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Update app.py
Browse files
app.py
CHANGED
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@@ -118,17 +118,21 @@ def generate_notes_flowchart(text):
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return notes,img
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# =====================
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# FILE OCR
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# =====================
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def extract_text_from_file(file):
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# =====================
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# LINKS
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@@ -147,11 +151,64 @@ custom_css="""
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body {background: linear-gradient(to bottom right, #90ee90, #ffb6c1);}
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"""
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# =====================
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# GRADIO UI
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# =====================
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with gr.Blocks() as demo:
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# Inject CSS for older Gradio versions
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gr.HTML(f"<style>{custom_css}</style>")
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gr.Markdown("## 🌸 AI Study Wizard — Pink + Green Gradient")
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@@ -208,20 +265,6 @@ with gr.Blocks() as demo:
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fv2=gr.Video(label="Full Video",width=640,height=360)
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notes_out=gr.Textbox(label="Notes",lines=12)
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flow_out=gr.Image(label="Flowchart",type="pil")
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def process_file(file,options,lg):
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text=extract_text_from_file(file)
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mcq=""
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prev=None
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full=None
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notes=""
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flow=None
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if "MCQs" in options: mcq=generate_mcqs_from_text(text)
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if "Video" in options:
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prev=create_video_simple(text,lg,preview=True)
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full=create_video_simple(text,lg)
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if "Notes" in options:
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notes,flow=generate_notes_flowchart(text)
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return text,mcq,prev,full,notes,flow
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btn=gr.Button("Process")
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btn.click(process_file,[f_in,opts,lang],[t_out,mc_out,pv2,fv2,notes_out,flow_out])
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return notes,img
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# =====================
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# FILE OCR (Safe)
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# =====================
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def extract_text_from_file(file):
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try:
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if file.name.endswith(".pdf"):
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pages=convert_from_path(file.name)
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text=""
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for page in pages:
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text+=pytesseract.image_to_string(page)+"\n"
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return text
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else:
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img = Image.open(file.name)
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return pytesseract.image_to_string(img)
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except Exception as e:
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return f"Error reading file: {e}"
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# =====================
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# LINKS
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body {background: linear-gradient(to bottom right, #90ee90, #ffb6c1);}
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"""
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# =====================
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# UPLOAD PROCESS (Fixed)
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# =====================
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def process_file(file, options, lg):
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text=""
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mcq=""
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prev=None
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full=None
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notes=""
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flow=None
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if file is None:
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return "No file uploaded.","",None,None,"",None
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# Extract text safely
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try:
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if file.name.endswith(".pdf"):
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pages=convert_from_path(file.name)
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for page in pages:
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text+=pytesseract.image_to_string(page)+"\n"
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else:
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img = Image.open(file.name)
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text = pytesseract.image_to_string(img)
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except Exception as e:
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text=f"Error extracting text: {e}"
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# Generate MCQs
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if "MCQs" in options and text.strip():
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try:
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mcq = generate_mcqs_from_text(text)
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except Exception as e:
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mcq=f"Error generating MCQs: {e}"
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# Generate Video
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if "Video" in options and text.strip():
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try:
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prev=create_video_simple(text,lg,preview=True)
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full=create_video_simple(text,lg)
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except Exception as e:
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prev=None
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full=None
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text += f"\n[Video error: {e}]"
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# Generate Notes & Flowchart
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if "Notes" in options and text.strip():
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try:
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notes,flow = generate_notes_flowchart(text)
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except Exception as e:
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notes=""
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flow=None
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text += f"\n[Notes/Flowchart error: {e}]"
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return text, mcq, prev, full, notes, flow
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# =====================
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# GRADIO UI
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# =====================
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with gr.Blocks() as demo:
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gr.HTML(f"<style>{custom_css}</style>")
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gr.Markdown("## 🌸 AI Study Wizard — Pink + Green Gradient")
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fv2=gr.Video(label="Full Video",width=640,height=360)
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notes_out=gr.Textbox(label="Notes",lines=12)
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flow_out=gr.Image(label="Flowchart",type="pil")
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btn=gr.Button("Process")
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btn.click(process_file,[f_in,opts,lang],[t_out,mc_out,pv2,fv2,notes_out,flow_out])
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