Upload 3 files

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+import os
+from dataset_loader import load_dataset
+
+if not os.path.isdir("gift_recommending_chatbot_data"):
+    load_dataset()
+
+from gift_recommending_chatbot_data.utils import generate_gift_suggestion
+
+
+# Initialize the conversation
+conversation = []
+
+
+# Create the Gradio interface
+iface = gr.Interface(
+    title="Gift Recommending Chatbot",
+    fn=generate_gift_suggestion,
+    inputs="text",
+    outputs="text",
+    description="You can get the facebook username by his/her facebook profile link. e.g. https://www.facebook.com/username, paste in the {username}",
+)
+
+iface.queue(default_concurrency_limit=None)
+
+# Launch the app
+iface.launch()

dataset_loader.py

@@ -0,0 +1,18 @@
+from huggingface_hub import Repository
+from huggingface_hub import login
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+
+def load_dataset():
+    login(token=os.getenv("HUB_TOKEN"))
+
+    repo = Repository(
+        local_dir="gift_recommending_chatbot_data",
+        repo_type="dataset",
+        clone_from="cjzhi98/gift-recommending-chatbot",
+        token=True,
+    )
+    repo.git_pull()

requirements.txt

@@ -0,0 +1,5 @@
+gradio
+huggingface_hub
+facebook_scraper
+lxml_html_clean
+openai