second commit for chat bot-1

app.py

@@ -1,21 +1,46 @@
 import gradio as gr
-from transformers import pipeline
 
-# একটি প্রি-ট্রেনড মডেল লোড করুন (যেমন: GPT-2)
-chatbot = pipeline("text-generation", model="gpt2")
+# JSON ডেটা
+data = {
+  "country": "Bangladesh",
+  "capital": "Dhaka",
+  "location": "South Asia",
+  "population": "166 million",
+  "official_language": "Bengali",
+  "currency": "Taka",
+  "landmarks": ["Sundarbans", "Cox's Bazar", "Dhaka's National Museum"],
+  "economy": "Textiles, agriculture, remittances"
+}
 
-# চ্যাটবট ফাংশন তৈরি করুন
+# চ্যাটবট ফাংশন
 def chat(input_text):
-    response = chatbot(input_text, max_length=50, num_return_sequences=1)
-    return response[0]['generated_text']
+    input_text = input_text.lower()  # প্রশ্নটি ছোট হাতের অক্ষরে রূপান্তর করুন
+    if "country" in input_text:
+        return f"Country: {data['country']}"
+    elif "capital" in input_text:
+        return f"Capital: {data['capital']}"
+    elif "location" in input_text:
+        return f"Location: {data['location']}"
+    elif "population" in input_text:
+        return f"Population: {data['population']}"
+    elif "official language" in input_text:
+        return f"Official Language: {data['official_language']}"
+    elif "currency" in input_text:
+        return f"Currency: {data['currency']}"
+    elif "landmarks" in input_text:
+        return f"Landmarks: {', '.join(data['landmarks'])}"
+    elif "economy" in input_text:
+        return f"Economy: {data['economy']}"
+    else:
+        return "Sorry, I don't have information about that."
 
-# Gradio ইন্টারফেস তৈরি করুন
+# Gradio ইন্টারফেস
 interface = gr.Interface(
     fn=chat,
     inputs="text",
     outputs="text",
-    title="আমার চ্যাটবট",
-    description="এটি একটি সাধারণ চ্যাটবট।"
+    title="Bangladesh Info Chatbot",
+    description="Ask me about Bangladesh!"
 )
 
 # অ্যাপ রান করুন