update to use gradio
Browse files- .gradio/certificate.pem +31 -0
- app.py +19 -31
.gradio/certificate.pem
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-----BEGIN CERTIFICATE-----
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MIIFazCCA1OgAwIBAgIRAIIQz7DSQONZRGPgu2OCiwAwDQYJKoZIhvcNAQELBQAw
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MTCCAiIwDQYJKoZIhvcNAQEBBQADggIPADCCAgoCggIBAK3oJHP0FDfzm54rVygc
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-----END CERTIFICATE-----
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app.py
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from transformers import pipeline
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# Initialize Flask app
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app = Flask(__name__)
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# Load language detection model from Hugging Face
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lang_classifier = pipeline("text-classification", model="papluca/xlm-roberta-base-language-detection")
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# Load hate speech detection model from Hugging Face
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hate_classifier = pipeline("text-classification", model="Hate-speech-CNERG/dehatebert-mono-english")
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return jsonify({"message": "Language & Hate Speech API is running!"})
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# Route: Detect Language
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@app.route("/detect-language", methods=["POST"])
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def detect_language():
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data = request.json
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text = data.get("text", "").strip()
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if not text:
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return jsonify({"error": "No text provided"}), 400
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def detect_hate_speech():
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data = request.json
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text = data.get("text", "").strip()
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return jsonify({"error": "No text provided"}), 400
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#
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app.run(host="0.0.0.0", port=7860)
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import gradio as gr
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from transformers import pipeline
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# Load language detection model from Hugging Face
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lang_classifier = pipeline("text-classification", model="papluca/xlm-roberta-base-language-detection")
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# Load hate speech detection model from Hugging Face
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hate_classifier = pipeline("text-classification", model="Hate-speech-CNERG/dehatebert-mono-english")
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def analyze_text(text):
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if not text.strip():
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return {"error": "No text provided"}, {"error": "No text provided"}
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lang_result = lang_classifier(text)
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hate_result = hate_classifier(text)
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language_output = {"language": lang_result[0]['label'], "confidence": lang_result[0]['score']}
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hate_output = {"label": hate_result[0]['label'], "score": hate_result[0]['score']}
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return language_output, hate_output
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# Define the Gradio interface
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iface = gr.Interface(
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fn=analyze_text, # Use the combined function
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inputs=gr.Textbox(label="Enter text"),
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outputs=[gr.JSON(label="Language Detection"), gr.JSON(label="Hate Speech Detection")],
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title="Language & Hate Speech Detection",
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description="Enter text to detect its language and check for hate speech."
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)
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# Launch the Gradio app
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iface.launch(server_name="0.0.0.0", server_port=7860, share=True)
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