Update app.py

app.py

@@ -28,6 +28,7 @@ from gradio import inputs, outputs
 import huggingface_hub
 from huggingface_hub import Repository, hf_hub_download, upload_file
 from datetime import datetime
+
 # created new dataset as awacke1/MindfulStory.csv
 DATASET_REPO_URL = "https://huggingface.co/datasets/awacke1/MindfulStory.csv"
 DATASET_REPO_ID = "awacke1/MindfulStory.csv"
@@ -35,16 +36,6 @@ DATA_FILENAME = "MindfulStory.csv"
 DATA_FILE = os.path.join("data", DATA_FILENAME)
 HF_TOKEN = os.environ.get("HF_TOKEN")
 
-SCRIPT = """
-<script>
-if (!window.hasBeenRun) {
-    window.hasBeenRun = true;
-    console.log("should only happen once");
-    document.querySelector("button.submit").click();
-}
-</script>
-"""
-
 # Download dataset repo using hub download
 try:
     hf_hub_download(
@@ -74,8 +65,15 @@ def AIMemory(name: str, message: str):
             writer.writerow({"name": name, "message": message, "time": str(datetime.now())})
         commit_url = repo.push_to_hub()
     return {"name": name, "message": message, "time": str(datetime.now())}
+
+
+with open('Mindfulness.txt', 'r') as file:
+        context = file.read()
     
-parallelModel = gr.Parallel(generator1, generator2, generator3, inputs = SplitterInputBox, examples=examples,
+parallelModel = gr.Parallel(generator1, generator2, generator3, 
+#inputs = SplitterInputBox, 
+inputs=[gr.inputs.Textbox(lines=7, default=context, label="Context paragraph"), gr.inputs.Textbox(lines=3, default=question, label="Question")],
+             examples=examples,
             title="Mindfulness Story Generation with Persistent Dataset Memory",
             description=f"Mindfulness Story Generation with Persistent Dataset Memory",
             article=f"Memory Dataset URL: [{DATASET_REPO_URL}]({DATASET_REPO_URL})" )