diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/.python-version b/.python-version new file mode 100644 index 0000000000000000000000000000000000000000..c8cfe3959183f8e9a50f83f54cd723f2dc9c252d --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.10 diff --git a/__pycache__/algorithms.cpython-310.pyc b/__pycache__/algorithms.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..eee779999d3034338d06c7a8e24e25f009c52013 Binary files /dev/null and b/__pycache__/algorithms.cpython-310.pyc differ diff --git a/__pycache__/app.cpython-310.pyc b/__pycache__/app.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..fb701664d8aba70e9588da277c7268a8b4fc6aec Binary files /dev/null and b/__pycache__/app.cpython-310.pyc differ diff --git a/algorithms.py b/algorithms.py new file mode 100644 index 0000000000000000000000000000000000000000..c7c9591fd3f67da0d66e184a8f29c6425c07ed3f --- /dev/null +++ b/algorithms.py @@ -0,0 +1,77 @@ +import numpy as np +import pickle +import json +from nltk.tokenize import word_tokenize +from nltk.stem import WordNetLemmatizer +import numpy as np +import nltk +import onnxruntime as rt +from sklearn.metrics.pairwise import cosine_similarity +nltk.download("punkt_tab") +def similar(a,b): + return np.linalg.matmul(a,b)/(np.linalg.norm(a)*np.linalg.norm(b)) +def pred_next(text,how_many): + with open("tokenz_next_word.json") as file: + tokenizer=json.load(file) + file.close() + text=text.lower() + model=rt.InferenceSession("next_word.onnx",providers=["CPUExecutionProvider"]) + for i in range(how_many): + tokens=[tokenizer[token] for token in text.split() if token in tokenizer.keys()] + length=len(tokens) + if length<=14: + paded=np.pad(tokens,(14-length,0)) + else: + paded=tokens[:14] + index=np.argmax(model.run(['dense'],{"input":np.expand_dims(paded.astype(np.int32),axis=0)})) + word=list(tokenizer)[index+1] + text=text+" "+word + return text +def give_sentiment(text): + model=rt.InferenceSession('sentiment_analysis.onnx',providers=['CPUExecutionProvider']) + with open("sentiment_tokens.json") as file: + tokenizer=json.load(file) + file.close() + tokens=word_tokenize(text) + lemmatize=WordNetLemmatizer() + lemma_tokens=[lemmatize.lemmatize(word) for word in tokens] + vector=[tokenizer[word] for word in lemma_tokens if word in tokenizer.keys()] + if len(vector)<=100: + paded=np.pad(vector,(100-len(vector),0)) + else: + paded=np.array(vector[:100]) + vector=np.expand_dims(paded,axis=0) + try: + pred=model.run(['dense_32'],{"input":vector}) + except Exception as e: + return 0 + if pred[0][0][0]>0.5: + return 1 + else: + return 0 +def ChatWithMe(question): + with open("chatbot_tokenizer.pkl","rb") as file: + vectorize=pickle.load(file) + file.close() + sim=[] + answers=np.load("answer_bank.npy") + X=np.load("question_array.npy") + text=vectorize.transform([question]) + text=text.toarray() + for ques in X: + sim.append(cosine_similarity(ques.reshape(1,-1),text)) + if max(sim)<0.1: + return "I do not know about that" + else: + index=np.argmax(sim) + return answers[index] +def tell_vernelable(img): + model=rt.InferenceSession("vernelable_detect.onnx",providers=['CPUExecutionProvider']) + pred=model.run(['dense_2'],{"input":img}) + if pred[0][0][0]>0.5: + return 1 + else: + return 0 + + + diff --git a/answer_bank.npy b/answer_bank.npy new file mode 100644 index 0000000000000000000000000000000000000000..4049058f6b2f5d5c2479cee3fc09890f9a17bd7c --- /dev/null +++ b/answer_bank.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5ec2e052e67f8b8df4c68d6ad3aa5a97af7d95e370eea7a365ae932a453aad61 +size 113132 diff --git a/app.py b/app.py new file mode 100644 index 0000000000000000000000000000000000000000..631929f039c61451fd9780986477ea00a96f0f40 --- /dev/null +++ b/app.py @@ -0,0 +1,217 @@ +from flask import Flask,render_template,request,Response,jsonify,session,redirect,url_for +import numpy as np +from sklearn.metrics.pairwise import cosine_similarity +import matplotlib.pyplot as plt +import pandas as pd +import pickle +import os +import json +import re +from PIL import Image +import threading +import algorithms as alg +from io import BytesIO +app=Flask(__name__) +folder='static/images' +app.config["UPLOAD_FOLDER"]=folder +app.secret_key="mykey" +pair={} +def pred_ver_and_save_data(img,img_file,data,digit,name,vector,brand,desc,cat,price): + try: + ans=alg.tell_vernelable(img) + except Exception as e: + ans=0.000001 + vector=list(vector) + if ans>0.5: + data[f"id{digit+1}"]={"name":name,"description":desc,"reviews":[],"clicks":0,"category":cat,"price":price,"brand":brand,"img":f"images/{img_file.filename}","vector":vector} + else: + data[f"id{digit+1}"]={"name":name,"description":desc,"reviews":[],"clicks":0,"category":cat,"price":price,"brand":brand,"img":'images/error.png',"vector":vector} + with open("products.json","w") as file: + json.dump(data,file) + file.close() + return 0 +@app.route("/") +def page(): + return render_template("index.html") +@app.route("/niche") +def niche(): + return render_template("Niche.html") +@app.route("/product_panel/",methods=["GET"]) +def product_panel(product_id): + with open("products.json") as f: + data=json.load(f) + f.close() + vectors=[] + for ids in data: + vectors.append(data[ids]["vector"]) + vect_arr=np.array(vectors) + to_compare=np.array(data[product_id]["vector"]).reshape(1,-1) + sim=[] + indexes=[] + rec={} + for vec in vect_arr: + sim.append(cosine_similarity(to_compare,vec.reshape(1,-1))) + sorted_sim=sorted(sim)[1:4] + for similar in sorted_sim: + indexes.append(sim.index(similar)) + for i in indexes: + rec[list(data)[i]]=data[list(data)[i]] + return render_template("product_panel.html",product=data[product_id],rec_pro=rec) +@app.route("/products",methods=["GET"]) +def products(): + if 'user' not in session: + return redirect(url_for('login')) + with open("products.json") as f: + data=json.load(f) + f.close() + return render_template("products.html",products=data) +@app.route("/login",methods=['GET',"POST"]) +def login(): + if 'user' in session: + with open("products.json") as file: + data=json.load(file) + file.close() + return redirect(url_for('products',products=data)) + if request.method=="POST": + with open("seller.json") as f: + data=json.load(f) + name=request.form['name'] + password=request.form['password'] + if name not in list(data): + return redirect(url_for("sign_up")) + elif password=="": + return render_template("login.html") + elif int(password) == data[name]['password']: + session['user']=name + with open("products.json") as f: + pro=json.load(f) + f.close() + return redirect(url_for("products",products=pro)) + else: + return render_template("login.html") + else: + return render_template("login.html") +@app.route("/sign_up",methods=["GET","POST"]) +def sign_up(): + if "user" in session: + with open("products.json") as f: + data=json.load(f) + f.close() + return redirect(url_for("products.html",products=data)) + if request.method=="GET": + return render_template("Signup.html") + else: + with open("seller.json") as f: + data=json.load(f) + f.close() + name=request.form['name'] + if name in list(data): + return redirect(url_for("login")) + else: + session['user']=name + password=request.form['confirm'] + data[name]={"password":int(password),"products":[],"reviews":[]} + with open("seller.json","w") as f: + json.dump(data,f) + f.close() + return redirect(url_for("niche")) +@app.route("/graph") +def graph(): + with open("seller.json") as file: + data=json.load(file) + file.close() + a=[] + reviews=data['username1']['reviews'] + for review in reviews: + sentiment=alg.give_sentiment(review) + a.append(sentiment) + df=pd.Series(a) + df=df.replace({1:"positive",0:"negative"}) + data=df.value_counts() + fig,ax=plt.subplots() + data.plot(kind="bar" ,ax=ax) + plt.xlabel("review sentiment") + plt.ylabel("no of reviews") + plt.xticks(rotation=0) + img=BytesIO() + fig.savefig(img,format="png") + img.seek(0) + return Response(img, mimetype='image/png') +@app.route("/seller",methods=["GET","POST"]) +def seller(): + with open("seller.json") as file: + seller=json.load(file) + file.close() + reviews=seller[session['user']]['reviews'] + products=seller[session['user']]['products'] + with open("products.json") as file: + prod=json.load(file) + file.close() + return render_template("seller_dashboard.html",product=prod,ids=products,reviews=reviews) +@app.route("/tell",methods=['POST',"GET"]) +def tell(): + if request.method=="GET": + return render_template("add_product.html") + else: + img_file=request.files["image"] + image_data=img_file.read() + img=Image.open(BytesIO(image_data)) + img=np.expand_dims(np.array(img.resize((256,256))).astype(np.float32)/255,axis=0) + image_path=os.path.join(app.config['UPLOAD_FOLDER'],img_file.filename) + img_file.save(image_path) + with open("products.json") as file: + data=json.load(file) + file.close() + last=list(data.keys())[-1] + digit=int("".join(re.findall(r"\d",last))) + name=request.form["name"] + cat=request.form["category"] + desc=request.form["description"] + brand=request.form["brand"] + price=request.form['price'] + vector=name+" "+brand+" "+desc + with open("tokenize_description.pkl","rb") as file: + tokenizer=pickle.load(file) + file.close() + with open("seller.json") as file: + seller=json.load(file) + file.close() + new_product_id = f"id{digit+1}" + if new_product_id not in seller[session['user']]["products"]: + seller[session['user']]["products"].append(new_product_id) + with open("seller.json","w") as file: + json.dump(seller,file) + file.close() + seq=[tokenizer.word_index[word] for word in vector.split() if word in tokenizer.word_index] + if len(seq)<=22: + vector=np.pad(seq,(22-len(seq),0)) + else: + vector=np.array(vector[:22]) + threading.Thread(target=pred_ver_and_save_data,args=(img,img_file,data,digit,name,vector,brand,desc,cat,price)).start() + return render_template("seller_dashboard.html",ids=seller[session['user']]["products"][:-1],product=data,reviews=seller[session['user']]["reviews"]) +@app.route("/chatbot",methods=["GET","POST"]) +def chatbot(): + if request.method=="GET": + return render_template("chatwindow.html",chat=pair) + else: + question=request.form['question'] + question=question.lower() + ans=alg.ChatWithMe(question) + pair[question]=ans + return render_template("chatwindow.html",chat=pair) +@app.route("/predict", methods=["POST","GET"]) +def predict(): + if request.method=="POST": + data = request.json + input_text = data.get("text", "") + sugg=alg.pred_next(input_text,1) + return jsonify({"suggestions": [sugg]}) + else: + return render_template("products.html") +if __name__=="__main__": + app.run(debug=True) + + + + + diff --git a/chatbot_tokenizer.pkl b/chatbot_tokenizer.pkl new file mode 100644 index 0000000000000000000000000000000000000000..46372f1bc7430b0c7c638a90d5db82453087379d --- /dev/null +++ b/chatbot_tokenizer.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:09ee9ab5af6991aa006c35d16dd9ee0728c0f25d38b762974fd5e2be216b927e +size 5360 diff --git a/customers.json b/customers.json new file mode 100644 index 0000000000000000000000000000000000000000..c6d154b83a268fce343279786d4e6c51b3a1547d --- /dev/null +++ b/customers.json @@ -0,0 +1,72 @@ +{ + "username1": { + "password": 123, + "products": [1000, 1001, 1002, 1003], + "category": {"clothing": 10, "electronics": 20, "shoes": 5}, + "time on website": {"session1": 10, "session2": 20, "session3": 15, "session4": 30}, + "clicks": {"prod_1000": 8, "prod_1001": 5, "prod_150": 10, "prod_220": 5}, + "balance": 2000, + "reviews": { + "prod_1000": "Great quality, highly recommend!", + "prod_1001": "Very comfortable but the color faded after one wash.", + "prod_1002": "Not satisfied with the product. It broke within a week.", + "prod_1003": "Amazing value for money!" + } + }, + "username2": { + "password": 456, + "products": [1010, 1015, 1020, 1025], + "category": {"clothing": 5, "electronics": 15, "shoes": 8}, + "time on website": {"session1": 25, "session2": 30, "session3": 10, "session4": 20, "session5": 18}, + "clicks": {"prod_1010": 6, "prod_1015": 7, "prod_180": 12, "prod_275": 8}, + "balance": 1500, + "reviews": { + "prod_1010": "The fit was perfect, but the stitching came loose after a few wears.", + "prod_1015": "Worth the price, but arrived later than expected.", + "prod_1020": "Very durable and stylish, exactly what I needed.", + "prod_1025": "Good value, though the material feels a bit cheap." + } + }, + "username3": { + "password": 789, + "products": [1030, 1035, 1040, 1045], + "category": {"clothing": 8, "electronics": 18, "shoes": 6}, + "time on website": {"session1": 15, "session2": 25, "session3": 20, "session4": 22}, + "clicks": {"prod_1030": 9, "prod_1035": 6, "prod_190": 14, "prod_310": 6}, + "balance": 2500, + "reviews": { + "prod_1030": "Really comfy shoes, but they run a bit large.", + "prod_1035": "Good product but could use better packaging.", + "prod_1040": "Not worth the price, expected better performance.", + "prod_1045": "Sleek design, feels premium, but a bit tight." + } + }, + "username4": { + "password": 234, + "products": [1050, 1055, 1060, 1065], + "category": {"clothing": 12, "electronics": 10, "shoes": 9}, + "time on website": {"session1": 30, "session2": 20, "session3": 15, "session4": 10, "session5": 12}, + "clicks": {"prod_1050": 5, "prod_1055": 8, "prod_200": 7, "prod_330": 5}, + "balance": 1800, + "reviews": { + "prod_1050": "Not comfortable, returns were easy though.", + "prod_1055": "Nice quality, would buy again.", + "prod_1060": "Decent product but not as described.", + "prod_1065": "Good value, the texture could be improved." + } + }, + "username5": { + "password": 567, + "products": [1070, 1075, 1080, 1085], + "category": {"clothing": 6, "electronics": 22, "shoes": 4}, + "time on website": {"session1": 20, "session2": 15, "session3": 18, "session4": 25, "session5": 30, "session6": 22}, + "clicks": {"prod_1070": 7, "prod_1075": 6, "prod_210": 11, "prod_350": 9}, + "balance": 2200, + "reviews": { + "prod_1070": "Stylish and comfortable, but not very durable.", + "prod_1075": "The quality was better than I expected.", + "prod_1080": "Great sound, but could have been louder.", + "prod_1085": "Works as expected, but not exceptional." + } + } +} diff --git a/dockerfile b/dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..2442a800ccfbcceca062d3495261c742f8c36096 --- /dev/null +++ b/dockerfile @@ -0,0 +1,13 @@ +FROM python:3.9 + +RUN useradd -m -u 1000 user +USER user +ENV PATH="/home/user/.local/bin:$PATH" + +WORKDIR /app + +COPY --chown=user ./requirements.txt requirements.txt +RUN pip install --no-cache-dir --upgrade -r requirements.txt + +COPY --chown=user . /app +CMD ["gunicorn","-b","0.0.0.0:7860","app:app"] \ No newline at end of file diff --git a/next_word.onnx b/next_word.onnx new file mode 100644 index 0000000000000000000000000000000000000000..681c7852df6857719f5d54da25bab402ad4cf09e --- /dev/null +++ b/next_word.onnx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cd61900436f6fe10be567b198a02a56f970242e7a80570f28b2e8bca90182a9a +size 1297135 diff --git a/products.json b/products.json new file mode 100644 index 0000000000000000000000000000000000000000..8d6fd2054ee680eedaaba6607aa3d8360cd453c1 --- /dev/null +++ b/products.json @@ -0,0 +1 @@ +{"id1": {"name": "goat milk whitening soap", "description": "A gentle soap enriched with goat milk to nourish and brighten skin, perfect for sensitive skin types.", "reviews": ["nice product", "very soothing on the skin", "good for sensitive skin"], "clicks": 50, "category": "cosmetics", "price": 2000, "brand": "lux", "img": "images/3e3ccc0f17e593440e152473eee9c23942cc2770_1614160012_dfd6e29a5c8841f08ddffd3a62d000a5.png", "vector": [15, 16, 44, 17, 12, 2, 45, 17, 46, 4, 15, 16, 5, 47, 1, 18, 3, 48, 19, 49, 3, 50]}, "id2": {"name": "luxury face cream", "description": "A premium face cream that hydrates and smoothens skin with high-quality ingredients for a radiant look.", "reviews": ["great texture, works well", "my skin feels smoother", "expensive but worth it"], "clicks": 75, "category": "cosmetics", "price": 3500, "brand": "lux", "img": "images/3dea3c172d0407082d348f0ae7dba4eabeb3fe59_1629703734_9f72afe21ac04c408287e15dbe3aa543.png", "vector": [0, 20, 7, 8, 12, 2, 51, 7, 8, 9, 52, 1, 53, 3, 4, 54, 55, 21, 19, 2, 56, 57]}, "id3": {"name": "organic hair serum", "description": "A nourishing hair serum made with organic ingredients to promote shine and reduce frizz.", "reviews": ["not as effective as expected", "it made my hair shinier", "too oily for my hair type"], "clicks": 45, "category": "haircare", "price": 1500, "brand": "lux", "img": "images/3d5a097d815eaa08f3d507140e6b603ee634a41c_1628580918_f88a54bc60594456924e296bc6e8bbf2.png", "vector": [0, 0, 0, 0, 10, 22, 6, 12, 2, 58, 22, 6, 59, 4, 10, 21, 5, 60, 61, 1, 23, 62]}, "id4": {"name": "shea butter body lotion", "description": "A deeply moisturizing body lotion infused with shea butter to keep skin soft and hydrated.", "reviews": ["very moisturizing", "perfect for dry skin", "smells amazing"], "clicks": 60, "category": "cosmetics", "price": 1200, "brand": "care", "img": "images/3cfa434132c3ad50a3f4cd6b6f7fd94050c03c4e_1630128966_4acf3f6da05742dbbc23627a81144f6d.png", "vector": [0, 0, 24, 25, 26, 27, 11, 2, 28, 63, 26, 27, 29, 4, 24, 25, 5, 64, 3, 30, 1, 65]}, "id5": {"name": "charcoal detox mask", "description": "A purifying face mask with activated charcoal to remove toxins and deeply cleanse pores.", "reviews": ["clears pores, refreshing", "great for oily skin", "a bit too drying for my skin"], "clicks": 85, "category": "skincare", "price": 1800, "brand": "care", "img": "images/3cd02339fccadc5b18f358e0651bfcf8420325f3_1627363162_b066b67181dd4fc5b940b49eb84e6673.png", "vector": [0, 0, 0, 0, 31, 66, 32, 11, 2, 67, 7, 32, 4, 68, 31, 5, 69, 70, 1, 28, 71, 72]}, "id6": {"name": "anti-aging serum", "description": "A powerful anti-aging serum that reduces fine lines and improves skin elasticity over time.", "reviews": ["good results after a few weeks", "skin feels tighter", "didn't see any major changes"], "clicks": 40, "category": "skincare", "price": 2500, "brand": "care", "img": "images/3cc8b4966a83b7582e035e09950836e63479450e_1620716085_49328cad06f74257aa4c22d22689146d.png", "vector": [0, 0, 0, 33, 34, 6, 11, 2, 73, 33, 34, 6, 9, 74, 75, 76, 1, 77, 3, 78, 79, 80]}, "id7": {"name": "organic aloe vera gel", "description": "A pure and organic aloe vera gel that soothes irritated skin and provides deep hydration.", "reviews": ["soothing and natural", "great for sunburns", "a bit too sticky for my liking"], "clicks": 95, "category": "skincare", "price": 800, "brand": "care", "img": "images/3c96ed04df221bd87b810732184f9be65e09be8e_1629543959_a841c137310246f7b3514c46aa7e0613.png", "vector": [0, 0, 10, 35, 36, 37, 11, 2, 81, 1, 10, 35, 36, 37, 9, 82, 83, 3, 1, 84, 85, 86]}, "id8": {"name": "rose water facial spray", "description": "A refreshing facial mist infused with rose water to revitalize and tone the skin.", "reviews": ["refreshing, smells amazing", "perfect for summer", "needs more hydration"], "clicks": 50, "category": "cosmetics", "price": 900, "brand": "hashmi", "img": "images/3bd342172c5971c8c804682b8febadad5663ebd4_1613568177_ae560918114949e99fec8aaaa230db4e.png", "vector": [0, 0, 0, 38, 39, 40, 87, 13, 2, 88, 40, 89, 29, 4, 38, 39, 5, 90, 1, 91, 14, 3]}, "id9": {"name": "vitamin C face serum", "description": "A lightweight serum with vitamin C to brighten the skin and reduce dark spots.", "reviews": ["brightens skin tone", "absorbs quickly", "left my skin feeling sticky"], "clicks": 60, "category": "skincare", "price": 2200, "brand": "hashmi", "img": "images/3b76371c871b2774dbe1c35016da990dc3374ec1_1622095978_054e566afc0141558f371dc7409ef7d8.png", "vector": [0, 0, 0, 41, 42, 7, 6, 13, 2, 92, 6, 4, 41, 42, 5, 18, 14, 3, 1, 23, 93, 94]}, "id10": {"name": "luxury hand cream", "description": "A rich and hydrating hand cream that keeps hands soft and moisturized throughout the day.", "reviews": ["softens hands instantly", "perfect for winter", "a bit too thick for my liking"], "clicks": 30, "category": "cosmetics", "price": 1400, "brand": "hashmi", "img": "images/3b6c02e7ac7285a9196e0bf6735568af26dc41e5_1618042275_f61ff47ae62f406a9e7fc93d3df3ebf3.png", "vector": [0, 0, 0, 20, 43, 8, 13, 2, 95, 1, 96, 43, 8, 9, 97, 98, 30, 1, 99, 100, 14, 101]}} \ No newline at end of file diff --git a/question_array.npy b/question_array.npy new file mode 100644 index 0000000000000000000000000000000000000000..5747af275ef2d73a001c0ca0d92f0c14ffebdf04 --- /dev/null +++ b/question_array.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a2d91aa5252faa358c13e17e5208d7a227425b45444d0dbefd6bf693b1d57e04 +size 256064 diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..5bb363a65f63a59c28e2e228c0160ed6bfa7595e --- /dev/null +++ b/requirements.txt @@ -0,0 +1,9 @@ +onnxruntime +io +scikit-learn +matplotlib +pandas +numpy +flask +nltk +Pillow \ No newline at end of file diff --git a/seller.json b/seller.json new file mode 100644 index 0000000000000000000000000000000000000000..ecbbf961a881f72e505013ea039d80b08b1c0f8b --- /dev/null +++ b/seller.json @@ -0,0 +1 @@ +{"username1": {"password": 123, "products": ["id1"], "reviews": ["this product is useless", "you are worst", "quality is poor", "not worth the price", "delivered late", "item damaged", "waste of money", "terrible experience", "not recommended", "customer service is bad"]}, "username2": {"password": 123, "products": ["id2"], "reviews": ["amazing quality", "not worth the price", "fast shipping", "great product", "superb quality", "perfect as described", "worth every penny", "customer service was helpful", "highly recommended", "would buy again"]}, "username3": {"password": 123, "products": ["id3"], "reviews": ["fast delivery", "poor packaging", "product arrived broken", "not what I expected", "color is different", "overpriced", "excellent quality", "customer service ignored me", "works perfectly", "great buy"]}, "username4": {"password": 123, "products": ["id4"], "reviews": ["great value for money", "never buying again", "loved it", "very stylish", "does not match description", "cheap material", "exactly what I needed", "highly durable", "better than expected", "shipping was slow"]}, "username5": {"password": 123, "products": ["id5"], "reviews": ["product exceeded expectations", "color is different than shown", "worth the money", "not as advertised", "great product", "customer service 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justify-content: space-between; +} +button{ + border-radius: 20px; + background-image: linear-gradient(45deg,rgb(128, 128, 177),rgb(72, 72, 139)); + color:ghostwhite; + height:50px; +} +button:active{ + background-image: linear-gradient(135deg,rgb(128, 128, 177),rgb(72, 72, 139)); +} +button:hover{ + box-shadow: 3px 2px burlywood; +} +.reviews{ + display: flex; + flex-direction: column; +} +.review{ + height:50px; + margin-bottom: 10px; + font-size: 30px; + background-color: antiquewhite; + padding: 30px; + border-radius: 10px; +} +h2{ + font-size: 50px; +} \ No newline at end of file diff --git a/static/css/login_style.css b/static/css/login_style.css new file mode 100644 index 0000000000000000000000000000000000000000..70089102a68f5216c15a55099a8f9e920db84c30 --- /dev/null +++ b/static/css/login_style.css @@ -0,0 +1,36 @@ +.form{ + display: flex; + flex-direction: column; + border:5px solid green; + border-radius: 20px; + padding: 20px; + width: 300px; + height: 300px; + margin: auto; 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wheat; + background-color: antiquewhite; +} \ No newline at end of file diff --git a/static/css/product_style.css b/static/css/product_style.css new file mode 100644 index 0000000000000000000000000000000000000000..f35cd90a19db3fc631e5548cd304d1d6545d0837 --- /dev/null +++ b/static/css/product_style.css @@ -0,0 +1,63 @@ +.header{ +display:flex; +justify-content: space-between; +overflow-x: scroll; +scrollbar-width: 2px; +} +.header::-webkit-scrollbar{ +max-width: 0px; +} +.category{ +border:2px solid black; +width:100px; +height:50px; +border-radius: 20px; +text-align: center; +padding: 20px; +margin:10px; +} +.category:hover{ +background-color: aqua; +} +.head{ +display: flex; +justify-content: space-between; +} +#searchBox{ +width: 400px; +height: 50px; +font-size: 20px; +} +#suggestions{ + width: 320px; border: 1px solid #ccc; display: none; position: absolute; background: white; + margin-left: 600px; +} +.but{ +height: 30px; +border-radius: 10px; +background-image: linear-gradient(orange,pink); +} +.but:active{ +box-shadow: 20px; +background-image: linear-gradient(pink,orange); +} +.Products{ +display: flex; +flex-wrap: wrap; +} +.Product{ +margin: 20px; +} +#chat_with_me{ + position: fixed; + width: 100px; + height: 100px; + border-radius: 100px; + bottom: 20px; + right: 20px; + border:3px solid blue; +} +#chat_with_me:hover{ + width: 105px; + height: 105px; +} diff --git a/static/css/signup_style.css b/static/css/signup_style.css new file mode 100644 index 0000000000000000000000000000000000000000..688bf69757777a7d653025bb4c71486a42d41c42 --- /dev/null +++ b/static/css/signup_style.css @@ -0,0 +1,53 @@ +form{ + display:flex; + flex-direction: column; + width:400px; + height:350px; + border:2px solid black; + padding: 20px; + margin:auto; + border-radius: 20px; + margin-top: 10%; + background: hsla(214, 85%, 5%, 0.3); +} +.form{ + margin-bottom: 4px; +} +input{ + border-radius: 7px; +} +button{ + border-radius: 10px; + width:70px; + margin-left:auto; + margin-right: auto; + margin-top: 20px; + background-image: linear-gradient(rgb(243, 126, 126),rgb(0, 68, 128)); +} +body{ + background: linear-gradient(90deg, aqua, blue, yellow, red, pink, orange); + background-size: 200% 200%; + animation:hello 20s infinite; +} +@keyframes hello{ + 0% { + background-position: 0% 0%; /* Start position */ + background-size: 150% 200%; /* Initial size */ + } + 25% { + background-position: 50% 25%; /* Stream flows diagonally */ + background-size: 160% 220%; /* Gradual expansion */ + } + 50% { + background-position: 100% 50%; /* Moves to the right-center */ + background-size: 180% 200%; /* Further expansion */ + } + 75% { + background-position: 50% 75%; /* Stream flows back diagonally */ + background-size: 160% 180%; /* Shrink a bit */ + } + 100% { + background-position: 0% 100%; /* Loop back to the start */ + background-size: 150% 200%; /* Reset size */ + } +} \ No newline at end of file diff --git a/static/css/welcome.css 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a/static/images/pro3.jpg b/static/images/pro3.jpg new file mode 100644 index 0000000000000000000000000000000000000000..750f5d4e120e0b00cfe7d6073f765fe07163fa98 Binary files /dev/null and b/static/images/pro3.jpg differ diff --git a/static/images/sales.png b/static/images/sales.png new file mode 100644 index 0000000000000000000000000000000000000000..fafed2ff4286cb28baf3c4aa0526b4431dd9705b Binary files /dev/null and b/static/images/sales.png differ diff --git a/templates/Niche.html b/templates/Niche.html new file mode 100644 index 0000000000000000000000000000000000000000..a8acbf590e2bf13332fb0041a948fef117b90f69 --- /dev/null +++ b/templates/Niche.html @@ -0,0 +1,24 @@ + + + + + + Document + + + +
+

Are You A?

+
+
+ image_error +

Customer

+
+
+ image_error +

Seller

+
+
+
+ + \ No newline at end of file diff --git a/templates/Signup.html b/templates/Signup.html new file mode 100644 index 0000000000000000000000000000000000000000..f28a076083b601de04a1e024b48b39e88555e92e --- /dev/null +++ b/templates/Signup.html @@ -0,0 +1,29 @@ + + + + + + Signup + + + +
+

Sign-up

+ + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/templates/add_product.html b/templates/add_product.html new file mode 100644 index 0000000000000000000000000000000000000000..0b533ac3a483de6ca501391b24b04522f2f0ee46 --- /dev/null +++ b/templates/add_product.html @@ -0,0 +1,27 @@ + + + + + + Document + + + +
+ + + + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/templates/chatwindow.html b/templates/chatwindow.html new file mode 100644 index 0000000000000000000000000000000000000000..6e40c1a48ea2060e127cf97e0d335bb3e2941b06 --- /dev/null +++ b/templates/chatwindow.html @@ -0,0 +1,32 @@ + + + + + + Chat with me + + + +
+ +
+ {% if not chat %} +
+

How can I Help You Today

+
+ {% else %} +
+ {% for key,value in chat.items() %} +
+
{{key}}
+
{{value}}
+
+ {% endfor %} +
+ {% endif %} +
+ + +
+ + \ No newline at end of file diff --git a/templates/index.html b/templates/index.html new file mode 100644 index 0000000000000000000000000000000000000000..d2d6ebb30ef0ecfc397c813f18f6437ac8e229a2 --- /dev/null +++ b/templates/index.html @@ -0,0 +1,22 @@ + + + + + + Document + + + +
+
Welcome to my E-commerce Website
+ +
+ + diff --git a/templates/login.html b/templates/login.html new file mode 100644 index 0000000000000000000000000000000000000000..03da078ac04a5d4af51a4d65e15166a97659ef55 --- /dev/null +++ b/templates/login.html @@ -0,0 +1,19 @@ + + + + + + Login + + + +
+

Enter your Information

+ + + + + +
+ + \ No newline at end of file diff --git a/templates/product_panel.html b/templates/product_panel.html new file mode 100644 index 0000000000000000000000000000000000000000..80cb3b83857431093586e3d44be26f4b64ca3afa --- /dev/null +++ b/templates/product_panel.html @@ -0,0 +1,29 @@ + + + + + + {{product["name"]}} + + + + product +

{{product["name"]}}

+

{{product['price']}}

+

Description

+

{{product['description']}}

+

Recomendation

+ + + \ No newline at end of file diff --git a/templates/products.html b/templates/products.html new file mode 100644 index 0000000000000000000000000000000000000000..8ca82640b4300e8f16e10412a9be70c80e61bd60 --- /dev/null +++ b/templates/products.html @@ -0,0 +1,172 @@ + + + + + + Multimart + + + + +
+
+ +
+ +
+
+
hello
+ +
+
Clothes
+
Vehicles
+
Costmetics
+
Shoes
+
Grocery
+
Electronic
+
Sports
+
LifeStyle
+
Jewlery
+
Electronic
+
Sports
+
LifeStyle
+
Jewlery
+
+
+
+ + + + +
+ +
+ +
+ + \ No newline at end of file diff --git a/templates/seller_dashboard.html b/templates/seller_dashboard.html new file mode 100644 index 0000000000000000000000000000000000000000..b160564b08241179fe06722bb9d5203b3d6f3b32 --- /dev/null +++ b/templates/seller_dashboard.html @@ -0,0 +1,49 @@ + + + + + + Seller Dashboard + + + +
+
+ +
+

Hi {{session['user']}} lets make day of others sweet

+
+ +
+
+
+
+

Sales

+ sales +
+
+

Review Stats

+ chart_reviews +
+
+

Products

+
+ {% for id in ids %} +
+ image +

{{product[id]["name"]}}

+

{{product[id]["category"]}}

+

{{product[id]["price"]}}

+
+ {% endfor %} +
+

Reviews:

+
+ {% for review in reviews %} +
{{review}}
+ {% endfor %} +
+ + \ No newline at end of file diff --git a/tokenize_description.pkl b/tokenize_description.pkl new file mode 100644 index 0000000000000000000000000000000000000000..c4dad2b35652773a86e8466bb07dfc690aa4236f --- /dev/null +++ b/tokenize_description.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:54cac1a53721b2a05d3dbedcca40d5f54487e6fd35be4839c8c62c08465e30ab +size 3083 diff --git a/tokenz_next_word.json b/tokenz_next_word.json new file mode 100644 index 0000000000000000000000000000000000000000..cff0c7e0bb1a1c6bdf6f52082f908828813740a3 --- /dev/null +++ b/tokenz_next_word.json @@ -0,0 +1 @@ +{"\u20a8": 1, "is": 2, "000": 3, "at": 4, "for": 5, "costs": 6, "available": 7, "500": 8, "priced": 9, "999": 10, "a": 11, "the": 12, "pro": 13, "listed": 14, "gaming": 15, "1": 16, "samsung": 17, "in": 18, "cost": 19, "32": 20, "pakistan": 21, "5": 22, "8": 23, "3": 24, "45": 25, "200": 26, "10": 27, "4": 28, "leather": 29, "are": 30, "18": 31, "16": 32, "24": 33, "machine": 34, "watch": 35, "apple": 36, "15": 37, "dell": 38, "rtx": 39, "gpu": 40, "189": 41, "smart": 42, "tv": 43, "logitech": 44, "mouse": 45, "matte": 46, "foundation": 47, "9": 48, "beauty": 49, "14": 50, "12": 51, "water": 52, "nike": 53, "football": 54, "28": 55, "shoes": 56, "racket": 57, "smartwatch": 58, "bag": 59, "22": 60, "20": 61, "air": 62, "side": 63, "automatic": 64, "galaxy": 65, "s24": 66, "ultra": 67, "359": 68, "latest": 69, "iphone": 70, "max": 71, "256gb": 72, "414": 73, "xps": 74, "laptop": 75, "with": 76, "an": 77, "4060": 78, "415": 79, "sony": 80, "playstation": 81, "console": 82, "selling": 83, "google": 84, "pixel": 85, "128gb": 86, "198": 87, "macbook": 88, "m2": 89, "512gb": 90, "485": 91, "online": 92, "stores": 93, "dji": 94, "mini": 95, "drone": 96, "225": 97, "55": 98, "qled": 99, "4k": 100, "289": 101, "bose": 102, "quietcomfort": 103, "noise": 104, "canceling": 105, "headphones": 106, "78": 107, "g502": 108, "hero": 109, "17": 110, "l'or\u00e9al": 111, "paris": 112, "revitalift": 113, "night": 114, "cream": 115, "maybelline": 116, "superstay": 117, "lipstick": 118, "850": 119, "dior": 120, "sauvage": 121, "eau": 122, "de": 123, "parfum": 124, "100ml": 125, "mac": 126, "studio": 127, "fix": 128, "huda": 129, "nude": 130, "eyeshadow": 131, "palette": 132, "ordinary": 133, "niacinamide": 134, "zinc": 135, "serum": 136, "499": 137, "revlon": 138, "one": 139, "step": 140, "hair": 141, "dryer": 142, "volumizer": 143, "fenty": 144, "filt\u2019r": 145, "soft": 146, "neutrogena": 147, "hydro": 148, "boost": 149, "gel": 150, "moisturizer": 151, "chanel": 152, "coco": 153, "mademoiselle": 154, "perfume": 155, "50ml": 156, "26": 157, "mercurial": 158, "vapor": 159, "elite": 160, "boot": 161, "adidas": 162, "predator": 163, "edge": 164, "25": 165, "yonex": 166, "astrox": 167, "88d": 168, "badminton": 169, "spalding": 170, "nba": 171, "basketball": 172, "decathlon": 173, "treadmill": 174, "model": 175, "2024": 176, "165": 177, "wilson": 178, "staff": 179, "rf97": 180, "tennis": 181, "fitbit": 182, "versa": 183, "39": 184, "under": 185, "armour": 186, "compression": 187, "tights": 188, "puma": 189, "running": 190, "men's": 191, "everlast": 192, "punching": 193, "4ft": 194, "corsair": 195, "k70": 196, "rgb": 197, "mechanical": 198, "keyboard": 199, "38": 200, "razer": 201, "deathadder": 202, "v2": 203, "msi": 204, "geforce": 205, "4080": 206, "525": 207, "970": 208, "evo": 209, "plus": 210, "1tb": 211, "nvme": 212, "ssd": 213, "ultrasharp": 214, "monitor": 215, "52": 216, "hyperx": 217, "cloud": 218, "ii": 219, "wireless": 220, "headset": 221, "asus": 222, "rog": 223, "strix": 224, "z790": 225, "motherboard": 226, "92": 227, "c922": 228, "hd": 229, "webcam": 230, "seagate": 231, "2tb": 232, "external": 233, "hard": 234, "drive": 235, "anker": 236, "powercore": 237, "000mah": 238, "power": 239, "bank": 240, "7": 241, "dawlance": 242, "ton": 243, "inverter": 244, "ac": 245, "philips": 246, "fryer": 247, "xl": 248, "1l": 249, "cu": 250, "ft": 251, "by": 252, "refrigerator": 253, "399": 254, "kenwood": 255, "10kg": 256, "front": 257, "load": 258, "washing": 259, "89": 260, "panasonic": 261, "microwave": 262, "oven": 263, "25l": 264, "tcl": 265, "40": 266, "android": 267, "59": 268, "moulinex": 269, "juicer": 270, "700w": 271, "dyson": 272, "v12": 273, "cordless": 274, "vacuum": 275, "cleaner": 276, "145": 277, "orient": 278, "dispenser": 279, "2": 280, "tap": 281, "bosch": 282, "coffee": 283, "110": 284, "rolex": 285, "submariner": 286, "ray": 287, "ban": 288, "aviator": 289, "sunglasses": 290, "montblanc": 291, "wallet": 292, "fossil": 293, "gen": 294, "6": 295, "44": 296, "gucci": 297, "gg": 298, "marmont": 299, "shoulder": 300, "625": 301, "patek": 302, "philippe": 303, "nautilus": 304, "jordan": 305, "retro": 306, "sneakers": 307, "zara": 308, "men\u2019s": 309, "slim": 310, "fit": 311, "suit": 312, "levi\u2019s": 313, "501": 314, "classic": 315, "jeans": 316, "tissot": 317, "prx": 318, "170": 319} \ No newline at end of file diff --git a/vernelable_detect.onnx b/vernelable_detect.onnx new file mode 100644 index 0000000000000000000000000000000000000000..9c0be044f4ddd218a574d361f08a7cb15bce64f8 --- /dev/null +++ b/vernelable_detect.onnx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5b8eba28ae0d7641e355d61ea7eef8463e59bb515a37946bad128d0c9bd60ba5 +size 54849837