Update app.py

app.py

@@ -1,13 +1,8 @@
 # -*- coding: utf-8 -*-
 """AI-Powered Research Assistant for Scholars and Researchers.ipynb
-
-Automatically generated by Colab.
-
-Original file is located at
-    https://colab.research.google.com/drive/1u8Qvn2TOmOr1hZ_BovZPUA3KCku31OXb
 """
 
-#pip install gradio requests transformers beautifulsoup4 python-docx torch
+#!pip install gradio requests transformers beautifulsoup4 python-docx torch
 
 """**Set Up the Environment:** Install the required libraries
 
@@ -140,7 +135,7 @@ def create_thesis_document(title, summary, citations):
     doc.add_paragraph(title, style='Title').alignment = 1  # Center alignment
     doc.add_paragraph()  # Add empty line
 
-    # Adding more title page details
+    # Adding title page details
     doc.add_paragraph('Thesis', style='Heading 1').alignment = 1
     doc.add_paragraph('Author Name', style='Normal').alignment = 1
     doc.add_paragraph('University Name', style='Normal').alignment = 1
@@ -160,32 +155,18 @@ def create_thesis_document(title, summary, citations):
     for citation in citations:
         doc.add_paragraph(citation, style='Normal')
 
-    # Save Document
-    # doc.save(f"Research_Document.docx")
-
     file_path = "Research_Document.docx"
     doc.save(file_path)
     return file_path
 
-# Example Usage
-# title = "Federated Learning\nA Comprehensive Study"
-# summary = "This thesis explores federated learning techniques including quantum natural gradient descent and their applications in various domains. Detailed analysis and results are provided."
-# citations = [
-#     "Federated quantum natural gradient descent for quantum federated learning. DOI: https://doi.org/10.1016/b978-0-44-319037-7.00028-4",
-#     "Federated Machine Learning for Systems Medicine. DOI: https://doi.org/10.14293/gof.23.06",
-#     "Adversarial robustness in federated learning. DOI: https://doi.org/10.1016/b978-0-44-319037-7.00013-2"
-# ]
-
-# create_thesis_document(title, summary, citations)
-
 def research_assistant(research_topic, citation_style):
     """Main function to search, summarize, and generate citations."""
     if not research_topic:
         return "Please enter a research topic.", ["No summaries generated."], ["No citations generated."]
 
     # Character limit check
-    if len(research_topic) > 75:
-        return "Error: Research topic exceeds 75 characters.", [], []
+    if len(research_topic) > 150:
+        return "Error: Research topic exceeds 150 characters.", [], []
 
     # Search for related articles using CrossRef
     articles, error = search_related_articles_crossref(research_topic)
@@ -225,7 +206,7 @@ def research_assistant(research_topic, citation_style):
 gr_interface = gr.Interface(
     fn=research_assistant,
     inputs=[
-        gr.Textbox(label="Enter your research topic or question:", placeholder="Enter your research topic (max 75 characters)", lines=2),
+        gr.Textbox(label="Enter your research topic or question:", placeholder="Enter your research topic (max 150 characters)"),
         gr.Dropdown(choices=["APA", "MLA", "Chicago"], label="Choose a citation style:")
     ],
     outputs=[
@@ -238,4 +219,4 @@ gr_interface = gr.Interface(
     allow_flagging="never"
 )
 
-gr_interface.launch(debug=True)
+gr_interface.launch()