initial commit

Drug_Book.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:33e85e2013cd38386a0137584c80bf09feb89fff37ad1f8b5d06034d82d8d90c
+size 12588296

app.py

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+import torch
+import gradio as gr
+from joblib import load
+
+# Load the saved model
+model_file = "Drug_Book.joblib"
+loaded_model = load(model_file)
+
+def predict_drug(text_input):
+    # Perform prediction using the loaded model
+    prediction = loaded_model.predict([text_input])[0]
+    drug_name = prediction[0]
+    drug_uses = prediction[1]
+    drug_dosage = prediction[2]
+
+    output_text = f"DRUG NAME:\n {drug_name}, \n\nDRUG USES:\n {drug_uses}, \n\nDRUG DOSAGE:\n {drug_dosage}\n"
+    return output_text
+
+# Create the interface
+iface = gr.Interface(
+    fn=predict_drug,
+    inputs=gr.inputs.Textbox(lines=3, label="Input Text"),
+    outputs=gr.outputs.Textbox(label="\n\nPredicted drug details\n\n")
+)
+
+# Launch the interface
+iface.launch()

drug_book_knn.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:155e6867f4b51d415b05fc954652f427c8ce9765e3f3ee2e5a55731640985eeb
+size 4754239

requirements.txt

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+gradio==3.40.0
+torch==1.13.1