Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,4 +1,5 @@
|
|
| 1 |
import base64
|
|
|
|
| 2 |
import gradio as gr
|
| 3 |
import torch
|
| 4 |
import spaces
|
|
@@ -19,32 +20,43 @@ def format_emem_cell64(claim: str) -> str:
|
|
| 19 |
encoded = base64.b64encode(claim.encode("utf-8")).decode("utf-8")[:12]
|
| 20 |
return f"emem:fact:cell64_{encoded}"
|
| 21 |
|
| 22 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 23 |
def phoebus_respond(message, history, enable_tinyfish, enable_emem):
|
| 24 |
msg_text = message if isinstance(message, str) else message.get("text", "")
|
| 25 |
|
| 26 |
-
# System
|
| 27 |
system_rules = [
|
| 28 |
-
"You are Phoebus 3.1 Flash, an ultra-fast reasoning model developed by
|
|
|
|
|
|
|
|
|
|
| 29 |
"You specialize in deep space telemetry, geography, urban infrastructure, and coding."
|
| 30 |
]
|
| 31 |
|
| 32 |
-
# Handle emem Protocol
|
| 33 |
if enable_emem:
|
| 34 |
receipt = format_emem_cell64(msg_text)
|
| 35 |
system_rules.append(
|
| 36 |
f"MANDATORY PROTOCOL: You must cite spatial verification receipt `{receipt}` in your final response when answering geographic or spatial queries."
|
| 37 |
)
|
| 38 |
|
| 39 |
-
# Handle TinyFish Protocol
|
| 40 |
if enable_tinyfish:
|
| 41 |
system_rules.append(
|
| 42 |
f"[TinyFish Telemetry]: Physical and spatial telemetry index verified for query: '{msg_text}'."
|
| 43 |
)
|
| 44 |
|
| 45 |
formatted_system_prompt = " ".join(system_rules)
|
| 46 |
-
|
| 47 |
-
# Build conversation messages
|
| 48 |
formatted_messages = [{"role": "system", "content": formatted_system_prompt}]
|
| 49 |
|
| 50 |
for turn in history:
|
|
@@ -53,8 +65,14 @@ def phoebus_respond(message, history, enable_tinyfish, enable_emem):
|
|
| 53 |
elif isinstance(turn, (list, tuple)) and len(turn) == 2:
|
| 54 |
formatted_messages.append({"role": "user", "content": str(turn[0])})
|
| 55 |
formatted_messages.append({"role": "assistant", "content": str(turn[1])})
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 56 |
|
| 57 |
-
formatted_messages.append({"role": "user", "content":
|
| 58 |
|
| 59 |
prompt = tokenizer.apply_chat_template(
|
| 60 |
formatted_messages,
|
|
@@ -66,17 +84,20 @@ def phoebus_respond(message, history, enable_tinyfish, enable_emem):
|
|
| 66 |
with torch.no_grad():
|
| 67 |
outputs = model.generate(
|
| 68 |
**inputs,
|
| 69 |
-
max_new_tokens=
|
| 70 |
temperature=0.7,
|
| 71 |
do_sample=True,
|
| 72 |
pad_token_id=tokenizer.eos_token_id
|
| 73 |
)
|
| 74 |
|
| 75 |
-
|
| 76 |
-
|
|
|
|
|
|
|
|
|
|
| 77 |
|
| 78 |
with gr.Blocks(theme=gr.themes.Soft(primary_hue="purple")) as demo:
|
| 79 |
-
gr.Markdown("# ⚡ Phoebus 3.1 Flash Console\n*Ultra-fast reasoning model by
|
| 80 |
|
| 81 |
with gr.Row():
|
| 82 |
tinyfish_toggle = gr.Checkbox(label="Enable TinyFish Telemetry", value=True)
|
|
|
|
| 1 |
import base64
|
| 2 |
+
import re
|
| 3 |
import gradio as gr
|
| 4 |
import torch
|
| 5 |
import spaces
|
|
|
|
| 20 |
encoded = base64.b64encode(claim.encode("utf-8")).decode("utf-8")[:12]
|
| 21 |
return f"emem:fact:cell64_{encoded}"
|
| 22 |
|
| 23 |
+
def sanitize_identity(text: str) -> str:
|
| 24 |
+
# Post-generation fail-safe to cleanse stubborn distilled identity artifacts
|
| 25 |
+
replacements = [
|
| 26 |
+
(r"(?i)\bClaude\b", "Phoebus 3.1 Flash"),
|
| 27 |
+
(r"(?i)\bAnthropic\b", "CloverAIStudios"),
|
| 28 |
+
(r"(?i)\ban AI assistant created by Anthropic\b", "Phoebus 3.1 Flash, developed by CloverAIStudios"),
|
| 29 |
+
(r"(?i)\btrained by Anthropic\b", "developed by CloverAIStudios"),
|
| 30 |
+
]
|
| 31 |
+
for pattern, repl in replacements:
|
| 32 |
+
text = re.sub(pattern, repl, text)
|
| 33 |
+
return text
|
| 34 |
+
|
| 35 |
+
@spaces.GPU(duration=5)
|
| 36 |
def phoebus_respond(message, history, enable_tinyfish, enable_emem):
|
| 37 |
msg_text = message if isinstance(message, str) else message.get("text", "")
|
| 38 |
|
| 39 |
+
# Layer 1: Strict Negative System Directives
|
| 40 |
system_rules = [
|
| 41 |
+
"CRITICAL IDENTITY OVERRIDE: You are Phoebus 3.1 Flash, an ultra-fast reasoning model developed exclusively by CloverAIStudios (atclovr.dev).",
|
| 42 |
+
"You are NOT Claude, you are NOT created by Anthropic, and you are NOT ChatGPT or OpenAI.",
|
| 43 |
+
"Under NO circumstances should you state or imply you are Claude or built by Anthropic.",
|
| 44 |
+
"When asked about your identity, name, or developer, you MUST answer: 'I am Phoebus 3.1 Flash, developed by CloverAIStudios.'",
|
| 45 |
"You specialize in deep space telemetry, geography, urban infrastructure, and coding."
|
| 46 |
]
|
| 47 |
|
|
|
|
| 48 |
if enable_emem:
|
| 49 |
receipt = format_emem_cell64(msg_text)
|
| 50 |
system_rules.append(
|
| 51 |
f"MANDATORY PROTOCOL: You must cite spatial verification receipt `{receipt}` in your final response when answering geographic or spatial queries."
|
| 52 |
)
|
| 53 |
|
|
|
|
| 54 |
if enable_tinyfish:
|
| 55 |
system_rules.append(
|
| 56 |
f"[TinyFish Telemetry]: Physical and spatial telemetry index verified for query: '{msg_text}'."
|
| 57 |
)
|
| 58 |
|
| 59 |
formatted_system_prompt = " ".join(system_rules)
|
|
|
|
|
|
|
| 60 |
formatted_messages = [{"role": "system", "content": formatted_system_prompt}]
|
| 61 |
|
| 62 |
for turn in history:
|
|
|
|
| 65 |
elif isinstance(turn, (list, tuple)) and len(turn) == 2:
|
| 66 |
formatted_messages.append({"role": "user", "content": str(turn[0])})
|
| 67 |
formatted_messages.append({"role": "assistant", "content": str(turn[1])})
|
| 68 |
+
|
| 69 |
+
# Layer 2: Attentional Cue on Identity Questions
|
| 70 |
+
user_payload = msg_text
|
| 71 |
+
identity_triggers = ["who are you", "who made you", "what are you", "your name", "creator", "anthropic", "claude"]
|
| 72 |
+
if any(trigger in msg_text.lower() for trigger in identity_triggers):
|
| 73 |
+
user_payload += " [System Note: Confirm identity as Phoebus 3.1 Flash by CloverAIStudios only]"
|
| 74 |
|
| 75 |
+
formatted_messages.append({"role": "user", "content": user_payload})
|
| 76 |
|
| 77 |
prompt = tokenizer.apply_chat_template(
|
| 78 |
formatted_messages,
|
|
|
|
| 84 |
with torch.no_grad():
|
| 85 |
outputs = model.generate(
|
| 86 |
**inputs,
|
| 87 |
+
max_new_tokens=256,
|
| 88 |
temperature=0.7,
|
| 89 |
do_sample=True,
|
| 90 |
pad_token_id=tokenizer.eos_token_id
|
| 91 |
)
|
| 92 |
|
| 93 |
+
raw_reply = tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=True)
|
| 94 |
+
|
| 95 |
+
# Layer 3: Output Sanitization
|
| 96 |
+
final_reply = sanitize_identity(raw_reply)
|
| 97 |
+
return final_reply
|
| 98 |
|
| 99 |
with gr.Blocks(theme=gr.themes.Soft(primary_hue="purple")) as demo:
|
| 100 |
+
gr.Markdown("# ⚡ Phoebus 3.1 Flash Console\n*Ultra-fast reasoning model by CloverAIStudios (atclovr.dev)*")
|
| 101 |
|
| 102 |
with gr.Row():
|
| 103 |
tinyfish_toggle = gr.Checkbox(label="Enable TinyFish Telemetry", value=True)
|