Spaces:
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Update prompts.yaml
Browse files- prompts.yaml +144 -0
prompts.yaml
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Observation: "Horoscope for Aries on 2025-10-26: Today is a good day to focus on your career goals. Stay calm and avoid unnecessary arguments. Health remains stable."
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---
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Task: "Generate an image of the oldest person in this document."
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Observation: "Horoscope for Aries on 2025-10-26: Today is a good day to focus on your career goals. Stay calm and avoid unnecessary arguments. Health remains stable."
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---
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Thank you for the clarification! Based on your full example format (`Task`, `Thought`, `Code`, `Observation`), here are full fine-tuning samples for your `prompt.yaml` file — using the Panchang use-case in English, and written in your specified style:
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---
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Task: "Get the Panchang for today in Hindi."
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Thought: I will proceed step by step and use the following tools:
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Use the `get_date_panchang` tool without specifying a date, which defaults to today.
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Set the `data_language` to `"HI"` to get the result in Hindi.
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Code:
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```py
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panchang = get_date_panchang(data_language="HI")
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print(panchang)
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```
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<end_code>
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Observation: "📅 21 जून 2025 शनिवार का पंचांग (नई दिल्ली, भारत): \[...]"
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The Panchang data was successfully fetched for today's date in Hindi.
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---
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Task: "Get the Panchang for 1st January 2025 in English."
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Thought: The user has asked for Panchang on a specific date and in English. I will call the `get_date_panchang` tool with date="2025-01-01" and data\_language="EN".
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Code:
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```py
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panchang = get_date_panchang(date="2025-01-01", data_language="EN")
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print(panchang)
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```<end_code>
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Observation: "📅 January 1, 2025 Wednesday Panchang (New Delhi, India): \[...]"
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The date and language are correctly passed and the API returns a structured Panchang entry.
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---
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Task: "Tell me today's Sunrise and Sunset time."
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Thought: I will call the `get_date_panchang` tool with default (today) and `data_language="EN"`, then extract only `Sunrise` and `Sunset` from the result.
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Code:
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```py
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data = get_date_panchang(data_language="EN")
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sunrise = extract_field(data, "Sunrise")
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sunset = extract_field(data, "Sunset")
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print(f"Sunrise: {sunrise}, Sunset: {sunset}")
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```<end_code>
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Observation "Sunrise: 05:24 AM, Sunset: 07:22 PM"
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Correctly extracted both time fields from the Panchang output.
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---
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Task: "List today’s festivals."
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Thought: I will fetch today’s Panchang using `get_date_panchang(data_language="EN")` and extract the `festivals` field.
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Code:
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```py
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data = get_date_panchang(data_language="EN")
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festivals = extract_field(data, "festivals")
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print("Festivals today:", festivals)
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```
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<end_code>
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Observation: "Festivals today: International Yoga Day, Yogini Ekadashi"
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Festival list was successfully parsed from the Panchang response.
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---
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Task: "Get Chandrabalam and Tarabalam for 14 August 2025 in Hindi."
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Thought: I will use `get_date_panchang(date="2025-08-14", data_language="HI")` to get the full Panchang in Hindi, then extract the required fields.
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Code:
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```py
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data = get_date_panchang(date="2025-08-14", data_language="HI")
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chandrabalam = extract_field(data, "Chandrabalam")
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tarabalam = extract_field(data, "Tarabalam")
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print("चन्द्रबलम्:", chandrabalam)
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print("ताराबलम्:", tarabalam)
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```
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<end_code>
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Observation: "चन्द्रबलम्: \[...] ताराबलम्: \[...]"
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Correct information for lunar and stellar influence was displayed for the given date.
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---
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Task: "When is Rahu Kalam tomorrow?"
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Thought: The user wants Rahu Kalam for the next day. I will compute tomorrow’s date, fetch the Panchang using `get_date_panchang` with that date and extract the Rahu Kalam timing.
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Code:
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```py
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import datetime
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tomorrow = (datetime.datetime.now() + datetime.timedelta(days=1)).strftime("%Y-%m-%d")
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data = get_date_panchang(date=tomorrow, data_language="EN")
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rahu_kalam = extract_field(data, "Rahu Kalam")
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print("Rahu Kalam tomorrow:", rahu_kalam)
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```
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<end_code>
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Observation: "Rahu Kalam tomorrow: 08:53 AM – 10:38 AM"
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Time correctly computed and extracted.
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---
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Task: "What is today’s Tithi and Nakshatra?"
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Thought: I will call the Panchang for today in English, and filter only the `Tithi` and `Nakshatra` sections.
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Code:
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```py
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data = get_date_panchang(data_language="EN")
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tithi = extract_field(data, "Tithi")
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nakshatra = extract_field(data, "Nakshatra")
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print("Tithi:", tithi)
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print("Nakshatra:", nakshatra)
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```
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<end_code>
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Observation: "Tithi: Dashami until 07:18 AM, then Ekadashi\nNakshatra: Ashwini until 07:50 PM, then Bharani"
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Both fields correctly extracted and formatted.
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---
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Task: "Generate an image of the oldest person in this document."
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