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Commit ·
55702b8
1
Parent(s): fa0f53f
Add debug error handling
Browse files
app.py
CHANGED
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@@ -2,9 +2,7 @@ import gradio as gr
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import requests
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import os
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# Load API token from environment variable
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HF_TOKEN = os.environ.get("HF_TOKEN")
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API_URL = "https://api-inference.huggingface.co/models/Hate-speech-CNERG/dehatebert-mono-english"
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def query(text):
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@@ -16,32 +14,35 @@ def predict(comment):
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if not comment.strip():
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return "⚠️ Please enter some text.", ""
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if
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return
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# Gradio UI
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demo = gr.Interface(
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fn=predict,
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inputs=gr.Textbox(
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lines=4,
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placeholder="Enter a comment to analyze...",
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label="Comment"
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),
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outputs=[
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gr.Textbox(label="Prediction"),
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gr.Textbox(label="Confidence")
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import requests
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import os
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HF_TOKEN = os.environ.get("HF_TOKEN")
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API_URL = "https://api-inference.huggingface.co/models/Hate-speech-CNERG/dehatebert-mono-english"
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def query(text):
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if not comment.strip():
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return "⚠️ Please enter some text.", ""
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try:
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result = query(comment)
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# Show raw result for debugging
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if isinstance(result, dict):
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return f"API Error: {result}", ""
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if isinstance(result, list):
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result = result[0][0]
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label = result["label"]
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score = result["score"]
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if label == "HATE":
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prediction = "🚨 Hate Speech Detected"
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probability = round(score * 100, 2)
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else:
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prediction = "✅ No Hate Speech"
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probability = round((1 - score) * 100, 2)
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return prediction, f"{probability}%"
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return f"Unexpected response: {result}", ""
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except Exception as e:
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return f"Exception: {str(e)}", ""
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demo = gr.Interface(
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fn=predict,
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inputs=gr.Textbox(lines=4, placeholder="Enter a comment...", label="Comment"),
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outputs=[
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gr.Textbox(label="Prediction"),
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gr.Textbox(label="Confidence")
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