Duplicate from vincentclaes/emoji-predictor

Co-authored-by: claes <[email protected]>

.gitattributes

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Makefile

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+install:
+	poetry install
+	poetry run pip list --format=freeze > requirements.txt

README.md

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+---
+title: Emoji Predictor
+emoji: 😎
+colorFrom: pink
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.3.1
+app_file: app.py
+pinned: false
+license: apache-2.0
+duplicated_from: vincentclaes/emoji-predictor
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import torch
+import os
+
+from PIL import Image
+from pathlib import Path
+from more_itertools import chunked
+
+from transformers import CLIPProcessor, CLIPModel
+
+checkpoint = "vincentclaes/emoji-predictor"
+x_, _, files = next(os.walk("./emojis"))
+no_of_emojis = range(len(files))
+emojis_as_images = [Image.open(f"emojis/{i}.png") for i in no_of_emojis]
+K = 4
+
+processor = CLIPProcessor.from_pretrained(checkpoint)
+model = CLIPModel.from_pretrained(checkpoint)
+
+
+def concat_images(*images):
+    """Generate composite of all supplied images.
+    https://stackoverflow.com/a/71315656/1771155
+    """
+    # Get the widest width.
+    width = max(image.width for image in images)
+    # Add up all the heights.
+    height = max(image.height for image in images)
+    # set the correct size of width and heigtht of composite.
+    composite = Image.new('RGB', (2*width, 2*height))
+    assert K == 4, "We expect 4 suggestions, other numbers won't work."
+    for i, image in enumerate(images):
+        if i == 0:
+            composite.paste(image, (0, 0))
+        elif i == 1:
+            composite.paste(image, (width, 0))
+        elif i == 2:
+            composite.paste(image, (0, height))
+        elif i == 3:
+            composite.paste(image, (width, height))
+    return composite
+
+
+def get_emoji(text, model=model, processor=processor, emojis=emojis_as_images, K=4):
+    inputs = processor(text=text, images=emojis, return_tensors="pt", padding=True, truncation=True)
+    outputs = model(**inputs)
+
+    logits_per_text = outputs.logits_per_text
+    # we take the softmax to get the label probabilities
+    probs = logits_per_text.softmax(dim=1)
+    # top K number of options
+    predictions_suggestions_for_chunk = [torch.topk(prob, K).indices.tolist() for prob in probs][0]
+    predictions_suggestions_for_chunk
+
+    images = [Image.open(f"emojis/{i}.png") for i in predictions_suggestions_for_chunk]
+    images_concat = concat_images(*images)
+    return images_concat
+
+
+text = gr.inputs.Textbox(placeholder="Enter a text and we will try to predict an emoji...")
+title = "Predicting an Emoji"
+description = """You provide a sentence and our few-shot fine tuned CLIP model will suggest 4 from the following emoji's:
+\n❤️ 😍 😂 💕 🔥 😊 😎 ✨ 💙 😘 📷 🇺🇸 ☀ 💜 😉 💯 😁 🎄 📸 😜 ☹️ 😭 😔 😡 💢 😤 😳 🙃 😩 😠 🙈 🙄\n
+"""
+article = """
+\n
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+\n
+#### Let's connect on Linkedin: https://www.linkedin.com/in/vincent-claes-0b346337/
+\n
+# Context
+I fine tuned Open Ai's CLIP model on both text (tweets) and images of emoji's!\n
+The current model you can play with is fine-tuned on 15 samples per emoji.
+
+- model: https://huggingface.co/vincentclaes/emoji-predictor \n
+- dataset: https://huggingface.co/datasets/vincentclaes/emoji-predictor \n
+- profile: https://huggingface.co/vincentclaes \n
+
+# Precision
+
+Below you can find a table with the precision for predictions and suggestions 
+for a range of samples per emoji we fine-tuned CLIP on.
+
+### Prediction vs. Suggestion
+- The column "Prediction" indicates the precision for predicting the right emoji.
+
+- Since there can be some confusion about the right emoji for a tweet,
+I also tried to present 4 suggestions. If 1 of the 4 suggestions is the same as the label,
+I consider it a valid prediction. See the column "Suggestion".
+
+- Randomly predicting an emoji would have a precision of 1/32 or 0.0325.
+- Randomly suggesting an emoji would have a precision of 4/32 or 0.12.
+
+
+           | Samples  | Prediction  | Suggestion  |
+           |--------- |------------ |------------ |
+           |    0     |    0.13     |    0.33     |
+           |    1     |    0.11     |    0.30     |
+           |    5     |    0.14     |    0.38     |
+           |    10    |    0.20     |    0.45     |
+           |    15    |    0.22     |    0.51     |
+           |    20    |    0.19     |    0.49     |
+           |    25    |    0.24     |    0.54     |
+           |    50    |    0.23     |    0.53     |
+           |   100    |    0.25     |    0.57     |
+           |   250    |    0.29     |    0.62     |
+           |   500    |    0.29     |    0.63     |
+           
+           
+
+
+"""
+examples = [
+    "I'm so happy for you!",
+    "I'm not feeling great today.",
+    "This makes me angry!",
+    "Can I follow you?",
+    "I'm so bored right now ...",
+]
+gr.Interface(fn=get_emoji, inputs=text, outputs=gr.Image(shape=(72,72)), 
+             examples=examples, title=title, description=description,
+             article=article).launch()

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pyproject.toml

@@ -0,0 +1,18 @@
+[tool.poetry]
+name = "emoji-predictor"
+version = "0.1.0"
+description = ""
+authors = ["vincent <[email protected]>"]
+
+[tool.poetry.dependencies]
+python = "^3.9"
+torch = "^1.12.1"
+gradio = "^3.3.1"
+transformers = "^4.22.1"
+more-itertools = "^8.14.0"
+
+[tool.poetry.dev-dependencies]
+
+[build-system]
+requires = ["poetry-core>=1.0.0"]
+build-backend = "poetry.core.masonry.api"

requirements.txt

@@ -0,0 +1,75 @@
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+aiosignal==1.2.0
+analytics-python==1.4.0
+anyio==3.6.1
+async-timeout==4.0.2
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+backoff==1.10.0
+bcrypt==4.0.0
+certifi==2022.9.14
+cffi==1.15.1
+charset-normalizer==2.1.1
+click==8.1.3
+contourpy==1.0.5
+cryptography==38.0.1
+cycler==0.11.0
+fastapi==0.85.0
+ffmpy==0.3.0
+filelock==3.8.0
+fonttools==4.37.2
+frozenlist==1.3.1
+fsspec==2022.8.2
+gradio==3.3.1
+h11==0.12.0
+httpcore==0.15.0
+httpx==0.23.0
+huggingface-hub==0.9.1
+idna==3.4
+Jinja2==3.1.2
+kiwisolver==1.4.4
+linkify-it-py==1.0.3
+markdown-it-py==2.1.0
+MarkupSafe==2.1.1
+matplotlib==3.6.0
+mdit-py-plugins==0.3.0
+mdurl==0.1.2
+monotonic==1.6
+more-itertools==8.14.0
+multidict==6.0.2
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+orjson==3.8.0
+packaging==21.3
+pandas==1.4.4
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+Pillow==9.2.0
+pip==22.0.4
+pycparser==2.21
+pycryptodome==3.15.0
+pydantic==1.10.2
+pydub==0.25.1
+PyNaCl==1.5.0
+pyparsing==3.0.9
+python-dateutil==2.8.2
+python-multipart==0.0.5
+pytz==2022.2.1
+PyYAML==6.0
+regex==2022.9.13
+requests==2.28.1
+rfc3986==1.5.0
+setuptools==62.0.0
+setuptools-scm==7.0.5
+six==1.16.0
+sniffio==1.3.0
+starlette==0.20.4
+tokenizers==0.12.1
+tomli==2.0.1
+torch==1.12.1
+tqdm==4.64.1
+transformers==4.22.1
+typing_extensions==4.3.0
+uc-micro-py==1.0.1
+urllib3==1.26.12
+uvicorn==0.18.3
+websockets==10.3
+wheel==0.37.1
+yarl==1.8.1