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| import gradio as gr | |
| import google.generativeai as genai | |
| import os | |
| def chat_with_gemini(user_api_key, user_input, history): | |
| """ | |
| Generates a response from the Gemini API based on user input and conversation history, | |
| using the provided user API key or falling back on a default API key. | |
| Args: | |
| user_api_key (str): The user's Google Gemini API key (optional). | |
| user_input (str): The latest message from the user. | |
| history (list): The conversation history as a list of message pairs. | |
| Returns: | |
| tuple: The updated conversation history with the chatbot's reply. | |
| """ | |
| # Determine which API key to use | |
| api_key = user_api_key.strip() if user_api_key else os.getenv("YOUR_API_KEY") | |
| if not api_key: | |
| # If no API key is available, prompt the user | |
| history.append(["", "Please enter your Google Gemini API key to start the conversation."]) | |
| return history, history | |
| try: | |
| # Configure the Gemini API with the selected API key | |
| genai.configure(api_key=api_key) | |
| # Initialize the Gemini Generative Model | |
| model = genai.GenerativeModel("gemini-1.5-flash") | |
| # Generate a response from the Gemini API | |
| response = model.generate_content( | |
| user_input, | |
| generation_config=genai.GenerationConfig( | |
| max_output_tokens=2000, | |
| temperature=0.7 | |
| ) | |
| ) | |
| chatbot_reply = response.text.strip() | |
| # Append the user input and chatbot reply to the history as a single entry | |
| history.append([user_input, chatbot_reply]) | |
| return history, history | |
| except Exception as e: | |
| error_message = f"An error occurred: {e}" | |
| history.append(["", error_message]) | |
| return history, history | |
| with gr.Blocks() as iface: | |
| gr.Markdown(""" | |
| # Google Gemini Flash 1.5 Chatbot | |
| Welcome to the Google Gemini-powered chatbot! You can interact with the bot by typing your messages below. | |
| **API Key Setup:** | |
| - **Option 1:** Enter your own Google Gemini API key in the input field below. | |
| - **Option 2:** If you leave the API key field empty, the chatbot will use a default API key. | |
| > **Note:** Ensure that your API key is kept secure and do not share it publicly. | |
| """) | |
| with gr.Column(): | |
| # API Key Input Section | |
| with gr.Row(): | |
| api_key_input = gr.Textbox( | |
| label="Google Gemini API Key (Optional)", | |
| placeholder="Enter your API key here...", | |
| type="password", | |
| lines=1 | |
| ) | |
| # Chatbot Display | |
| chatbot = gr.Chatbot() | |
| # User Input Row | |
| with gr.Row(): | |
| user_input = gr.Textbox( | |
| placeholder="Type your message here...", | |
| show_label=False | |
| ) | |
| send_button = gr.Button("Send") | |
| # State to hold the conversation history | |
| history = gr.State([]) | |
| def respond(user_api_key, message, history_state): | |
| """ | |
| Handles the user message, generates a response using the provided or default API key, | |
| and updates the conversation history. | |
| Args: | |
| user_api_key (str): The user's API key (optional). | |
| message (str): The user's message. | |
| history_state (list): The current conversation history. | |
| Returns: | |
| tuple: Updated conversation history for display. | |
| """ | |
| updated_history, new_history = chat_with_gemini(user_api_key, message, history_state) | |
| return updated_history, new_history | |
| # Connect the send button and textbox submission to the respond function | |
| send_button.click(respond, inputs=[api_key_input, user_input, history], outputs=[chatbot, history]) | |
| user_input.submit(respond, inputs=[api_key_input, user_input, history], outputs=[chatbot, history]) | |
| if __name__ == "__main__": | |
| iface.launch() |