Update file_viewer_panel.py
Browse files- file_viewer_panel.py +27 -14
file_viewer_panel.py
CHANGED
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@@ -1,45 +1,59 @@
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import gradio as gr
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from file_utils import extract_text_from_file, call_llm
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import os, json
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def file_viewer_dashboard():
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with gr.Row():
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with gr.Column(scale=3):
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file_upload = gr.File(label="π Upload a File", file_types=[".pdf", ".txt", ".md", ".pptx"])
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file_viewer = gr.HTML(label="π File Preview")
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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 to learn more about the file")
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chat_input = gr.Textbox(label="", placeholder="Ask
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file_text_state = gr.State("")
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def render_file(file):
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if not file:
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return "", ""
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ext = os.path.splitext(file.name)[1].lower()
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file_path = file.name
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text = extract_text_from_file(file)
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if ext == ".pdf":
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else:
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return viewer_html, text
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def ask_question(q, text):
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prompt = f"
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return [(q, call_llm(prompt))]
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def generate_quiz(text):
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prompt = (
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"Generate 5 multiple choice questions from this document. "
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"Return a JSON
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)
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try:
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result = call_llm(prompt)
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@@ -58,7 +72,6 @@ def file_viewer_dashboard():
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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 Exception as e:
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return gr.update(visible=False), []
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@@ -66,4 +79,4 @@ def file_viewer_dashboard():
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chat_input.submit(fn=ask_question, inputs=[chat_input, file_text_state], outputs=[chat_output])
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generate_quiz_btn.click(fn=generate_quiz, inputs=[file_text_state], outputs=[quiz_container])
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return
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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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from pdf2image import convert_from_path
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from file_utils import extract_text_from_file, call_llm
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def file_viewer_dashboard():
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with gr.Row():
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with gr.Column(scale=3):
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file_upload = gr.File(label="π Upload a File", file_types=[".pdf", ".txt", ".md", ".pptx"])
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file_viewer = gr.HTML(label="π File Preview")
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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 to learn more about the file")
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chat_input = gr.Textbox(label="", placeholder="Ask Chatter a question...")
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file_text_state = gr.State("")
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def render_file(file):
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if not file:
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return "", ""
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ext = os.path.splitext(file.name)[1].lower()
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text = extract_text_from_file(file)
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if ext == ".pdf":
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# Convert to images
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output_dir = "/tmp/pdf_images"
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os.makedirs(output_dir, exist_ok=True)
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images = convert_from_path(file.name, dpi=150, fmt="png", output_folder=output_dir)
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img_tags = []
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for i, img in enumerate(images):
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img_path = os.path.join(output_dir, f"page_{i}.png")
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img.save(img_path, "PNG")
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img_tags.append(f"<img src='/file={img_path}' style='width:100%; margin-bottom: 10px; border-radius: 8px;'/>")
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viewer_html = "".join(img_tags)
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else:
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# Fallback for text/markdown/pptx
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viewer_html = f"<pre style='padding:12px; background:#f9f9f9; white-space:pre-wrap;'>{text}</pre>"
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return viewer_html, text
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def ask_question(q, text):
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prompt = f"Based on the document below, answer the user's question.\n\n{text}\n\nQuestion: {q}"
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return [(q, call_llm(prompt))]
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def generate_quiz(text):
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prompt = (
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"Generate 5 multiple choice questions from this document. "
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"Return a JSON list where each item has:\n- question\n- options (list)\n- answer (correct one)"
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)
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try:
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result = call_llm(prompt)
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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 Exception as e:
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return gr.update(visible=False), []
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chat_input.submit(fn=ask_question, inputs=[chat_input, file_text_state], outputs=[chat_output])
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generate_quiz_btn.click(fn=generate_quiz, inputs=[file_text_state], outputs=[quiz_container])
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return file_panel
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