Adding files.

Readme.md

@@ -1,8 +1,9 @@
 title: IMDb Sentiment Analysis
-emoji: 🎬
-colorFrom: blue
-colorTo: green
-sdk: streamlit
-sdk_version: "1.10.0"
+emoji: 📚
+colorFrom: pink
+colorTo: gray
+sdk: gradio
+sdk_version: 4.36.1
 app_file: app.py
-pinned: false
+pinned: false
+license: apache-2.0

app.py

@@ -0,0 +1,14 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the pre-trained sentiment-analysis pipeline
+classifier = pipeline('sentiment-analysis')
+
+# Function to classify sentiment
+def classify_text(text):
+    result = classifier(text)[0]
+    return f"{result['label']} with score {result['score']}"
+
+# Set up the Gradio interface
+iface = gr.Interface(fn=classify_text, inputs="text", outputs="text")
+iface.launch()

docker-compose.yml

@@ -1,96 +0,0 @@
-version: '3.8'
-
-services:
-  zookeeper:
-    image: confluentinc/cp-zookeeper:latest
-    environment:
-      ZOOKEEPER_CLIENT_PORT: 2181
-      ZOOKEEPER_TICK_TIME: 2000
-    ports:
-      - "2181:2181"
-
-  kafka:
-    image: confluentinc/cp-kafka:latest
-    depends_on:
-      - zookeeper
-    environment:
-      KAFKA_BROKER_ID: 1
-      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
-      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:9092,OUTSIDE://host.docker.internal:9093
-      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,OUTSIDE:PLAINTEXT
-      KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT
-      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
-    ports:
-      - "9092:9092"
-      - "9093:9093"
-
-  schema-registry:
-    image: confluentinc/cp-schema-registry:latest
-    depends_on:
-      - kafka
-    environment:
-      SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: PLAINTEXT://kafka:9092
-      SCHEMA_REGISTRY_HOST_NAME: schema-registry
-      SCHEMA_REGISTRY_LISTENERS: http://0.0.0.0:8081
-    ports:
-      - "8081:8081"
-
-  control-center:
-    image: confluentinc/cp-enterprise-control-center:latest
-    depends_on:
-      - kafka
-      - schema-registry
-    environment:
-      CONTROL_CENTER_BOOTSTRAP_SERVERS: kafka:9092
-      CONTROL_CENTER_ZOOKEEPER_CONNECT: zookeeper:2181
-      CONTROL_CENTER_SCHEMA_REGISTRY_URL: http://schema-registry:8081
-      CONTROL_CENTER_REPLICATION_FACTOR: 1
-      CONTROL_CENTER_INTERNAL_TOPICS_PARTITIONS: 1
-      CONTROL_CENTER_MONITORING_INTERCEPTOR_TOPIC_PARTITIONS: 1
-      CONTROL_CENTER_CONNECT_CLUSTER: http://localhost:8083
-    ports:
-      - "9021:9021"
-
-  kafka-init:
-    image: confluentinc/cp-kafka:latest
-    depends_on:
-      - kafka
-    entrypoint: ["/bin/sh", "-c", "cub kafka-ready -b kafka:9092 1 20 && kafka-topics --create --topic order-topic --partitions 1 --replication-factor 1 --if-not-exists --bootstrap-server kafka:9092 && kafka-topics --create --topic calculation-requests --partitions 1 --replication-factor 1 --if-not-exists --bootstrap-server kafka:9092"]
-    environment:
-      LOG_DIR: /tmp
-
-  order-service:
-    build:
-      context: ./order-service
-      dockerfile: Dockerfile
-    depends_on:
-      - kafka
-    environment:
-      SPRING_KAFKA_BOOTSTRAP_SERVERS: kafka:9092
-      SPRING_DATASOURCE_URL: jdbc:h2:mem:testdb
-    ports:
-      - "8081:8081"
-
-  inventory-service:
-    build:
-      context: ./inventory-service
-      dockerfile: Dockerfile
-    depends_on:
-      - kafka
-    environment:
-      SPRING_KAFKA_BOOTSTRAP_SERVERS: kafka:9092
-      SPRING_DATASOURCE_URL: jdbc:h2:mem:testdb
-    ports:
-      - "8082:8082"
-
-  calculator-service:
-    build:
-      context: ./calculator-service
-      dockerfile: Dockerfile
-    depends_on:
-      - kafka
-    environment:
-      SPRING_KAFKA_BOOTSTRAP_SERVERS: kafka:9092
-      SPRING_DATASOURCE_URL: jdbc:h2:mem:testdb
-    ports:
-      - "8083:8083"

requirements.txt

@@ -0,0 +1,4 @@
+datasets
+transformers
+torch
+gradio