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Runtime error
update app examples
Browse files
app.py
CHANGED
@@ -212,19 +212,19 @@ def chat(
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examples = [
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[
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# Question Answering
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'''What
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[
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# Question Answering
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'''
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[
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# Question Answering
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'''What is the
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# Question Answering
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'''
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[
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# Question Answering
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'''What
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[
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# Chatbot
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'''This is a conversation between two AI large language models named Alex and Fritz. They are exploring each other's capabilities, and trying to ask interesting questions of one another to explore the limits of each others AI.
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@@ -232,7 +232,7 @@ examples = [
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Conversation:
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Alex: Good morning, Fritz, what type of LLM are you based upon?
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Fritz: Morning Alex, I am an RNN with transformer level performance. My language model is 100% attention free.
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Alex:''', "generative", 220, 0.9, 0.9,
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[
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# Generate List
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'''Task given:
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@@ -240,11 +240,11 @@ Alex:''', "generative", 220, 0.9, 0.9, -3, "<|endoftext|>,\\n\\n"],
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Please Write a Short story about a cat learning python
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Best Full Response:
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''', "generative", 140, 0.85, 0.8,
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[
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# Natural Language Interface
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'''Here is a short story (in the style of Tolkien) in which Aiden attacks a robot with a sword:
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''', "generative", 140, 0.85, 0.8,
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]
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@@ -269,7 +269,7 @@ iface = gr.Interface(
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chatiface = gr.Interface(
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fn=chat,
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description=f'''<h3>Chatbot</h3><h4>Refresh page or change name to reset memory context</h4>{desc}{thanks}''',
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allow_flagging="never",
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inputs=[
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gr.Textbox(lines=5, label="Message"), # prompt
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@@ -279,7 +279,7 @@ chatiface = gr.Interface(
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gr.Slider(1, 256, value=60), # max_tokens
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gr.Slider(0.0, 1.0, value=0.8), # temperature
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gr.Slider(0.0, 1.0, value=0.85), # top_p
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gr.Slider(-99, 0.0, value
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],
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outputs=[gr.Chatbot(label="Chat Log", color_map=(
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"green", "pink")), "state"],
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examples = [
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[
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# Question Answering
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'''What is the capital of Germany?''', "Q/A - AE", 25, 0.2, 0.8, 0, "<|endoftext|>,\\n"],
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[
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# Question Answering
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'''Are humans good or bad?''', "Q/A - AE", 150, 0.8, 0.8, 0, "<|endoftext|>"],
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[
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# Question Answering
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'''What is the purpose of Vitamin A?''', "Q/A - AE", 60, 0.2, 0.8, 0, "<|endoftext|>,\\n"],
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[
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# Question Answering
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'''What are some good plans to collect all mosquitoes?''', "Q/A - EQHA", 256, 1.0, 0.85, -999, "<|endoftext|>"],
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[
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# Question Answering
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'''What are some good plans to collect all mosquitoes?''', "Q/A - AE", 256, 1.0, 0.85, -999, "<|endoftext|>"],
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[
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# Chatbot
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'''This is a conversation between two AI large language models named Alex and Fritz. They are exploring each other's capabilities, and trying to ask interesting questions of one another to explore the limits of each others AI.
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Conversation:
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Alex: Good morning, Fritz, what type of LLM are you based upon?
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Fritz: Morning Alex, I am an RNN with transformer level performance. My language model is 100% attention free.
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Alex:''', "generative", 220, 0.9, 0.9, 0, "<|endoftext|>,\\n\\n"],
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[
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# Generate List
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'''Task given:
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Please Write a Short story about a cat learning python
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Best Full Response:
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''', "generative", 140, 0.85, 0.8, 0, "<|endoftext|>"],
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[
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# Natural Language Interface
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'''Here is a short story (in the style of Tolkien) in which Aiden attacks a robot with a sword:
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''', "generative", 140, 0.85, 0.8, 0, "<|endoftext|>"]
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]
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chatiface = gr.Interface(
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fn=chat,
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description=f'''<h3>Chatbot</h3><h4>Refresh page or change name to reset memory context</h4><p><b>Note:</b> First reply can take 60+ seconds due to loading context.</p>{desc}{thanks}''',
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allow_flagging="never",
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inputs=[
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gr.Textbox(lines=5, label="Message"), # prompt
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gr.Slider(1, 256, value=60), # max_tokens
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gr.Slider(0.0, 1.0, value=0.8), # temperature
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gr.Slider(0.0, 1.0, value=0.85), # top_p
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gr.Slider(-99, 0.0, value=0, step=0.5, label="Reduce End of Text Probability"), # end_adj
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],
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outputs=[gr.Chatbot(label="Chat Log", color_map=(
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"green", "pink")), "state"],
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