chatbot changes

.github/workflows/docker-image.yml

@@ -0,0 +1,62 @@
+name: Build and Push Docker Image to Docker Hub
+
+on:
+  push:
+    branches: [ "dev", "main" ]
+  pull_request:
+    branches: [ "dev", "main" ]
+
+env:
+  # Use docker.io for Docker Hub if empty
+  REGISTRY: docker.io
+  # github.repository as <account>/<repo>
+  IMAGE_NAME: ${{ github.repository }}
+
+jobs:
+
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Build the Docker image
+      run: docker build -t ushauri_api:latest . 
+  test:
+    needs: build
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - name: Test the Docker image
+        run:  docker run -p 7002:5000 --name ushauri_api -d --restart always ushauri_api:latest
+  push_to_registry:
+    needs: build
+    name: Push Docker image to Docker Hub
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check out the repo
+        uses: actions/checkout@v3
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+
+      - name: Log in to Docker Hub
+        uses: docker/login-action@f054a8b539a109f9f41c372932f1ae047eff08c9
+        with:
+          username: ${{ secrets.DOCKER_USERNAME }}
+          password: ${{ secrets.DOCKER_PASSWORD }}
+
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@98669ae865ea3cffbcbaa878cf57c20bbf1c6c38
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+
+      - name: Build and push Docker image
+        uses: docker/build-push-action@v2
+        with:
+          context: "{{defaultContext}}"
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+

routes/processes/nishauri_chatbot.py

@@ -2,15 +2,15 @@
 import sys
 
 # take passed variable values 
-question = sys.argv[1];
-#question = 'am good';
+# question = sys.argv[1];
+question = 'How do i reschedule appointment?';
 #token = sys.argv[2];
 
 
 # calcluate the total using variable values and print the output
 def chat_nishauri(question):
     from gradio_client import Client;
-    client = Client("Nishauri/ChatBot", verbose=False);
+    client = Client("http://192.168.1.44:7861", verbose=False);
     result = client.predict(
 		question,	# str  in 'question' Textbox component
 		api_name="/predict"