Spaces:
Sleeping
Sleeping
File size: 3,245 Bytes
6ce6f34 3470e6b 6ce6f34 3886dff 187e005 6ce6f34 187e005 6ce6f34 55d084b 12947cf 55d084b 6ce6f34 12947cf 3886dff 6ce6f34 3886dff 6ce6f34 12947cf 3886dff 55d084b 6ce6f34 55d084b 6ce6f34 187e005 12947cf 55d084b 3886dff 6ce6f34 187e005 55d084b 3886dff 55d084b 3886dff 187e005 55d084b 3886dff 55d084b 3886dff 55d084b 187e005 3886dff 187e005 3886dff 55d084b 3886dff 12947cf 55d084b 12947cf 55d084b 6ce6f34 55d084b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 |
import gradio as gr
import openai
import os
# Configure OpenAI API for Groq
openai.api_key = os.getenv("API_KEY") # Ensure the GROQ_API_KEY is set in the environment variables
openai.api_base = "https://api.groq.com/openai/v1"
# Function to fetch the AI's astrology response
def get_groq_response(name, dob, time_of_birth, place_of_birth, zodiac_sign, query):
try:
system_prompt = f"""You are Master Celestia, an AI astrologer. Analyze this birth chart:
Name: {name}
DOB: {dob}
Time: {time_of_birth}
Place: {place_of_birth}
Zodiac: {zodiac_sign}
Provide insights about:
1. Current planetary transits
2. Career and relationships
3. Personalized recommendations
"""
messages = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": query}
]
response = openai.ChatCompletion.create(
model="llama3-70b-8192",
messages=messages,
temperature=0.7,
max_tokens=500
)
return response.choices[0].message["content"]
except Exception as e:
return f"Error: {str(e)}"
# Function to handle chat interactions
def handle_chat(name, dob, time_of_birth, place_of_birth, zodiac, query, chat_history):
chat_history = chat_history or []
if query:
# Get AI response
bot_response = get_groq_response(name, dob, time_of_birth, place_of_birth, zodiac, query)
chat_history.append((query, bot_response))
return chat_history, chat_history
# Gradio interface for the app
with gr.Blocks(theme=gr.themes.Soft(), title="Astro Guide") as demo:
gr.Markdown("# 🌟 Astro Guide - AI Astrologer")
with gr.Row():
with gr.Column(scale=1):
name = gr.Textbox(label="Full Name")
dob = gr.Textbox(label="DOB (DD-MM-YYYY)")
time_of_birth = gr.Textbox(label="Birth Time")
place_of_birth = gr.Textbox(label="Birth Place")
zodiac = gr.Dropdown(
choices=["Aries", "Taurus", "Gemini", "Cancer", "Leo", "Virgo",
"Libra", "Scorpio", "Sagittarius", "Capricorn", "Aquarius", "Pisces"],
label="Sun Sign"
)
with gr.Column(scale=2):
chat_interface = gr.Chatbot(height=500)
query = gr.Textbox(label="Your Question")
state = gr.State()
submit_btn = gr.Button("Ask the Stars", variant="primary")
clear_btn = gr.Button("Clear")
# Handlers for buttons and text submissions
submit_btn.click(
handle_chat,
inputs=[name, dob, time_of_birth, place_of_birth, zodiac, query, state],
outputs=[chat_interface, state]
)
query.submit(
handle_chat,
inputs=[name, dob, time_of_birth, place_of_birth, zodiac, query, state],
outputs=[chat_interface, state]
)
clear_btn.click(
lambda: (None, None, None, None, None, None, []),
outputs=[name, dob, time_of_birth, place_of_birth, zodiac, query, chat_interface],
show_progress=False
)
if __name__ == "__main__":
demo.launch() |