Create app.py

app.py

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+import json
+import gradio as gr
+import pandas as pd
+
+df=pd.read_csv('healifyLLM_answer_dataset.csv')
+
+with open('question_labels.json', 'r') as f:
+    questions_label = json.load(f)
+que_classes = list(questions_label.keys())
+
+def answering(text):
+  percentage = learner_inf.blurr_predict(text)[0]['score']* 100
+  index = learner_inf.blurr_predict(text)[0]['class_index']
+  label = learner_inf.blurr_predict(text)[0]['class_labels'][index]
+  result = df_answer[df_answer['label'] == label]['answer']
+  if percentage >= 35:
+    return result.iloc[0]
+  else:
+    return "My knowledge is limited. Ask some other medical question."
+
+label = gr.components.Label(label="Answer")
+iface = gr.Interface(fn=answering,inputs="text", outputs=label2, title="Disease QnA")
+iface.launch(inline=False)
+
+