Added correct vercel.json for Streamlit Vercel deployment

create_dummy_model.py

@@ -0,0 +1,31 @@
+# create_dummy_model.py
+import os
+import joblib
+from sklearn.pipeline import Pipeline
+from sklearn.feature_extraction.text import CountVectorizer
+from sklearn.linear_model import LogisticRegression
+
+# Create artifacts directory if it doesn't exist
+os.makedirs("artifacts", exist_ok=True)
+
+# Simple pipeline for demo purposes
+pipeline = Pipeline([
+    ("vectorizer", CountVectorizer()),
+    ("classifier", LogisticRegression())
+])
+
+# Train the dummy model on small sample data
+texts = [
+    "I love this product",
+    "This is great",
+    "Amazing experience",
+    "I hate this",
+    "This is bad",
+    "Terrible quality",
+]
+labels = ["positive", "positive", "positive", "negative", "negative", "negative"]
+pipeline.fit(texts, labels)
+
+# Save model artifact
+joblib.dump(pipeline, "artifacts/sentiment_pipeline.joblib")
+print("✅ Dummy sentiment model created at artifacts/sentiment_pipeline.joblib")