Azie88
commited on
Commit
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4f6d6df
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Parent(s):
3435fe7
Initial Commit
Browse files- .gitignore +1 -0
- app.py +52 -0
- requirements.txt +64 -0
.gitignore
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venv/
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app.py
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from transformers import AutoModelForSequenceClassification
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from transformers import AutoTokenizer, AutoConfig
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from scipy.special import softmax
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import gradio as gr
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model_path = f"Azie88/Coachella_sentiment_analysis_roberta"
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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config = AutoConfig.from_pretrained(model_path)
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model = AutoModelForSequenceClassification.from_pretrained(model_path)
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# Preprocess text (username and link placeholders)
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def preprocess(text):
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new_text = []
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for t in text.split(" "):
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t = '@user' if t.startswith('@') and len(t) > 1 else t
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t = 'http' if t.startswith('http') else t
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new_text.append(t)
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return " ".join(new_text)
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def sentiment_analysis(text):
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text = preprocess(text)
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# Tokenization and Class Prediction
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encoded_input = tokenizer(text, return_tensors='pt')
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output = model(**encoded_input)
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scores_ = output[0][0].detach().numpy()
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scores_ = softmax(scores_)
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# Format output dict of scores
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labels = ['Negative', 'Neutral', 'Positive']
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scores = {l:float(s) for (l,s) in zip(labels, scores_) }
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return scores
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demo = gr.Interface(theme=gr.themes.Base(),
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fn=sentiment_analysis,
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inputs=gr.Textbox(placeholder="Write your tweet here..."),
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outputs="label",
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# interpretation="default",
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examples=[["OMG the Coachella lineup is 🔥"],
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["This lineup is so trash…"],
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["Coachella starts tomorrow."]]
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title='Coachella Tweet Sentiment Analysis app',
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description='This app assesses if a tweet related to the #Coachella festival has a positive, neutral or negative sentiment.'
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)
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demo.launch()
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requirements.txt
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aiofiles==24.1.0
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annotated-types==0.7.0
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anyio==4.9.0
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certifi==2025.4.26
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charset-normalizer==3.4.2
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click==8.2.1
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colorama==0.4.6
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fastapi==0.115.12
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ffmpy==0.6.0
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filelock==3.18.0
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fsspec==2025.5.1
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gradio==5.33.0
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gradio_client==1.10.2
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groovy==0.1.2
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h11==0.16.0
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httpcore==1.0.9
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httpx==0.28.1
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huggingface-hub==0.32.4
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idna==3.10
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Jinja2==3.1.6
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markdown-it-py==3.0.0
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MarkupSafe==3.0.2
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mdurl==0.1.2
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mpmath==1.3.0
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networkx==3.4.2
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numpy==2.2.6
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orjson==3.10.18
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packaging==25.0
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pandas==2.3.0
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pillow==11.2.1
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pydantic==2.11.5
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pydantic_core==2.33.2
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pydub==0.25.1
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Pygments==2.19.1
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python-dateutil==2.9.0.post0
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python-multipart==0.0.20
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pytz==2025.2
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PyYAML==6.0.2
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regex==2024.11.6
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requests==2.32.3
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rich==14.0.0
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ruff==0.11.13
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safehttpx==0.1.6
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safetensors==0.5.3
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scipy==1.15.3
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semantic-version==2.10.0
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setuptools==80.9.0
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shellingham==1.5.4
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six==1.17.0
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sniffio==1.3.1
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starlette==0.46.2
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sympy==1.14.0
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tokenizers==0.21.1
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tomlkit==0.13.3
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torch==2.7.1
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tqdm==4.67.1
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transformers==4.52.4
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typer==0.16.0
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typing-inspection==0.4.1
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typing_extensions==4.14.0
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tzdata==2025.2
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urllib3==2.4.0
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uvicorn==0.34.3
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websockets==15.0.1
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