Update file_module.py

file_module.py

@@ -130,4 +130,39 @@ def file_dashboard():
             show_progress="minimal"
         )
 
-    return file_content
+    return file_content
+
+
+def file_study_guide_dashboard():
+    uploaded_files = gr.State([])
+    file_sections = gr.State({})
+    file_texts = gr.State({})
+
+    with gr.Column(scale=4, elem_id="main-column") as guide_content:
+        file_upload = gr.File(label="📤 Upload File for Study Guide", file_types=[".pdf", ".txt", ".md", ".pptx"])
+        study_guide_output = gr.Markdown("Upload a file to generate a personalized study guide.")
+
+        def generate_study_guide(file, current_files, section_map, text_map):
+            if file is None:
+                return current_files, section_map, text_map, "No file uploaded."
+
+            text = extract_text_from_file(file)
+            filename = os.path.basename(file.name)
+
+            prompt = f"Divide this document into 4-6 detailed learning sections. For each section, include a bold title and detailed explanation.\n\n{text}"
+            response = call_llm(prompt, system_message="You are an AI tutor creating study guides.")
+
+            updated_files = current_files + [filename] if filename not in current_files else current_files
+            section_map[filename] = response
+            text_map[filename] = text
+
+            return updated_files, section_map, text_map, f"### {filename} Study Guide\n\n{response}"
+
+        file_upload.change(
+            fn=generate_study_guide,
+            inputs=[file_upload, uploaded_files, file_sections, file_texts],
+            outputs=[uploaded_files, file_sections, file_texts, study_guide_output],
+            show_progress="minimal"
+        )
+
+    return guide_content