upload

app.py

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+import gradio as gr
+import joblib, numpy as np
+from pathlib import Path
+
+VECTORIZER = joblib.load("vectorizer.joblib")
+CANDIDATES = ["knn_model", "svm_model_rbf", "random_forest_model", "logistic_model"]
+models = {}
+
+for name in CANDIDATES:
+    p = Path(f"/content/{name}.joblib")
+    if p.exists():
+        models[name] = joblib.load(p)
+
+if not models:
+    raise RuntimeError("No models found. Put joblib models in ./content/")
+
+LABELS = ["Negative Comment", "Positive Comment"]
+
+def predict(text, model_name):
+    if not text.strip():
+        return ""
+
+    X = VECTORIZER.transform([text])
+    model = models[model_name]
+    y_pred = model.predict(X)[0]
+
+    if y_pred == 1:
+        return "Positive Feedback"
+    else:
+        return "Negative Feedback"
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Sentiment Demo")
+    with gr.Row():
+        with gr.Column():
+            txt = gr.Textbox(label="Review Comment", lines=6)
+            mdl = gr.Dropdown(
+                choices=list(models.keys()),
+                value=next(iter(models.keys())),
+                label="method"
+            )
+            btn = gr.Button("Submit")
+        with gr.Column():
+            pred = gr.Textbox(label="Predicted Sentiment Class")
+
+    btn.click(predict, inputs=[txt, mdl], outputs=[pred])
+
+if __name__ == "__main__":
+    demo.launch()

knn_model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ff17ffa4dd20a6fa3d54fb3c57d35c4416d10a2789cb3ce520757e5539cae48e
+size 54420

logistic_model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:99d29d5a0903db0be1467ccbf1d82a1ae320d09a9077c1bfd2b0408a3d3fac7a
+size 14079

random_forest_model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b378fee1ae527962bcdfe467cf6a264590463928b966cedd56015c650cfd5ca2
+size 11940329

requirements.txt

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+gradio>=4.0
+scikit-learn
+pandas
+numpy
+joblib

svm_model_rbf.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f938b74161c76d3b641eb5e86ca42b38cf4d252b340b6282b508a394b1d684a2
+size 60875

vectorizer.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fce7f3eb812e116442d2ca3fa8a18d962f0fdb03406a62843af9f8b0dc8d45b9
+size 20032