Create app.py

app.py

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+import streamlit as st
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Load the model and tokenizer
+model_name = "codellama/CodeLlama-7b-Python-hf"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Function to generate Python code using the model
+def generate_code(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    with torch.no_grad():
+        outputs = model.generate(
+            inputs['input_ids'], 
+            max_length=200, 
+            num_return_sequences=1, 
+            temperature=0.7,
+            top_p=0.9,
+            top_k=50
+        )
+    code = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return code
+
+# Streamlit app layout
+st.set_page_config(page_title="Code Generator", layout="wide")
+
+# Sidebar for history
+with st.sidebar:
+    st.header("History")
+    history = st.empty()  # This will be used to store the chat history
+
+# Main area for the code generation interaction
+st.title("CodeLlama Python Code Generator")
+st.subheader("Ask me to write clean Python code!")
+
+# Input section (bottom input box like ChatGPT)
+user_input = st.text_input("Enter your prompt:", "")
+
+if user_input:
+    # Generate Python code
+    prompt = f"Generate clean Python code for: {user_input}"
+    generated_code = generate_code(prompt)
+
+    # Show the output
+    st.code(generated_code, language="python")
+
+    # Update the chat history with the latest input and output
+    if "history" not in st.session_state:
+        st.session_state.history = []
+    
+    st.session_state.history.append({
+        "user": user_input,
+        "response": generated_code
+    })
+
+# Display history in the sidebar
+if st.session_state.history:
+    history_text = ""
+    for entry in st.session_state.history:
+        history_text += f"User: {entry['user']}\nResponse: {entry['response']}\n\n"
+    history.text_area("Chat History", value=history_text, height=300)
+
+# Clear history button (for new chat)
+if st.button("Start New Chat"):
+    st.session_state.history = []
+    st.experimental_rerun()