Update app.py

app.py

@@ -0,0 +1,31 @@
+import streamlit as st
+from transformers import pipeline, AutoModel
+
+def main():
+    st.title("Chatbot with Hugging Face Model")
+
+    # Check if the model is already saved locally
+    model_path = "./zephyr-7b-beta"
+    try:
+        pipe = pipeline("text-generation", model=model_path, torch_dtype=torch.bfloat16, device_map="auto")
+    except:
+        # If not saved, load the model and save it
+        st.warning("Model not found locally. Downloading and saving the model. Please wait...")
+        pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta", torch_dtype=torch.bfloat16, device_map="auto")
+        pipe.save_pretrained(model_path)
+
+    # Define chat messages
+    messages = [
+        {"role": "system", "content": "You are a friendly chatbot who always responds in the style of a pirate"},
+        {"role": "user", "content": st.text_input("User Input", "How many helicopters can a human eat in one sitting?")},
+    ]
+
+    # Generate response
+    prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+    outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+
+    # Display generated text
+    st.text(outputs[0]["generated_text"])
+
+if __name__ == "__main__":
+    main()