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app.py

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+import gradio as gr
+import pdfplumber
+import docx
+import os
+
+import openai
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+def extract_text_from_file(file):
+    if file.name.endswith(".pdf"):
+        with pdfplumber.open(file.name) as pdf:
+            return "\n".join(page.extract_text() for page in pdf.pages if page.extract_text())
+    elif file.name.endswith(".docx"):
+        doc = docx.Document(file.name)
+        return "\n".join([p.text for p in doc.paragraphs])
+    elif file.name.endswith(".txt"):
+        return file.read().decode("utf-8")
+    else:
+        return "Unsupported file type."
+
+def generate_content(tek_text):
+    prompt = f"""
+You are an AI education assistant. The following is a list of TEKS (Texas Essential Knowledge and Skills) or similar learning standards:
+
+{tek_text}
+
+For each TEK or standard, generate:
+1. A short summary or note explaining the concept.
+2. A list of 3-5 important vocabulary words.
+3. 2-3 practice problems (multiple choice, fill in the blank, or short answer).
+
+Format:
+TEK: <actual text>
+Notes: <summary>
+Vocabulary: <words>
+Practice Problems:
+1. <question>
+2. <question>
+---
+"""
+
+    response = openai.ChatCompletion.create(
+        model="gpt-4",
+        messages=[{"role": "user", "content": prompt}],
+        temperature=0.7
+    )
+    return response["choices"][0]["message"]["content"]
+
+def process_file(file):
+    teks_text = extract_text_from_file(file)
+    if teks_text.startswith("Unsupported"):
+        return teks_text
+    return generate_content(teks_text)
+
+with gr.Blocks() as demo:
+    gr.Markdown("""# 📚 TEKS Learning Generator
+Upload a TEKS or learning standard document (PDF, DOCX, or TXT), and the AI will generate notes, vocabulary, and practice problems for each TEK.
+""")
+
+    with gr.Row():
+        file_input = gr.File(label="Upload TEKS Document")
+        output = gr.Textbox(label="AI-Generated Output", lines=30)
+
+    submit_btn = gr.Button("Generate Learning Content")
+    submit_btn.click(fn=process_file, inputs=file_input, outputs=output)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio
+openai
+pdfplumber
+python-docx