Rename file_module.py to file_study_guide_panel.py

file_module.py

@@ -1,168 +0,0 @@
-import gradio as gr
-import os
-import json
-from file_utils import (
-    extract_text_from_file,
-    call_llm
-)
-
-
-def file_dashboard():
-    uploaded_files = gr.State([])
-    file_sections = gr.State({})
-    file_texts = gr.State({})
-    chat_history = gr.State({})
-    quiz_data = gr.State({})
-    total_score = gr.State({})
-
-    with gr.Column(scale=4, elem_id="main-column") as file_content:
-        file_guide_list = gr.Radio(label="Your Study Guides", choices=[], interactive=True)
-        btn_file_view = gr.Button("📁 Files")
-
-        file_upload = gr.File(label="📤 Upload File", file_types=[".pdf", ".txt", ".md", ".pptx"])
-        study_guide_output = gr.Markdown("Upload a file to generate a study guide.")
-        file_chat_output = gr.Row(visible=False)
-
-        with file_chat_output:
-            file_preview = gr.Textbox(label="📄 File Content Preview", lines=15, interactive=False)
-            chat_output = gr.Chatbot(label="💬 Chat with Document")
-
-        chat_input = gr.Textbox(label="Ask something about this file")
-        generate_quiz_btn = gr.Button("🧠 Generate Quiz from File")
-        quiz_container = gr.Column(visible=False)
-        quiz_score = gr.Textbox(label="Your Score", interactive=False, visible=False)
-
-        def store_file_and_generate_guide(file, current_files, section_map, text_map):
-            if file is None:
-                return current_files, section_map, text_map, "No file uploaded.", gr.update(choices=[])
-            text = extract_text_from_file(file)
-            filename = os.path.basename(file.name)
-            prompt = f"Break the content into 4–6 logical learning sections. Format: 'Section Title: Short summary'\n\n{text}"
-            response = call_llm(prompt, system_message="You are a helpful assistant for students studying documents.")
-            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}", gr.update(choices=updated_files)
-
-        def load_study_guide(selected_filename, section_map):
-            if not selected_filename or selected_filename not in section_map:
-                return "No study guide available."
-            return f"### {selected_filename} Study Guide\n\n{section_map[selected_filename]}"
-
-        def open_file_viewer(selected_file, text_map):
-            content = text_map.get(selected_file, "No file content available.")
-            return gr.update(visible=True), content, []
-
-        def chat_with_file(question, selected_file, text_map, history_map):
-            if not selected_file or selected_file not in text_map:
-                return [], history_map
-            text = text_map[selected_file]
-            history = history_map.get(selected_file, [])
-            prompt = f"You are a helpful tutor. Answer this question using the document content below.\n\n{text}\n\nQuestion: {question}"
-            answer = call_llm(prompt)
-            new_history = history + [(question, answer)]
-            history_map[selected_file] = new_history
-            return new_history, history_map
-
-        def generate_quiz_ui(selected_file, text_map):
-            if not selected_file or selected_file not in text_map:
-                return gr.update(visible=True), gr.update(visible=False, value="")
-
-            text = text_map[selected_file]
-            prompt = f"Create 5 multiple-choice questions based on the content below.\nReturn as JSON list with 'question', 'options' (list), and 'answer'.\n\n{text}"
-            response = call_llm(prompt)
-
-            try:
-                questions = json.loads(response)
-                quiz_elements = []
-                score = {"correct": 0, "total": len(questions)}
-
-                for i, q in enumerate(questions):
-                    question_md = gr.Markdown(f"**Q{i+1}. {q['question']}**")
-                    options = gr.Radio(choices=q['options'], label=f"Your Answer to Q{i+1}", interactive=True)
-                    feedback = gr.Textbox(label="Result", interactive=False)
-
-                    def evaluate(ans):
-                        def check(choice):
-                            correct = choice == ans
-                            return "✅ Correct!" if correct else f"❌ Incorrect. Correct answer: {ans}"
-                        return check
-
-                    options.change(fn=evaluate(q['answer']), inputs=[options], outputs=[feedback])
-                    quiz_elements.extend([question_md, options, feedback])
-
-                return gr.update(visible=True), gr.update(visible=True, value=f"Score: 0/{score['total']}")
-
-            except Exception as e:
-                return gr.update(visible=True), gr.update(visible=True, value="Error generating quiz.")
-
-        file_upload.change(
-            fn=store_file_and_generate_guide,
-            inputs=[file_upload, uploaded_files, file_sections, file_texts],
-            outputs=[uploaded_files, file_sections, file_texts, study_guide_output, file_guide_list],
-            show_progress="minimal"
-        )
-
-        file_guide_list.change(
-            fn=load_study_guide,
-            inputs=[file_guide_list, file_sections],
-            outputs=[study_guide_output],
-            show_progress="minimal"
-        )
-
-        btn_file_view.click(
-            fn=open_file_viewer,
-            inputs=[file_guide_list, file_texts],
-            outputs=[file_chat_output, file_preview, chat_output]
-        )
-
-        chat_input.submit(
-            fn=chat_with_file,
-            inputs=[chat_input, file_guide_list, file_texts, chat_history],
-            outputs=[chat_output, chat_history],
-            show_progress="minimal"
-        )
-
-        generate_quiz_btn.click(
-            fn=generate_quiz_ui,
-            inputs=[file_guide_list, file_texts],
-            outputs=[quiz_container, quiz_score],
-            show_progress="minimal"
-        )
-
-    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

file_study_guide_panel.py

@@ -0,0 +1,84 @@
+import gradio as gr
+import os
+import json
+from file_utils import (
+    extract_text_from_file,
+    call_llm,
+    save_study_guide,
+    fetch_study_guides
+)
+
+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:
+        nickname_input = gr.Textbox(label="👤 Your Nickname", placeholder="Enter your name")
+        file_upload = gr.File(label="📤 Upload File for Study Guide", file_types=[".pdf", ".txt", ".md", ".pptx"])
+        study_guide_output = gr.Textbox(label="📘 Generated Study Guide", lines=10, interactive=False)
+        save_guide_btn = gr.Button("📌 Save Study Guide")
+
+        saved_guides_dropdown = gr.Dropdown(label="📚 Your Saved Guides", choices=[], interactive=True)
+        saved_guide_display = gr.Textbox(label="📖 Selected Guide Content", lines=10, interactive=False)
+
+        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 learning sections. For each section, include a bold title and 2–3 line 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, response
+
+        def save_guide_to_db(user, uploaded_files, section_map):
+            if not uploaded_files or user.strip() == "":
+                return
+            filename = uploaded_files[-1]
+            guide = section_map.get(filename, "")
+            if guide:
+                save_study_guide(user=user, filename=filename, guide=guide)
+
+        def load_user_guides(user):
+            guides = fetch_study_guides(user)
+            return [f"{g.filename} ({g.timestamp})" for g in guides]
+
+        def show_saved_guide(user, label):
+            guides = fetch_study_guides(user)
+            for g in guides:
+                if label.startswith(g.filename):
+                    return g.guide
+            return ""
+
+        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]
+        )
+
+        save_guide_btn.click(
+            fn=save_guide_to_db,
+            inputs=[nickname_input, uploaded_files, file_sections],
+            outputs=[]
+        )
+
+        nickname_input.change(
+            fn=load_user_guides,
+            inputs=[nickname_input],
+            outputs=[saved_guides_dropdown]
+        )
+
+        saved_guides_dropdown.change(
+            fn=show_saved_guide,
+            inputs=[nickname_input, saved_guides_dropdown],
+            outputs=[saved_guide_display]
+        )
+
+    return guide_content