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Commit Β·
8677714
1
Parent(s): 5245a28
Critical fix: Remove gr.Chatbot() to avoid Gradio 4.x schema bug - use Textbox instead
Browse files
app.py
CHANGED
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@@ -1,6 +1,7 @@
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"""
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Personality Chatbot - Multi-personality LLM with LoRA adapters
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Deployed on Hugging Face Spaces
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"""
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import gradio as gr
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@@ -81,10 +82,10 @@ def switch_personality(personality_name):
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except Exception as e:
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return f"β Error loading adapter: {str(e)}"
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def generate_response(message,
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"""Generate response using current personality"""
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if current_adapter is None:
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return "β οΈ Please select a personality first!"
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try:
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# Format with chat template
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@@ -96,12 +97,12 @@ def generate_response(message, history, temperature=0.7, max_tokens=256):
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with torch.no_grad():
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outputs = current_adapter.generate(
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**inputs,
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max_new_tokens=max_tokens,
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temperature=temperature,
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do_sample=True,
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top_p=0.9,
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top_k=50,
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repetition_penalty=1.1,
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pad_token_id=tokenizer.pad_token_id,
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eos_token_id=tokenizer.eos_token_id,
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)
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@@ -114,10 +115,14 @@ def generate_response(message, history, temperature=0.7, max_tokens=256):
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response = response.replace("<|im_start|>", "").replace("<|im_end|>", "")
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response = response.replace("assistant\n", "").strip()
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-
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except Exception as e:
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-
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def handle_personality_change(personality_name):
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"""Handle personality dropdown change"""
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@@ -128,7 +133,7 @@ def handle_personality_change(personality_name):
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print("π Starting application...")
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load_base_model()
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# Create Gradio interface
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with gr.Blocks(theme=gr.themes.Soft(), title="Personality Chatbot") as demo:
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gr.Markdown(
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"""
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@@ -182,9 +187,13 @@ with gr.Blocks(theme=gr.themes.Soft(), title="Personality Chatbot") as demo:
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)
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with gr.Column(scale=2):
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-
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-
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-
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show_label=True,
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)
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@@ -194,6 +203,14 @@ with gr.Blocks(theme=gr.themes.Soft(), title="Personality Chatbot") as demo:
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lines=2,
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)
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with gr.Row():
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submit_btn = gr.Button("Send π¬", variant="primary")
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clear_btn = gr.Button("Clear ποΈ", variant="secondary")
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@@ -201,11 +218,10 @@ with gr.Blocks(theme=gr.themes.Soft(), title="Personality Chatbot") as demo:
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# Event handlers
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def respond(message, chat_history, temperature, max_tokens):
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if not message.strip():
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return chat_history, ""
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bot_response = generate_response(message, chat_history, temperature, max_tokens)
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-
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return chat_history, ""
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# Personality change handler
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personality_dropdown.change(
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@@ -217,21 +233,21 @@ with gr.Blocks(theme=gr.themes.Soft(), title="Personality Chatbot") as demo:
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# Chat handlers
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submit_btn.click(
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fn=respond,
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inputs=[msg_box,
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outputs=[
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)
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msg_box.submit(
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fn=respond,
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inputs=[msg_box,
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outputs=[
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)
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clear_btn.click(
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fn=lambda: (
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outputs=[
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)
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# Launch
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860)
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"""
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Personality Chatbot - Multi-personality LLM with LoRA adapters
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Deployed on Hugging Face Spaces
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+
FIXED: Removed gr.Chatbot() to avoid Gradio 4.x schema bug
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"""
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import gradio as gr
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except Exception as e:
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return f"β Error loading adapter: {str(e)}"
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def generate_response(message, chat_history, temperature=0.7, max_tokens=256):
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"""Generate response using current personality"""
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if current_adapter is None:
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return "β οΈ Please select a personality first!", chat_history
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try:
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# Format with chat template
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with torch.no_grad():
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outputs = current_adapter.generate(
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**inputs,
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max_new_tokens=max_tokens,
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temperature=temperature,
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do_sample=True,
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top_p=0.9,
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top_k=50,
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repetition_penalty=1.1,
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pad_token_id=tokenizer.pad_token_id,
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eos_token_id=tokenizer.eos_token_id,
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)
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response = response.replace("<|im_start|>", "").replace("<|im_end|>", "")
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response = response.replace("assistant\n", "").strip()
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# Format chat history for display
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new_history = chat_history + f"\n\n**You:** {message}\n\n**Bot ({current_personality}):** {response}\n\n---"
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return response, new_history
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except Exception as e:
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error_msg = f"β Error generating response: {str(e)}"
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return error_msg, chat_history
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def handle_personality_change(personality_name):
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"""Handle personality dropdown change"""
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print("π Starting application...")
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load_base_model()
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# Create Gradio interface WITHOUT gr.Chatbot() to avoid schema bug
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with gr.Blocks(theme=gr.themes.Soft(), title="Personality Chatbot") as demo:
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gr.Markdown(
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"""
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)
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with gr.Column(scale=2):
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# FIXED: Use Textbox instead of Chatbot to avoid schema bug
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chat_display = gr.Textbox(
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label="π¬ Chat History",
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value="",
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lines=20,
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max_lines=30,
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interactive=False,
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show_label=True,
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)
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lines=2,
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)
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last_response = gr.Textbox(
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label="π€ Last Response",
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value="",
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lines=5,
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interactive=False,
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show_label=True,
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)
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with gr.Row():
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submit_btn = gr.Button("Send π¬", variant="primary")
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clear_btn = gr.Button("Clear ποΈ", variant="secondary")
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# Event handlers
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def respond(message, chat_history, temperature, max_tokens):
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if not message.strip():
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return "", chat_history, ""
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bot_response, new_history = generate_response(message, chat_history, temperature, max_tokens)
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return "", new_history, bot_response
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# Personality change handler
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personality_dropdown.change(
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# Chat handlers
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submit_btn.click(
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fn=respond,
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inputs=[msg_box, chat_display, temperature_slider, max_tokens_slider],
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outputs=[msg_box, chat_display, last_response],
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)
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msg_box.submit(
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fn=respond,
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inputs=[msg_box, chat_display, temperature_slider, max_tokens_slider],
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outputs=[msg_box, chat_display, last_response],
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)
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clear_btn.click(
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fn=lambda: ("", "", ""),
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outputs=[chat_display, msg_box, last_response],
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)
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# Launch with share=True for HF Spaces
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860, share=False)
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