salah

app.py

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+from transformers import pipeline
+import gradio as gr
+def isEnglish(s):
+    try:
+        s.encode(encoding='utf-8').decode('ascii')
+    except UnicodeDecodeError:
+        return False
+    else:
+        return True
+
+
+pipe = pipeline("text2text-generation", model="Varshitha/flan-t5-large-finetune-medicine-v5")
+examples = [
+    ["what is fever?"],
+    ["what medicen to give child if got fever?"],
+    ['Where is the protein Pannexin1 located?'],
+]
+
+title = "Qarisoft Medical Bot"
+txt_box = gr.Textbox()
+def ff_(message, history):
+    if not isEnglish(message):
+        return "Only support English right now"
+    return pipe(message)[0]['generated_text']
+
+gr.ChatInterface(ff_,
+                title=title,
+                description=title,
+                examples=examples,
+                submit_btn="Ask- أرسل",
+                undo_btn="تراجع",
+                retry_btn="اعادة",
+                clear_btn="حذف",
+                theme="soft",
+                css="main.css"
+                ).launch()
+
+
+
+                

requirements.txt

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+transformers
+torch
+gradio