Update README.md
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README.md
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@@ -77,8 +77,28 @@ pipe = pipeline("text-classification", model="Zabihin/Symptom_to_Diagnosis")
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Example:
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result = pipe("I've been having headaches and migraines, and I can't sleep. My whole body shakes and twitches. Sometimes I feel lightheaded.")
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result:
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[{'label': 'drug reaction', 'score': 0.9489321112632751}]
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Example:
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result = pipe("I've been having headaches and migraines, and I can't sleep. My whole body shakes and twitches. Sometimes I feel lightheaded.")
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result:
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[{'label': 'drug reaction', 'score': 0.9489321112632751}]
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or
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from transformers import pipeline
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# Load the model
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classifier = pipeline("text-classification", model="Zabihin/Symptom_to_Diagnosis", tokenizer="Zabihin/Symptom_to_Diagnosis")
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# Example input text
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input_text = "I've been having headaches and migraines, and I can't sleep. My whole body shakes and twitches. Sometimes I feel lightheaded."
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# Get the predicted label
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result = classifier(input_text)
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# Print the predicted label
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predicted_label = result[0]['label']
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print("Predicted Label:", predicted_label)
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Predicted Label: drug reaction
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