Update app.py

app.py

@@ -2,10 +2,10 @@ import gradio as gr
 import google.generativeai as genai
 from transformers import pipeline
 import json
-from ppt_parser import transfer_to_structure  # updated and working
+from ppt_parser import transfer_to_structure
 
 # ✅ Your Google Gemini API Key
-GOOGLE_API_KEY = "AIzaSyA8fWpwJE21zxpuN8Fi8Qx9-iwx3d_AZiw"
+GOOGLE_API_KEY = "your_google_api_key_here"
 genai.configure(api_key=GOOGLE_API_KEY)
 
 # ✅ Load Models
@@ -15,7 +15,6 @@ gemini_model = genai.GenerativeModel("models/gemini-1.5-flash")
 # ✅ Global variable to hold extracted text
 extracted_text = ""
 
-# ✅ Flatten extracted JSON into plain text
 def extract_text_from_pptx_json(parsed_json: dict) -> str:
     extracted_text = ""
     for slide_key, slide in parsed_json.items():
@@ -33,17 +32,14 @@ def extract_text_from_pptx_json(parsed_json: dict) -> str:
                         extracted_text += para.get("text", "") + "\n"
     return extracted_text.strip()
 
-# ✅ Main file handler
 def handle_pptx_upload(pptx_file):
     global extracted_text
-    tmp_path = pptx_file.name  # Fix for NamedString error on Spaces
-
+    tmp_path = pptx_file.name
     parsed_json_str, _ = transfer_to_structure(tmp_path, "images")
     parsed_json = json.loads(parsed_json_str)
     extracted_text = extract_text_from_pptx_json(parsed_json)
     return extracted_text or "No readable text found in slides."
 
-# ✅ Summary generator
 def summarize_text():
     global extracted_text
     if not extracted_text:
@@ -51,7 +47,6 @@ def summarize_text():
     summary = summarizer(extracted_text, max_length=200, min_length=50, do_sample=False)[0]['summary_text']
     return summary
 
-# ✅ Gemini-powered Q&A
 def clarify_concept(question):
     global extracted_text
     if not extracted_text:
@@ -60,11 +55,10 @@ def clarify_concept(question):
     response = gemini_model.generate_content(prompt)
     return response.text if response else "No response from Gemini."
 
-# ✅ Gradio UI
 with gr.Blocks() as demo:
     gr.Markdown("## 🧠 AI-Powered Study Assistant for PowerPoint Lectures")
 
-    pptx_input = gr.File(label="📂 Upload PPTX File", file_types=[".pptx"])  # Fix mobile upload
+    pptx_input = gr.File(label="📂 Upload PPTX File", file_types=[".pptx"])
     extract_btn = gr.Button("📜 Extract & Summarize")
 
     extracted_output = gr.Textbox(label="📄 Extracted Text", lines=10, interactive=False)
@@ -79,6 +73,5 @@ with gr.Blocks() as demo:
 
     ask_btn.click(clarify_concept, inputs=[question], outputs=[ai_answer])
 
-# ✅ Launch app (without share=True for Spaces)
 if __name__ == "__main__":
     demo.launch()