Create app.py

app.py

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+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+model_name = "google/flan-t5-xl"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+gita_context = """
+The Bhagavad Gita is a 700-verse Hindu scripture that is part of the Indian epic Mahabharata. It is a dialogue between Prince Arjuna and Lord Krishna, who serves as his charioteer. The Gita's core message includes:
+1. The immortality of the soul (Atman)
+2. The nature of action (Karma) and duty (Dharma)
+3. The importance of devotion (Bhakti)
+4. The pursuit of knowledge (Jnana) and wisdom
+5. Different types of Yoga: Karma Yoga, Bhakti Yoga, Jnana Yoga, and Raja Yoga
+6. The concept of detachment from the fruits of one's actions
+7. The divine nature of Krishna as an avatar of Vishnu
+Key teachings include performing one's duty without attachment to results, the importance of self-realization, and the path to liberation (Moksha).
+"""
+
+def generate_response(question):
+    prompt = f"Based on the following context about the Bhagavad Gita, answer the question.\n\nContext: {gita_context}\n\nQuestion: {question}\n\nAnswer:"
+    input_ids = tokenizer(prompt, return_tensors="pt").input_ids
+    outputs = model.generate(input_ids, max_new_tokens=200, do_sample=True, temperature=0.7, top_p=0.95)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+iface = gr.Interface(
+    fn=generate_response,
+    inputs=gr.Textbox(lines=2, placeholder="Enter your question about the Bhagavad Gita here..."),
+    outputs="text"
+)
+
+iface.launch()