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| import streamlit as st | |
| from PIL import Image | |
| import google.generativeai as genai | |
| import os | |
| MODEL_ID = "gemini-2.0-flash-exp" | |
| api_key = os.getenv("GEMINI_API_KEY") | |
| model_id = MODEL_ID | |
| genai.configure(api_key=api_key) | |
| enable_stream = False | |
| # Initialize chat history | |
| if "messages" not in st.session_state: | |
| st.session_state.messages = [] | |
| if "model" not in st.session_state: | |
| st.session_state.model = genai.GenerativeModel(MODEL_ID) | |
| if "chat" not in st.session_state: | |
| st.session_state.chat = st.session_state.model.start_chat() | |
| if "is_new_file" not in st.session_state: | |
| st.session_state.is_new_file = True | |
| # Function to reset chat history | |
| def reset_chat(): | |
| st.session_state.messages = [] | |
| st.session_state.model.start_chat() | |
| def main(): | |
| # Streamlit app | |
| st.title("Gemini Image Chat") | |
| # File uploader with allowed types | |
| uploaded_file = st.file_uploader("Choose an image or PDF...", type=["jpg", "jpeg", "png", "pdf"]) | |
| if uploaded_file is not None: | |
| # Determine file type | |
| file_type = uploaded_file.type | |
| if file_type.startswith('image'): | |
| # Display the uploaded image | |
| image = Image.open(uploaded_file) | |
| st.image(image, caption="Uploaded Image.", use_container_width=True) | |
| mime_type = "image/jpeg" # Use a consistent MIME type for images | |
| elif file_type == 'application/pdf': | |
| # Display a message for PDF upload | |
| st.write("PDF file uploaded. You can ask questions about its content.") | |
| mime_type = "application/pdf" | |
| else: | |
| st.error("Unsupported file type. Please upload an image or PDF.") | |
| st.stop() | |
| # Reset chat history when a new file is uploaded | |
| reset_chat() | |
| st.session_state.is_new_file = True | |
| # Text input for user prompt | |
| user_input = st.text_area("Enter your prompt:", height=200) | |
| # Send button | |
| if st.button("Send"): | |
| if not uploaded_file or not user_input: | |
| st.warning("Please upload an image or PDF and enter a prompt.") | |
| st.stop() | |
| if user_input: | |
| # Add user message to chat history | |
| st.session_state.messages.append({"role": "user", "content": user_input}) | |
| with st.spinner("Processing..."): | |
| if st.session_state.is_new_file: | |
| # Upload the file with the correct MIME type | |
| file_data = genai.upload_file(uploaded_file, mime_type=mime_type) | |
| # Send file and prompt to Gemini API | |
| chat = st.session_state.chat | |
| response = chat.send_message( | |
| [ | |
| user_input, | |
| file_data | |
| ], | |
| stream=enable_stream | |
| ) | |
| st.session_state.is_new_file = False | |
| else: | |
| # continue chat without sending the file again | |
| # Send a text prompt to Gemini API | |
| chat = st.session_state.chat | |
| response = chat.send_message( | |
| [ | |
| user_input | |
| ], | |
| stream=enable_stream | |
| ) | |
| # Display Gemini response as it streams in | |
| full_response = "" | |
| if enable_stream: | |
| for chunk in response: | |
| with st.chat_message("assistant"): | |
| st.write(chunk.text) | |
| full_response += chunk.text | |
| else: | |
| full_response = response.text | |
| with st.chat_message("assistant"): | |
| st.write(full_response) | |
| # Add Gemini response to chat history | |
| st.session_state.messages.append({"role": "assistant", "content": full_response}) | |
| st.subheader("Chat History") | |
| # Display chat history | |
| for message in st.session_state.messages: | |
| with st.chat_message(message["role"]): | |
| st.markdown(message["content"]) | |
| if __name__ == "__main__": | |
| main() | |