f"{i+1} 20 pages Summary:\n\n"
+            ordinal_suffix = "th" if 11 <= (i+1) % 100 <= 13 else {1: "st", 2: "nd", 3: "rd"}.get((i+1) % 10, "th")
+            text = f"{i+1}{ordinal_suffix} 20 pages Summary:\n\n"
             summary = self.generate_summary(model)
             overall_summary += text + summary +"\n\n"
             important_sentences = self.generate_important_sentences(model)
-            important_sent_text = f"{i+1} 20 pages Important Sentence:\n\n"
+            important_sent_text = f"{i+1}{ordinal_suffix} 20 pages Important Sentence:\n\n"
             overall_important_sentences += important_sent_text + important_sentences + "\n\n"
-            topics_text = f"{i+1} 20 pages Topics:\n\n"
+            topics_text = f"{i+1}{ordinal_suffix} 20 pages Topics:\n\n"
             topics = self.generate_topics(model)
             overall_topics += topics_text + topics + "\n\n"
 
@@ -447,7 +448,7 @@ class PDFAnalytics:
             return "", "", ""
 
     def file_show_status(self,filepath):
-        return filepath.name
+        return "File Uploaded Successfully"
 
     def gradio_interface(self):
         with gr.Blocks(css="style.css",theme=gr.themes.Soft()) as demo: