Update app.py

app.py

@@ -28,9 +28,10 @@ from gradio import inputs, outputs
 import huggingface_hub
 from huggingface_hub import Repository, hf_hub_download, upload_file
 from datetime import datetime
-DATASET_REPO_URL = "https://huggingface.co/datasets/awacke1/Carddata.csv"
-DATASET_REPO_ID = "awacke1/Carddata.csv"
-DATA_FILENAME = "Carddata.csv"
+# created new dataset as awacke1/MindfulStory.csv
+DATASET_REPO_URL = "https://huggingface.co/datasets/awacke1/MindfulStory.csv"
+DATASET_REPO_ID = "awacke1/MindfulStory.csv"
+DATA_FILENAME = "MindfulStory.csv"
 DATA_FILE = os.path.join("data", DATA_FILENAME)
 HF_TOKEN = os.environ.get("HF_TOKEN")
 
@@ -44,6 +45,7 @@ if (!window.hasBeenRun) {
 </script>
 """
 
+# Download dataset repo using hub download
 try:
     hf_hub_download(
         repo_id=DATASET_REPO_ID,
@@ -53,6 +55,8 @@ try:
     )
 except:
     print("file not found")
+
+# Set up cloned dataset from repo for operations
 repo = Repository(
     local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
 )
@@ -76,7 +80,7 @@ def generate_html() -> str:
             html += "</div>"
             return html
             
-def store_message(name: str, message: str):
+def persist_memory(name: str, message: str):
     if name and message:
         with open(DATA_FILE, "a") as csvfile:
             writer = csv.DictWriter(csvfile, fieldnames=["name", "message", "time"])
@@ -87,7 +91,7 @@ def store_message(name: str, message: str):
     return ""
     
 iface = gr.Interface(
-    store_message,
+    persist_memory,
     [
         inputs.Textbox(placeholder="Your name"),
         inputs.Textbox(placeholder="Your message", lines=2),
@@ -100,9 +104,19 @@ iface = gr.Interface(
 
     #store_message(message, response) # Save to dataset
     
+#generator2 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-2.7B", api_key=HF_TOKEN)
+#generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B", api_key=HF_TOKEN)
+#generator1 = gr.Interface.load("huggingface/gpt2-large", api_key=HF_TOKEN)
+
+#greeter_1 = gr.Interface(lambda name: f"Hello {name}!", inputs="textbox", outputs=gr.Textbox(label="Greeter 1"))
+#greeter_2 = gr.Interface(lambda name: f"Greetings {name}!", inputs="textbox", outputs=gr.Textbox(label="Greeter 2"))
+#demo = gr.Parallel(greeter_1, greeter_2)
+
+generator1 = gr.Interface(lambda name: f"Hello {name}!", outputs=gr.Textbox(label="GPT2-Large")).load("huggingface/gpt2-large", api_key=HF_TOKEN)
 generator2 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-2.7B", api_key=HF_TOKEN)
 generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B", api_key=HF_TOKEN)
-generator1 = gr.Interface.load("huggingface/gpt2-large", api_key=HF_TOKEN)
+
+
 gr.Parallel(generator1, 
             generator2, 
             generator3,