Update file_utils.py

file_utils.py

@@ -1,112 +1,26 @@
-import fitz  # PyMuPDF
-from pptx import Presentation
-from openai import OpenAI
-import os
+import gradio as gr
+from file_module import file_dashboard as file_viewer_dashboard
+from file_module import file_study_guide_dashboard
 
-# === GPT-4 Client Setup ===
-client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
-MAX_TOKENS = 7000  # Safety buffer below GPT-4's 8192 limit
 
-# === Centralized LLM Caller ===
-def call_llm(prompt, system_message="You are a helpful assistant.", temperature=0.7):
-    # Rough token approximation: 1 token ≈ 4 characters (English average)
-    approx_tokens = len(prompt) // 4
-    if approx_tokens > MAX_TOKENS:
-        prompt = prompt[:MAX_TOKENS * 4]  # truncate by character length
-        prompt += "\n[NOTE: Truncated due to length limit.]"
+def file_based_learning_router():
+    with gr.Column(scale=4, elem_id="main-column") as router:
+        view = gr.State("study")  # default view
 
-    response = client.chat.completions.create(
-        model="gpt-4",
-        messages=[
-            {"role": "system", "content": system_message},
-            {"role": "user", "content": prompt}
-        ],
-        temperature=temperature
-    )
-    return response.choices[0].message.content
+        file_view_panel = gr.Column(visible=False)
+        file_study_panel = gr.Column(visible=True)
 
-# === File Parsers ===
-def extract_text_from_pdf(pdf_path):
-    text = ""
-    with fitz.open(pdf_path) as doc:
-        for page in doc:
-            text += page.get_text()
-    return text
+        with file_study_panel:
+            file_study_guide_dashboard()
 
+        with file_view_panel:
+            file_viewer_dashboard()
 
-def extract_text_from_txt(file_path):
-    with open(file_path, 'r', encoding='utf-8') as f:
-        return f.read()
+        def show_view(mode):
+            return (
+                gr.update(visible=(mode == "study")),
+                gr.update(visible=(mode == "file")),
+                mode
+            )
 
-
-def extract_text_from_md(file_path):
-    with open(file_path, 'r', encoding='utf-8') as f:
-        return f.read()
-
-
-def extract_text_from_pptx(file_path):
-    text = ""
-    prs = Presentation(file_path)
-    for slide in prs.slides:
-        for shape in slide.shapes:
-            if hasattr(shape, "text"):
-                text += shape.text + "\n"
-    return text
-
-
-def extract_text_from_file(file):
-    if file is None:
-        return ""
-
-    name = file.name.lower()
-    if name.endswith(".pdf"):
-        return extract_text_from_pdf(file.name)
-    elif name.endswith(".txt"):
-        return extract_text_from_txt(file.name)
-    elif name.endswith(".md"):
-        return extract_text_from_md(file.name)
-    elif name.endswith(".pptx"):
-        return extract_text_from_pptx(file.name)
-    else:
-        return "Unsupported file type."
-
-
-# === GPT-4 Powered Content Generators ===
-def generate_summary(text):
-    prompt = f"""Please summarize the following study material in a concise and organized manner:
-
-{text}
-"""
-    return call_llm(prompt, system_message="You are a helpful study assistant.")
-
-
-def generate_flashcards(text):
-    prompt = f"""Based on the content below, create a set of helpful flashcards.
-Each flashcard should be formatted as:
-Q: Question?
-A: Answer.
-
-{text}
-"""
-    return call_llm(prompt, system_message="You are a flashcard generator assistant.")
-
-
-def generate_quiz(text):
-    prompt = f"""Create a short quiz (3-5 questions) based on the content below.
-Include a mix of multiple choice and short answer questions.
-
-{text}
-"""
-    return call_llm(prompt, system_message="You are a quiz generator assistant.")
-
-
-def answer_question(text, question):
-    prompt = f"""You are an AI tutor. Answer the following question based only on the content below.
-
-Content:
-{text}
-
-Question:
-{question}
-"""
-    return call_llm(prompt, system_message="You are a helpful and accurate tutor that stays grounded in provided content.")
+        return router, show_view, file_study_panel, file_view_panel