Cretae app.py new file

app.py

@@ -0,0 +1,47 @@
+# app.py
+import streamlit as st
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+st.set_page_config(page_title="RaytikGPT", layout="centered")
+st.title("🧠 RaytikGPT")
+st.markdown("आपका अपना GPT-जैसा चैटबॉट — हिंदी और English दोनों में पूछें")
+
+@st.cache_resource
+
+def load_model():
+    model_id = "HuggingFaceH4/zephyr-7b-beta"
+    tokenizer = AutoTokenizer.from_pretrained(model_id)
+    model = AutoModelForCausalLM.from_pretrained(
+        model_id,
+        torch_dtype=torch.float16,
+        device_map="auto"
+    )
+    return tokenizer, model
+
+tokenizer, model = load_model()
+
+if "chat_history" not in st.session_state:
+    st.session_state.chat_history = []
+
+user_input = st.text_input("✍️ आप क्या पूछना चाहेंगे?", placeholder="e.g. I want to learn React JS")
+
+if st.button("भेजें") and user_input:
+    st.session_state.chat_history.append(("🧑‍💻 आप", user_input))
+
+    inputs = tokenizer(user_input, return_tensors="pt").to(model.device)
+    outputs = model.generate(
+        **inputs,
+        max_new_tokens=256,
+        pad_token_id=tokenizer.eos_token_id,
+        temperature=0.7,
+        top_p=0.9,
+        do_sample=True
+    )
+    reply = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    reply = reply.replace(user_input, "").strip()
+
+    st.session_state.chat_history.append(("🤖 RaytikGPT", reply))
+
+for sender, msg in st.session_state.chat_history:
+    st.markdown(f"**{sender}:** {msg}")