Update file_viewer_panel.py
Browse files- file_viewer_panel.py +58 -116
file_viewer_panel.py
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import gradio as gr
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import os
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import shutil
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import json
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import
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from file_utils import extract_text_from_file, call_llm, save_user_file, fetch_user_files
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def make_public_file(img_path):
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public_dir = "/tmp/gradio-public"
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os.makedirs(public_dir, exist_ok=True)
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filename = f"{uuid.uuid4()}.png"
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public_path = os.path.join(public_dir, filename)
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shutil.copy(img_path, public_path)
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return public_path
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def file_viewer_dashboard(nickname):
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with gr.Column(scale=4, elem_id="main-column") as file_panel:
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file_upload = gr.File(label="π Upload a File", file_types=[".pdf", ".txt", ".md", ".pptx"])
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image_viewer = gr.HTML(label="π PDF Viewer")
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load_more_btn = gr.Button("β Load More Pages", visible=False)
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with gr.Column(scale=2):
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generate_quiz_btn = gr.Button("π§ Practice Questions")
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quiz_container = gr.Column(visible=False)
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chat_output = gr.Chatbot(label="Ask a question about the file")
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chat_input = gr.Textbox(label="", placeholder="Ask ChatEDU a question...")
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file_text_state = gr.State("")
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chat_state = gr.State([])
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all_image_paths = gr.State([])
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loaded_page_count = gr.State(0)
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shutil.copy(file.name, saved_path)
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save_user_file(nickname.value, filename, saved_path)
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text = extract_text_from_file(file)
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initial_html = "".join([
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f"<img src='file={paths[i]}' style='width:100%; margin-bottom:12px; border-radius:8px;'/>"
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for i in range(min(3, len(paths)))
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])
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return initial_html, paths, min(3, len(paths)), gr.update(visible=(len(paths) > 3))
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def load_more_pages(paths, current_count):
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next_count = current_count + 3
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total = len(paths)
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new_html = "".join([
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f"<img src='file={paths[i]}' style='width:100%; margin-bottom:12px; border-radius:8px;'/>"
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for i in range(current_count, min(next_count, total))
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])
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show_more = next_count < total
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return gr.update(value=new_html, append=True), next_count, gr.update(visible=show_more)
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def ask_question(user_input, text, history):
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if not user_input.strip():
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return history, history
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messages = [
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{"role": "system", "content": "You are a tutor. Only use the document below."},
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{"role": "user", "content": f"Document:\n{text}"}
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]
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for user_msg, bot_reply in history:
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messages.append({"role": "user", "content": user_msg})
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messages.append({"role": "assistant", "content": bot_reply})
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messages.append({"role": "user", "content": user_input})
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response = call_llm(messages=messages)
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history.append((user_input, response))
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return history, history
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def generate_quiz(text):
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prompt =
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"Each question should have:\n- question\n- options (list)\n- answer (string). Return JSON."
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)
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try:
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components = []
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for idx, q in enumerate(questions):
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q_md = gr.Markdown(f"**Q{idx+1}. {q['question']}**")
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radio = gr.Radio(choices=q["options"], label="Choose an answer")
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feedback = gr.Textbox(interactive=False)
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def check(ans, correct=q["answer"]):
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return "β
Correct!" if ans == correct else f"β Correct answer: {correct}"
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radio.change(fn=check, inputs=[radio], outputs=[feedback])
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components.extend([q_md, radio, feedback])
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return gr.update(visible=True), components
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except:
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return gr.update(visible=False), []
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)
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inputs=[all_image_paths, loaded_page_count],
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outputs=[image_viewer, loaded_page_count, load_more_btn]
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)
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return file_panel
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import gradio as gr
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import os
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import json
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from file_utils import extract_text_from_file, call_llm
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def file_viewer_dashboard(nickname_input):
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with gr.Column(scale=4, elem_id="main-column") as file_panel:
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file_upload = gr.File(label="π Upload a File", file_types=[".pdf", ".txt", ".md", ".pptx"])
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preview = gr.Textbox(label="π File Content Preview", lines=10, interactive=False)
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file_text_state = gr.State("")
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chat_input = gr.Textbox(label="π Ask about the file")
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chat_output = gr.Chatbot()
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btn_accessible = gr.Button("βΏοΈ Improve Accessibility")
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accessible_box = gr.Textbox(label="π Easier-to-Read Version", lines=15, interactive=False)
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quiz_box = gr.Column(visible=False)
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quiz_score = gr.Textbox(label="Your Score", interactive=False, visible=False)
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def load_and_preview(file):
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if not file:
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return "", ""
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text = extract_text_from_file(file)
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return text, text
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def handle_chat(query, text):
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prompt = f"Use this document to answer:
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{text}
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Question: {query}"
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return [(query, call_llm(prompt))]
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def make_accessible_version(text):
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prompt = f"""
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You are an expert in reading accessibility.
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Reformat the following content to improve readability and make it easier to follow:
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- Use simple language
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- Break long paragraphs
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- Use bullet points or headings when appropriate
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- Preserve the meaning clearly
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Text:
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{text}
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"""
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return call_llm(prompt)
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def generate_quiz(text):
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prompt = "Create 5 multiple-choice questions from this text. Return JSON list."
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response = call_llm(prompt)
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try:
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questions = json.loads(response)
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elements = []
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for i, q in enumerate(questions):
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q_md = gr.Markdown(f"**Q{i+1}. {q['question']}**")
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q_radio = gr.Radio(q["options"], label="Select an answer")
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q_feedback = gr.Textbox(label="Result", interactive=False)
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def grade(choice, correct=q["answer"]):
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return "β
Correct!" if choice == correct else f"β Correct: {correct}"
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q_radio.change(fn=grade, inputs=[q_radio], outputs=[q_feedback])
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elements.extend([q_md, q_radio, q_feedback])
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return gr.update(visible=True), elements, gr.update(visible=True, value="Score: 0/5")
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except:
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return gr.update(visible=False), [], gr.update(visible=True, value="Error generating quiz.")
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file_upload.change(fn=load_and_preview, inputs=[file_upload], outputs=[preview, file_text_state])
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chat_input.submit(fn=handle_chat, inputs=[chat_input, file_text_state], outputs=[chat_output])
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btn_accessible.click(fn=make_accessible_version, inputs=[file_text_state], outputs=[accessible_box])
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gr.Button("π§ Generate Quiz").click(fn=generate_quiz, inputs=[file_text_state], outputs=[quiz_box, quiz_box, quiz_score])
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return file_panel
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