Update app.py

app.py

@@ -1,5 +1,25 @@
-# Load model directly
-from transformers import AutoTokenizer, AutoModelForCausalLM
+from fastai.text.all import *
+import gradio as gr
+
+
+learn = load_learner('model.pkl')
+
+
+description = "Medical Diagnosis"
+categories = (['Allergy', 'Anemia', 'Bronchitis', 'Diabetes', 'Diarrhea', 'Fatigue', 'Flu', 'Malaria', 'Stress'])
+
+
+
+def classify_text(txt):
+    pred,idx,probs = learn.predict(txt)
+    return dict(zip(categories, map(float,probs)))
+
+
+
+text = gr.inputs.Textbox(lines=2, label='Describe how you feel in great detail')
+label = gr.outputs.Label()
+examples = ['I have no intrest in physical activity. i am always thirsty', 'I am freezing', 'My eyes are pale']
+
+intf = gr.Interface(fn=classify_text, inputs=text, outputs=label, examples=examples, description=description)
+intf.launch(inline=False)
 
-tokenizer = AutoTokenizer.from_pretrained("Doctor-Shotgun/cat-v1.0-13b")
-model = AutoModelForCausalLM.from_pretrained("Doctor-Shotgun/cat-v1.0-13b")