Upload 12 files

.gitattributes

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+example_1.jpg filter=lfs diff=lfs merge=lfs -text
+example_2.jpg filter=lfs diff=lfs merge=lfs -text
+example_5.jpg filter=lfs diff=lfs merge=lfs -text
+example_6.jpg filter=lfs diff=lfs merge=lfs -text
+resnet50_30_categories.pkl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+title: Flower Classifier
+emoji: 🌖
+colorFrom: yellow
+colorTo: red
+sdk: gradio
+sdk_version: 5.15.0
+app_file: app.py
+pinned: false
+short_description: flower classifier
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,78 +1,141 @@
-import streamlit as st
-import torch
-import timm
+from fastai.vision.all import *
+import gradio as gr
+import fal_client
 from PIL import Image
-import torchvision.transforms as transforms
+import io
+import random
+import requests
+from pathlib import Path
 
-# Sayfa Yapılandırması (Mobil uyumlu ve sade)
-st.set_page_config(page_title="Flower Classifier", layout="centered")
+# Dictionary of plant names and their Wikipedia links
+search_terms_wikipedia = {
+    "blazing star": "https://en.wikipedia.org/wiki/Mentzelia",
+    "bristlecone pine": "https://en.wikipedia.org/wiki/Pinus_longaeva",
+    "california bluebell": "https://en.wikipedia.org/wiki/Phacelia_minor",
+    "california buckeye": "https://en.wikipedia.org/wiki/Aesculus_californica",
+    "california buckwheat": "https://en.wikipedia.org/wiki/Eriogonum_fasciculatum",
+    "california fuchsia": "https://en.wikipedia.org/wiki/Epilobium_canum",
+    "california checkerbloom": "https://en.wikipedia.org/wiki/Sidalcea_malviflora",
+    "california lilac": "https://en.wikipedia.org/wiki/Ceanothus",
+    "california poppy": "https://en.wikipedia.org/wiki/Eschscholzia_californica",
+    "california sagebrush": "https://en.wikipedia.org/wiki/Artemisia_californica",
+    "california wild grape": "https://en.wikipedia.org/wiki/Vitis_californica",
+    "california wild rose": "https://en.wikipedia.org/wiki/Rosa_californica",
+    "coyote mint": "https://en.wikipedia.org/wiki/Monardella",
+    "elegant clarkia": "https://en.wikipedia.org/wiki/Clarkia_unguiculata",
+    "baby blue eyes": "https://en.wikipedia.org/wiki/Nemophila_menziesii",
+    "hummingbird sage": "https://en.wikipedia.org/wiki/Salvia_spathacea",
+    "delphinium": "https://en.wikipedia.org/wiki/Delphinium",
+    "matilija poppy": "https://en.wikipedia.org/wiki/Romneya_coulteri",
+    "blue-eyed grass": "https://en.wikipedia.org/wiki/Sisyrinchium_bellum",
+    "penstemon spectabilis": "https://en.wikipedia.org/wiki/Penstemon_spectabilis",
+    "seaside daisy": "https://en.wikipedia.org/wiki/Erigeron_glaucus",
+    "sticky monkeyflower": "https://en.wikipedia.org/wiki/Diplacus_aurantiacus",
+    "tidy tips": "https://en.wikipedia.org/wiki/Layia_platyglossa",
+    "wild cucumber": "https://en.wikipedia.org/wiki/Marah_(plant)",
+    "douglas iris": "https://en.wikipedia.org/wiki/Iris_douglasiana",
+    "goldfields coreopsis": "https://en.wikipedia.org/wiki/Coreopsis"
+}
 
-st.title("🌸 Flower Species Identifier")
-st.write("Upload a flower photo to see the prediction.")
+# Templates for AI image generation
+prompt_templates = [
+    "A dreamy Picasso-like scene of a {flower} on a misty morning trail, with golden sunbeams filtering through towering redwoods, and a curious hummingbird hovering nearby.",
+    "A loose, expressive watercolor sketch of a {flower} in a wild meadow, surrounded by dancing butterflies and morning dew drops sparkling like diamonds in the dawn light.",
+    "An artist's nature journal page featuring a detailed {flower} study, with delicate ink lines and soft crayon etching, complete with small sketches of bees and field notes in the margins.",
+    "A vibrant plein air painting of a {flower} patch along a coastal hiking trail, with crashing waves and rugged cliffs in the background, painted in bold, energetic brushstrokes.",
+    "A whimsical mixed-media scene of a {flower} garden at sunrise, combining loose watercolor washes with detailed botanical illustrations, featuring hidden wildlife and morning fog rolling through the valley.",
+    "In a dim, graffiti-covered subway station, a vibrant spray-painted {flower} with neon petals and shimmering gold accents blooms defiantly on a grimy tiled wall, its dripping paint and curling vines injecting unexpected life into the underground gloom.",
+    "Amid a bleak industrial wasteland strewn with rusted metal and trash, a single {flower} bathed in a shaft of golden light stands in stark contrast, its delicate form glowing with quiet resilience against the surrounding decay."
+]
 
-# 1. Sınıf İsimlerini Tanımla (Notebook'undan aldık)
-class_names = [
-    'pink primrose', 'hard-leaved pocket orchid', 'canterbury bells', 'sweet pea', 'wild geranium',
-    'tiger lily', 'moon orchid', 'bird of paradise', 'monkshood', 'globe thistle',
-    'snapdragon', "colt's foot", 'king protea', 'spear thistle', 'yellow iris',
-    'globe-flower', 'purple coneflower', 'peruvian lily', 'balloon flower', 'giant white arum lily',
-    'fire lily', 'pincushion flower', 'fritillary', 'red ginger', 'grape hyacinth',
-    'corn poppy', 'prince of wales feathers', 'stemless gentian', 'artichoke', 'sweet william',
-    'carnation', 'garden phlox', 'love in the mist', 'cosmos', 'alpine sea holly',
-    'ruby-lipped cattleya', 'cape flower', 'great masterwort', 'siam tulip', 'lenten rose',
-    'barberton daisy', 'daffodil', 'sword lily', 'poinsettia', 'bolero deep blue',
-    'wallflower', 'marigold', 'buttercup', 'daisy', 'common dandelion',
-    'petunia', 'wild pansy', 'primula', 'sunflower', 'lilac hibiscus',
-    'bishop of llandaff', 'gaura', 'geranium', 'orange dahlia', 'pink-yellow dahlia',
-    'cautleya spicata', 'japanese anemone', 'black-eyed susan', 'silverbush', 'californian poppy',
-    'osteospermum', 'spring crocus', 'iris', 'windflower', 'tree poppy',
-    'gazania', 'azalea', 'water lily', 'rose', 'thorn apple',
-    'morning glory', 'passion flower', 'lotus', 'toad lily', 'anthurium',
-    'frangipani', 'clematis', 'hibiscus', 'columbine', 'desert-rose',
-    'tree mallow', 'magnolia', 'cyclamen ', 'watercress', 'canna lily',
-    'hippeastrum ', 'bee balm', 'pink quill', 'foxglove', 'bougainvillea',
-    'camellia', 'mallow', 'mexican petunia', 'bromelia', 'blanket flower',
-    'trumpet creeper', 'blackberry lily', 'common tulip', 'wild rose'
+# Example images (using local paths)
+example_images = [
+    str(Path('example_images/example_1.jpg')),
+    str(Path('example_images/example_2.jpg')),
+    str(Path('example_images/example_3.jpg')),
+    str(Path('example_images/example_4.jpg')),
+    str(Path('example_images/example_5.jpg'))
+    
 ]
 
-# 2. Modeli Yükleme Fonksiyonu
-@st.cache_resource
-def load_model():
-    # Model ismi tam olarak notebook'taki gibi olmalı
-    model_name = 'swin_large_patch4_window12_384'
-    model = timm.create_model(model_name, pretrained=False, num_classes=104)
+# Function to handle AI generation progress updates
+def on_queue_update(update):
+    if isinstance(update, fal_client.InProgress):
+        for log in update.logs:
+           print(log["message"])
+
+# Main function to process the uploaded image
+def process_image(img):
+    # Classify the image
+    predicted_class, _, probs = learn.predict(img)
+    classification_results = dict(zip(learn.dls.vocab, map(float, probs)))
     
-    # Kaggle'dan indirdiğin dosya adı
-    checkpoint = torch.load("best_model.pt", map_location=torch.device('cpu'))
+    # Get Wikipedia link
+    wiki_url = search_terms_wikipedia.get(predicted_class, "No Wikipedia entry found.")
     
-    # Sözlük yapısına göre yükle
-    model.load_state_dict(checkpoint['model_state_dict'])
-    model.eval()
-    return model
-
-model = load_model()
+    # Generate artistic interpretation by calling the Flux API
+    result = fal_client.subscribe(
+        "fal-ai/flux/schnell",
+        arguments={
+            "prompt": random.choice(prompt_templates).format(flower=predicted_class),
+            "image_size": "portrait_4_3"
+        },
+        with_logs=True,
+        on_queue_update=on_queue_update,
+    )
+    
+    # Get the generated image
+    image_url = result['images'][0]['url']
+    response = requests.get(image_url)
+    generated_image = Image.open(io.BytesIO(response.content))
+    
+    return classification_results, generated_image, wiki_url
 
-# 3. Görüntü Ön İşleme (384x384 boyutuna dikkat!)
-transform = transforms.Compose([
-    transforms.Resize((384, 384)),
-    transforms.ToTensor(),
-    transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
-])
+# Function to clear all outputs
+def clear_outputs():
+    return {
+        label_output: None,
+        generated_image: None,
+        wiki_output: None
+    }
 
-# 4. Arayüz
-uploaded_file = st.file_uploader("Upload an image...", type=["jpg", "jpeg", "png"])
+# Load the AI model
+learn = load_learner('resnet50_30_categories.pkl')
 
-if uploaded_file:
-    image = Image.open(uploaded_file).convert('RGB')
-    st.image(image, caption='Uploaded Photo', use_container_width=True)
+# Create the web interface
+with gr.Blocks() as demo:
+    # Input section
+    with gr.Row():
+        input_image = gr.Image(height=230, width=230, label="Upload Image for Classification", type="pil")
+    
+    # Output section
+    with gr.Row():
+        with gr.Column():
+            label_output = gr.Label(label="Classification Results")
+            wiki_output = gr.Textbox(label="Wikipedia Article Link", lines=1)
+        generated_image = gr.Image(label="AI Generated Interpretation")
+    
+    # Add example images using local paths
+    gr.Examples(
+        examples=example_images,
+        inputs=input_image,
+        examples_per_page=6,
+        fn=process_image,
+        outputs=[label_output, generated_image, wiki_output]
+    )
+    
+    # Set up what happens when an image is uploaded or removed
+    input_image.change(
+        fn=process_image,
+        inputs=input_image,
+        outputs=[label_output, generated_image, wiki_output]
+    )
     
-    # Tahmin
-    input_tensor = transform(image).unsqueeze(0)
-    with torch.no_grad():
-        output = model(input_tensor)
-        probs = torch.nn.functional.softmax(output[0], dim=0)
-        confidence, class_idx = torch.max(probs, 0)
+    input_image.clear(
+        fn=clear_outputs,
+        inputs=[],
+        outputs=[label_output, generated_image, wiki_output]
+    )
 
-    # Sonuçları Yazdır
-    st.success(f"### Prediction: {class_names[class_idx.item()].title()}")
-    st.info(f"Confidence: {confidence.item():.2%}")
+# Start the application
+demo.launch(inline=False)

from fastai.vision.all import.txt

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+from fastai.vision.all import *
+import gradio as gr
+import fal_client
+from PIL import Image
+import io
+import random
+import requests
+from pathlib import Path
+
+# =========================================================
+# WIKIPEDIA LINKS
+# =========================================================
+search_terms_wikipedia = {
+    "blazing star": "https://en.wikipedia.org/wiki/Mentzelia",
+    "bristlecone pine": "https://en.wikipedia.org/wiki/Pinus_longaeva",
+    "california bluebell": "https://en.wikipedia.org/wiki/Phacelia_minor",
+    "california buckeye": "https://en.wikipedia.org/wiki/Aesculus_californica",
+    "california buckwheat": "https://en.wikipedia.org/wiki/Eriogonum_fasciculatum",
+    "california fuchsia": "https://en.wikipedia.org/wiki/Epilobium_canum",
+    "california checkerbloom": "https://en.wikipedia.org/wiki/Sidalcea_malviflora",
+    "california lilac": "https://en.wikipedia.org/wiki/Ceanothus",
+    "california poppy": "https://en.wikipedia.org/wiki/Eschscholzia_californica",
+    "california sagebrush": "https://en.wikipedia.org/wiki/Artemisia_californica",
+    "california wild grape": "https://en.wikipedia.org/wiki/Vitis_californica",
+    "california wild rose": "https://en.wikipedia.org/wiki/Rosa_californica",
+    "coyote mint": "https://en.wikipedia.org/wiki/Monardella",
+    "elegant clarkia": "https://en.wikipedia.org/wiki/Clarkia_unguiculata",
+    "baby blue eyes": "https://en.wikipedia.org/wiki/Nemophila_menziesii",
+    "hummingbird sage": "https://en.wikipedia.org/wiki/Salvia_spathacea",
+    "delphinium": "https://en.wikipedia.org/wiki/Delphinium",
+    "matilija poppy": "https://en.wikipedia.org/wiki/Romneya_coulteri",
+    "blue-eyed grass": "https://en.wikipedia.org/wiki/Sisyrinchium_bellum",
+    "penstemon spectabilis": "https://en.wikipedia.org/wiki/Penstemon_spectabilis",
+    "seaside daisy": "https://en.wikipedia.org/wiki/Erigeron_glaucus",
+    "sticky monkeyflower": "https://en.wikipedia.org/wiki/Diplacus_aurantiacus",
+    "tidy tips": "https://en.wikipedia.org/wiki/Layia_platyglossa",
+    "wild cucumber": "https://en.wikipedia.org/wiki/Marah_(plant)",
+    "douglas iris": "https://en.wikipedia.org/wiki/Iris_douglasiana",
+    "goldfields coreopsis": "https://en.wikipedia.org/wiki/Coreopsis"
+}
+
+# =========================================================
+# AI PROMPTS
+# =========================================================
+prompt_templates = [
+
+    "A dreamy watercolor painting of a {flower} in a magical forest with glowing sunlight and butterflies.",
+
+    "A cinematic artistic interpretation of a {flower} blooming beside a mountain trail at sunrise.",
+
+    "A fantasy botanical artwork featuring a {flower} surrounded by mist and colorful wildlife.",
+
+    "An impressionist oil painting of a {flower} field with vibrant brush strokes and golden light.",
+
+    "A detailed nature journal illustration of a {flower} with artistic sketches and handwritten notes."
+]
+
+# =========================================================
+# EXAMPLE IMAGES
+# =========================================================
+example_images = [
+    str(Path("example_images/example_1.jpg")),
+    str(Path("example_images/example_2.jpg")),
+    str(Path("example_images/example_3.jpg")),
+    str(Path("example_images/example_4.jpg")),
+    str(Path("example_images/example_5.jpg"))
+]
+
+# =========================================================
+# LOAD MODEL
+# =========================================================
+learn = load_learner("resnet50_30_categories.pkl")
+
+# =========================================================
+# FAL LOGS
+# =========================================================
+def on_queue_update(update):
+
+    if isinstance(update, fal_client.InProgress):
+
+        for log in update.logs:
+
+            print(log["message"])
+
+# =========================================================
+# MAIN FUNCTION
+# =========================================================
+def process_image(
+    img,
+    art_style,
+    creativity_level,
+    image_quality
+):
+
+    if img is None:
+
+        return (
+            None,
+            None,
+            "⚠️ Please upload a flower image.",
+            {}
+        )
+
+    # =====================================================
+    # CLASSIFICATION
+    # =====================================================
+    predicted_class, _, probs = learn.predict(img)
+
+    classification_results = dict(
+        zip(
+            learn.dls.vocab,
+            map(float, probs)
+        )
+    )
+
+    confidence = max(classification_results.values()) * 100
+
+    # =====================================================
+    # WIKIPEDIA
+    # =====================================================
+    wiki_url = search_terms_wikipedia.get(
+        predicted_class,
+        "No article found."
+    )
+
+    # =====================================================
+    # AI PROMPT
+    # =====================================================
+    prompt = random.choice(
+        prompt_templates
+    ).format(
+        flower=predicted_class
+    )
+
+    final_prompt = f"""
+{prompt}
+
+Style: {art_style}
+
+Creativity Level: {creativity_level}
+
+Image Quality: {image_quality}
+"""
+
+    # =====================================================
+    # IMAGE GENERATION
+    # =====================================================
+    result = fal_client.subscribe(
+        "fal-ai/flux/schnell",
+        arguments={
+            "prompt": final_prompt,
+            "image_size": "portrait_4_3"
+        },
+        with_logs=True,
+        on_queue_update=on_queue_update,
+    )
+
+    image_url = result["images"][0]["url"]
+
+    response = requests.get(image_url)
+
+    generated_image = Image.open(
+        io.BytesIO(response.content)
+    )
+
+    # =====================================================
+    # RESULT TEXT
+    # =====================================================
+    result_text = f"""
+# 🌸 Flower Classification Complete
+
+### Predicted Flower:
+## {predicted_class.title()}
+
+### Confidence Score:
+## {confidence:.2f}%
+
+### AI artistic interpretation generated successfully.
+"""
+
+    # =====================================================
+    # TOP PROBABILITIES
+    # =====================================================
+    sorted_results = dict(
+        sorted(
+            classification_results.items(),
+            key=lambda x: x[1],
+            reverse=True
+        )[:5]
+    )
+
+    return (
+        generated_image,
+        wiki_url,
+        result_text,
+        sorted_results
+    )
+
+# =========================================================
+# CUSTOM CSS
+# =========================================================
+custom_css = """
+body {
+    background: #f5f7fb;
+    font-family: 'Segoe UI', sans-serif;
+}
+
+.gradio-container {
+    max-width: 1350px !important;
+    margin: auto;
+}
+
+.hero {
+    background: linear-gradient(135deg,#065f46,#16a34a);
+    padding: 40px;
+    border-radius: 30px;
+    color: white;
+    margin-bottom: 20px;
+}
+
+.hero h1 {
+    font-size: 52px;
+    font-weight: 800;
+    margin-bottom: 10px;
+}
+
+.hero p {
+    font-size: 18px;
+    opacity: 0.92;
+}
+
+.card {
+    background: white;
+    border-radius: 24px;
+    padding: 22px;
+    box-shadow: 0 6px 18px rgba(0,0,0,0.08);
+}
+
+button {
+    height: 60px !important;
+    border-radius: 18px !important;
+    border: none !important;
+    background: linear-gradient(135deg,#16a34a,#15803d) !important;
+    color: white !important;
+    font-size: 20px !important;
+    font-weight: 700 !important;
+}
+
+button:hover {
+    background: linear-gradient(135deg,#15803d,#166534) !important;
+}
+
+input, textarea, select {
+    border-radius: 16px !important;
+}
+
+@media (max-width:768px){
+
+    .hero {
+        padding: 22px;
+    }
+
+    .hero h1 {
+        font-size: 32px;
+    }
+
+    .hero p {
+        font-size: 15px;
+    }
+
+    button {
+        height: 54px !important;
+        font-size: 17px !important;
+    }
+}
+"""
+
+# =========================================================
+# HERO SECTION
+# =========================================================
+hero_html = """
+<div class="hero">
+
+<h1>🌸 AI Flower Classifier & Art Generator</h1>
+
+<p>
+Upload flower images, identify plant species instantly, and generate AI-powered artistic interpretations.
+Modern responsive interface optimized for mobile and desktop devices.
+</p>
+
+</div>
+"""
+
+# =========================================================
+# INTERFACE
+# =========================================================
+with gr.Blocks(
+    css=custom_css,
+    theme=gr.themes.Soft(
+        primary_hue="green",
+        secondary_hue="emerald"
+    )
+) as demo:
+
+    gr.HTML(hero_html)
+
+    # =====================================================
+    # TOP INFO
+    # =====================================================
+    with gr.Row():
+
+        with gr.Column():
+            gr.Markdown("""
+### ⚡ Fast AI Recognition
+Instant flower classification
+""")
+
+        with gr.Column():
+            gr.Markdown("""
+### 🎨 AI Art Generator
+Create artistic flower scenes
+""")
+
+        with gr.Column():
+            gr.Markdown("""
+### 📱 Mobile Responsive
+Optimized modern UI
+""")
+
+    # =====================================================
+    # MAIN AREA
+    # =====================================================
+    with gr.Row():
+
+        # =================================================
+        # LEFT SIDE
+        # =================================================
+        with gr.Column(scale=1):
+
+            input_image = gr.Image(
+                type="pil",
+                label="🌸 Upload Flower Image"
+            )
+
+            art_style = gr.Dropdown(
+                choices=[
+                    "Watercolor",
+                    "Oil Painting",
+                    "Fantasy Art",
+                    "Impressionist",
+                    "Botanical Illustration"
+                ],
+                value="Watercolor",
+                label="🎨 Art Style"
+            )
+
+            creativity_level = gr.Slider(
+                minimum=10,
+                maximum=100,
+                value=75,
+                step=5,
+                label="🧠 Creativity Level"
+            )
+
+            image_quality = gr.Dropdown(
+                choices=[
+                    "Standard",
+                    "High",
+                    "Ultra"
+                ],
+                value="High",
+                label="✨ Image Quality"
+            )
+
+            generate_btn = gr.Button(
+                "🚀 Analyze & Generate Art",
+                variant="primary"
+            )
+
+        # =================================================
+        # RIGHT SIDE
+        # =================================================
+        with gr.Column(scale=1):
+
+            output_image = gr.Image(
+                label="🖌️ AI Artistic Interpretation"
+            )
+
+            wiki_output = gr.Textbox(
+                label="📚 Wikipedia Article",
+                lines=1
+            )
+
+            result_output = gr.Markdown()
+
+            probability_output = gr.Label(
+                label="📊 Top Predictions"
+            )
+
+    # =====================================================
+    # EXAMPLES
+    # =====================================================
+    gr.Examples(
+        examples=example_images,
+        inputs=input_image
+    )
+
+    # =====================================================
+    # BUTTON ACTION
+    # =====================================================
+    generate_btn.click(
+        fn=process_image,
+        inputs=[
+            input_image,
+            art_style,
+            creativity_level,
+            image_quality
+        ],
+        outputs=[
+            output_image,
+            wiki_output,
+            result_output,
+            probability_output
+        ]
+    )
+
+# =========================================================
+# LAUNCH
+# =========================================================
+demo.launch()

gitattributes

@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
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requirements.txt

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+gradio
+fastai<2.8.0
+fal-client

resnet50_30_categories.pkl

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