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import os, tempfile, random, pytesseract, requests
from PIL import Image, ImageDraw, ImageFont
from gtts import gTTS
from moviepy.video.VideoClip import ImageClip
from moviepy.audio.io.AudioFileClip import AudioFileClip
from moviepy.video.compositing.concatenate import concatenate_videoclips
from pdf2image import convert_from_path
import gradio as gr
from urllib.parse import quote_plus
# =====================
# HARD-CODED API KEY
# =====================
GROQ_API_KEY = "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"
GROQ_MODEL = "llama-3.3-70b-versatile"
# =====================
# USERS DB
# =====================
users_db = {}
verification_codes = {}
# =====================
# SIGNUP / VERIFY / LOGIN
# =====================
def signup_user(username,email,password,contact):
if email in users_db: return "Email already registered.",""
code = str(random.randint(100000,999999))
verification_codes[email]=code
users_db[email] = {"username":username,"password":password,"contact":contact,"verified":False}
return "Signup successful! Your verification code:", code
def verify_user(email,code):
if email not in users_db: return "Email not found."
if users_db[email]["verified"]: return "Already verified."
if verification_codes.get(email) == code:
users_db[email]["verified"] = True
verification_codes.pop(email)
return "Verification successful!"
return "Invalid verification code."
def login_user(email,password):
user = users_db.get(email)
if not user: return False,"User not found."
if not user["verified"]: return False,"Account not verified."
if user["password"] != password: return False,"Wrong password."
return True,f"Welcome {user['username']}!"
# =====================
# GROQ API
# =====================
def call_groq(prompt,max_tokens=600):
url="https://api.groq.com/openai/v1/chat/completions"
headers={"Authorization":f"Bearer {GROQ_API_KEY}","Content-Type":"application/json"}
payload={"model":GROQ_MODEL,"messages":[{"role":"user","content":prompt}],"max_tokens":max_tokens}
try:
r=requests.post(url,json=payload,headers=headers,timeout=30)
return r.json()["choices"][0]["message"]["content"]
except Exception as e:
return f"Groq API Error: {e}"
# =====================
# ANSWERS / MCQs
# =====================
def answer_text_query(q):
q = q.strip()
if len(q.split()) < 6:
prompt=f"Explain clearly in detail for beginners:\n\n{q}"
else:
prompt=f"Answer concisely:\n\n{q}"
return call_groq(prompt)
def generate_mcqs_from_text(text,n=5):
return call_groq(f"Generate {n} MCQs with 4 options + correct answer:\n\n{text}")
# =====================
# VIDEO
# =====================
def create_video_simple(text,tts_lang="en",preview=False):
if not text.strip(): return None
tmp=tempfile.gettempdir()
lines=[l.strip() for l in text.splitlines() if l.strip()] or [p.strip() for p in text.split('.') if p.strip()]
if preview: lines=lines[:1]
clips=[]
for i,line in enumerate(lines):
W,H=480,360
img_path=os.path.join(tmp,f"slide_{i}.png")
audio_path=os.path.join(tmp,f"audio_{i}.mp3")
img=Image.new("RGB",(W,H),(255,182,193))
draw=ImageDraw.Draw(img)
try: font=ImageFont.truetype("DejaVuSans-Bold.ttf",22)
except: font=ImageFont.load_default()
draw.text((20,20),line,fill="black",font=font)
img.save(img_path)
gTTS(text=line,lang=tts_lang).save(audio_path)
duration=max(3,min(len(line)//10+3,10))
clip=ImageClip(img_path).set_duration(duration).set_audio(AudioFileClip(audio_path))
clips.append(clip)
out=os.path.join(tmp,"preview.mp4" if preview else "full.mp4")
final=concatenate_videoclips(clips,method="compose")
final.write_videofile(out,fps=24,codec="libx264",audio_codec="aac",verbose=False)
return out
# =====================
# NOTES & FLOWCHART
# =====================
def generate_notes_flowchart(text):
notes=call_groq(f"Summarize into bullet study notes:\n\n{text}")
img=Image.new("RGB",(480,360),(144,238,144))
draw=ImageDraw.Draw(img)
try: font=ImageFont.truetype("DejaVuSans.ttf",16)
except: font=ImageFont.load_default()
y=20
for line in notes.split("\n"):
if y>330: break
draw.text((10,y),line,fill="black",font=font)
y+=18
return notes,img
# =====================
# FILE OCR (Safe)
# =====================
def extract_text_from_file(file):
try:
if file.name.endswith(".pdf"):
pages=convert_from_path(file.name)
text=""
for page in pages:
text+=pytesseract.image_to_string(page)+"\n"
return text
else:
img = Image.open(file.name)
return pytesseract.image_to_string(img)
except Exception as e:
return f"Error reading file: {e}"
# =====================
# LINKS
# =====================
def get_youtube_link(q): return f"https://www.youtube.com/results?search_query={quote_plus(q)}"
def get_google_link(q): return f"https://www.google.com/search?q={quote_plus(q)}"
def get_links_clickable(topic):
yt="\n".join([f"[YouTube {i+1}]({get_youtube_link(topic)})" for i in range(3)])
gg="\n".join([f"[Google {i+1}]({get_google_link(topic)})" for i in range(3)])
return yt,gg
# =====================
# GRADIENT BACKGROUND
# =====================
custom_css="""
body {background: linear-gradient(to bottom right, #90ee90, #ffb6c1);}
"""
# =====================
# UPLOAD PROCESS (Fixed)
# =====================
def process_file(file, options, lg):
text=""
mcq=""
prev=None
full=None
notes=""
flow=None
if file is None:
return "No file uploaded.","",None,None,"",None
# Extract text safely
try:
if file.name.endswith(".pdf"):
pages=convert_from_path(file.name)
for page in pages:
text+=pytesseract.image_to_string(page)+"\n"
else:
img = Image.open(file.name)
text = pytesseract.image_to_string(img)
except Exception as e:
text=f"Error extracting text: {e}"
# Generate MCQs
if "MCQs" in options and text.strip():
try:
mcq = generate_mcqs_from_text(text)
except Exception as e:
mcq=f"Error generating MCQs: {e}"
# Generate Video
if "Video" in options and text.strip():
try:
prev=create_video_simple(text,lg,preview=True)
full=create_video_simple(text,lg)
except Exception as e:
prev=None
full=None
text += f"\n[Video error: {e}]"
# Generate Notes & Flowchart
if "Notes" in options and text.strip():
try:
notes,flow = generate_notes_flowchart(text)
except Exception as e:
notes=""
flow=None
text += f"\n[Notes/Flowchart error: {e}]"
return text, mcq, prev, full, notes, flow
# =====================
# GRADIO UI
# =====================
with gr.Blocks() as demo:
gr.HTML(f"<style>{custom_css}</style>")
gr.Markdown("## 🌸 AI Study Wizard — Pink + Green Gradient")
# SIGNUP
with gr.Tab("Sign Up"):
su_name=gr.Textbox(label="Username")
su_email=gr.Textbox(label="Email")
su_pass=gr.Textbox(label="Password",type="password")
su_contact=gr.Textbox(label="Contact Number")
su_btn=gr.Button("Sign Up")
su_msg=gr.Textbox(label="Message",interactive=False)
su_code=gr.Textbox(label="Verification Code",interactive=False)
su_btn.click(signup_user,[su_name,su_email,su_pass,su_contact],[su_msg,su_code])
# VERIFY
with gr.Tab("Verify"):
v_email=gr.Textbox(label="Email")
v_code=gr.Textbox(label="Verification Code")
v_btn=gr.Button("Verify")
v_msg=gr.Textbox(label="Status",interactive=False)
v_btn.click(verify_user,[v_email,v_code],v_msg)
# LOGIN
with gr.Tab("Login"):
li_email=gr.Textbox(label="Email")
li_pass=gr.Textbox(label="Password",type="password")
li_btn=gr.Button("Login")
li_msg=gr.Textbox(label="Login Status")
def login_wrap(e,p): ok,msg=login_user(e,p); return msg
li_btn.click(login_wrap,[li_email,li_pass],li_msg)
# ASK QUESTION
with gr.Tab("Ask Question"):
q_in=gr.Textbox(label="Ask Question")
a_out=gr.Textbox(label="Answer",lines=12)
m_out=gr.Textbox(label="MCQs",lines=12)
pv=gr.Video(label="Preview Video",width=640,height=360)
fv=gr.Video(label="Full Video",width=640,height=360)
ask_btn=gr.Button("Generate")
def run_question(q):
ans=answer_text_query(q)
mcqs=generate_mcqs_from_text(ans)
return ans,mcqs,create_video_simple(ans,preview=True),create_video_simple(ans)
ask_btn.click(run_question,q_in,[a_out,m_out,pv,fv])
# UPLOAD
with gr.Tab("Upload PDF/Image"):
f_in=gr.File()
opts=gr.CheckboxGroup(["Extracted Text","MCQs","Video","Notes"])
lang=gr.Dropdown(["en","ur","hi"],value="en",label="Video Language")
t_out=gr.Textbox(label="Extracted Text",lines=12)
mc_out=gr.Textbox(label="MCQs",lines=12)
pv2=gr.Video(label="Preview Video",width=640,height=360)
fv2=gr.Video(label="Full Video",width=640,height=360)
notes_out=gr.Textbox(label="Notes",lines=12)
flow_out=gr.Image(label="Flowchart",type="pil")
btn=gr.Button("Process")
btn.click(process_file,[f_in,opts,lang],[t_out,mc_out,pv2,fv2,notes_out,flow_out])
# LINKS
with gr.Tab("Search Links"):
topic=gr.Textbox(label="Topic")
yt=gr.Markdown()
gg=gr.Markdown()
link_btn=gr.Button("Get Links")
link_btn.click(get_links_clickable,topic,[yt,gg])
demo.launch() |