Create app.py

app.py

@@ -0,0 +1,37 @@
+import streamlit as st
+from gradio_client import Client
+
+# Constants
+TITLE = "Llama2 70B Chatbot"
+DESCRIPTION = """
+This Space demonstrates model [Llama-2-70b-chat-hf](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) by Meta, 
+a Llama 2 model with 70B parameters fine-tuned for chat instructions. 
+"""
+
+# Initialize client
+client = Client("https://ysharma-explore-llamav2-with-tgi.hf.space/")
+
+# Prediction function
+def predict(message, system_prompt="", temperature=0.9, max_new_tokens=4096):
+    return client.predict(
+        message=message,
+        system_prompt=system_prompt,
+        temperature=temperature,
+        max_new_tokens=max_new_tokens,
+        api_name="/chat"
+    )
+
+# Streamlit UI
+st.title(TITLE)
+st.write(DESCRIPTION)
+
+# Input fields
+message = st.text_area("Enter your message:", "")
+system_prompt = st.text_area("Optional system prompt:", "")
+temperature = st.slider("Temperature", min_value=0.0, max_value=1.0, value=0.9, step=0.05)
+max_new_tokens = st.slider("Max new tokens", min_value=0, max_value=4096, value=4096, step=64)
+
+if st.button("Predict"):
+    response = predict(message, system_prompt, temperature, max_new_tokens)
+    st.write("Response:", response)
+