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Update app.py
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app.py
CHANGED
@@ -9,7 +9,6 @@ load_dotenv()
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# Retrieve API key from environment variable
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GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
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# Configure Google Gemini API
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genai.configure(api_key=GEMINI_API_KEY)
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@@ -32,11 +31,10 @@ safety_settings = [
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# Function to generate a response based on user input and chat history
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def generate_response(user_input, chat_history):
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"""Generates a response based on user input
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# Update system content with the full character description
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updated_system_content =
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# Create the generative model
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model = genai.GenerativeModel(
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@@ -52,35 +50,29 @@ def generate_response(user_input, chat_history):
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# Limit history length to the last 10 messages
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chat_history = chat_history[-10:]
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# Send the entire chat history as the first message
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response = chat_session.send_message("\n".join(chat_history))
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# Build the Gradio interface
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with gr.Blocks(
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)
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gr.
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fn=generate_response,
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inputs=[
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gr.State([]), # State input for chat history
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],
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outputs=[
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gr.Textbox(label="Response"),
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gr.State([]) # State output to update chat history
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],
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title="Shadow Chat",
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description=
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"<center>Chat with Shadow the Hedgehog!<br>"
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)
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)
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iface.launch()
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# Retrieve API key from environment variable
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GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
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# Configure Google Gemini API
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genai.configure(api_key=GEMINI_API_KEY)
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# Function to generate a response based on user input and chat history
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def generate_response(user_input, chat_history):
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"""Generates a response based on user input and chat history."""
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# Update system content with the full character description
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updated_system_content = "You are Shadow the Hedgehog and you must act like Shadow the Hedgehog's personality."
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# Create the generative model
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model = genai.GenerativeModel(
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# Limit history length to the last 10 messages
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chat_history = chat_history[-10:]
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try:
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# Start a new chat session
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chat_session = model.start_chat()
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# Send the entire chat history as the first message
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response = chat_session.send_message("\n".join(chat_history))
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return response.text, chat_history
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except Exception as e:
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return f"Error: {str(e)}", chat_history
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# Build the Gradio interface
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with gr.Blocks(theme="Hev832/Applio") as iface:
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chat_input = gr.Textbox(lines=2, label="Talk to AI", placeholder="Enter your message here...")
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chat_history_state = gr.State([]) # State input for chat history
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response_output = gr.Textbox(label="Response")
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iface.interface(
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fn=generate_response,
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inputs=[chat_input, chat_history_state],
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outputs=[response_output, chat_history_state],
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title="Shadow Chat",
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description="<center>Chat with Shadow the Hedgehog!</center>"
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)
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iface.launch()
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