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| import streamlit as st | |
| from PIL import Image | |
| import os | |
| from datetime import datetime | |
| from hf_model import HFModel # Import your HFModel class | |
| from mew_log import log_info, log_error # Import your custom logging methods | |
| # Initialize the model | |
| MODEL_NAME = "deepseek-ai/DeepSeek-Coder-V2-Lite-Base" | |
| def initialize_model(): | |
| try: | |
| model = HFModel(MODEL_NAME) | |
| log_info("Model initialized successfully.") | |
| return model | |
| except Exception as e: | |
| log_error(f"Failed to initialize model: {e}", e) | |
| st.error(f"Failed to initialize model: {e}") | |
| return None | |
| # Initialize the model (cached to avoid reloading on every interaction) | |
| def load_model(): | |
| return initialize_model() | |
| # Streamlit app | |
| def main(): | |
| st.title("DeepSeek Chat App") | |
| st.write("Interact with the DeepSeek model using text, images, or files!") | |
| # Load the model | |
| model = load_model() | |
| if model is None: | |
| st.stop() | |
| # Sidebar for file uploads | |
| st.sidebar.header("Upload Files or Images") | |
| uploaded_file = st.sidebar.file_uploader("Upload a file or image", type=["txt", "jpg", "png", "jpeg", "pdf"]) | |
| # Display uploaded file or image | |
| if uploaded_file is not None: | |
| file_details = {"filename": uploaded_file.name, "filetype": uploaded_file.type, "filesize": uploaded_file.size} | |
| st.sidebar.write(file_details) | |
| if uploaded_file.type.startswith("image"): | |
| image = Image.open(uploaded_file) | |
| st.sidebar.image(image, caption="Uploaded Image", use_column_width=True) | |
| else: | |
| st.sidebar.write("File content:") | |
| file_content = uploaded_file.getvalue().decode("utf-8") | |
| st.sidebar.text(file_content) | |
| # Main chat interface | |
| st.header("Chat with DeepSeek") | |
| user_input = st.text_area("Enter your message or question:", height=100) | |
| if st.button("Send"): | |
| if user_input.strip() == "": | |
| st.warning("Please enter a message.") | |
| else: | |
| try: | |
| # Add file content to user input if a file is uploaded | |
| if uploaded_file is not None: | |
| if uploaded_file.type.startswith("image"): | |
| user_input += f"\n[Attached Image: {uploaded_file.name}]" | |
| else: | |
| file_content = uploaded_file.getvalue().decode("utf-8") | |
| user_input += f"\n[Attached File Content:\n{file_content}\n]" | |
| # Generate response | |
| with st.spinner("Generating response..."): | |
| response = model.chat(user_input, max_length=512) | |
| st.write(f"**Assistant:** {response}") | |
| # Display chat history | |
| st.subheader("Chat History") | |
| for entry in model.chat_history: | |
| role = entry["role"] | |
| content = entry["content"] | |
| st.write(f"**{role.capitalize()}:** {content}") | |
| except Exception as e: | |
| log_error(f"Error during chat: {e}", e) | |
| st.error(f"An error occurred: {e}") | |
| # Clear chat history button | |
| if st.button("Clear Chat History"): | |
| model.clear_chat_history() | |
| st.success("Chat history cleared!") | |
| # Run the app | |
| if __name__ == "__main__": | |
| main() |