mickylan2367
/

horoscope-en-ai-v1

Transformers

Safetensors

English

text2text-generation

text-generation-inference

Model card Files Files and versions Community

mickylan2367 commited on May 24

Commit

0326f11

verified ·

1 Parent(s): 76dd53f

Update README.md

Browse files

Files changed (1) hide show

README.md +46 -182

README.md CHANGED Viewed

@@ -1,199 +1,63 @@
 ---
 library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-### Model Sources [optional]
-<!-- Provide the basic links for the model. -->
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-## Uses
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-### Direct Use
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-[More Information Needed]
-### Downstream Use [optional]
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-[More Information Needed]
-### Out-of-Scope Use
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-[More Information Needed]
-## Bias, Risks, and Limitations
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-[More Information Needed]
-### Recommendations
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-## How to Get Started with the Model
-Use the code below to get started with the model.
-[More Information Needed]
-## Training Details
-### Training Data
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-[More Information Needed]
-### Training Procedure
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-#### Preprocessing [optional]
-[More Information Needed]
-#### Training Hyperparameters
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-#### Speeds, Sizes, Times [optional]
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-[More Information Needed]
-## Evaluation
-<!-- This section describes the evaluation protocols and provides the results. -->
-### Testing Data, Factors & Metrics
-#### Testing Data
-<!-- This should link to a Dataset Card if possible. -->
-[More Information Needed]
-#### Factors
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-[More Information Needed]
-#### Metrics
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-[More Information Needed]
-### Results
-[More Information Needed]
-#### Summary
-## Model Examination [optional]
-<!-- Relevant interpretability work for the model goes here -->
-[More Information Needed]
-## Environmental Impact
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-## Technical Specifications [optional]
-### Model Architecture and Objective
-[More Information Needed]
-### Compute Infrastructure
-[More Information Needed]
-#### Hardware
-[More Information Needed]
-#### Software
-[More Information Needed]
-## Citation [optional]
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-**BibTeX:**
-[More Information Needed]
-**APA:**
-[More Information Needed]
-## Glossary [optional]
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-[More Information Needed]
-## More Information [optional]
-[More Information Needed]
-## Model Card Authors [optional]
-[More Information Needed]
-## Model Card Contact
-[More Information Needed]

 ---
 library_name: transformers
+language:
+- en
+base_model:
+- google/flan-t5-small
 ---
+# Horoscope Personality Generator (English) 🌟
+This is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small), trained on a small custom dataset for generating personality descriptions based on astrological birth chart inputs in English.
+## 🧠 What does this model do?
+Given a combination of Sun, Moon, and Venus signs, the model generates a natural-sounding English explanation of the personality traits commonly associated with that planetary arrangement.
+### Example Input and Output:
+'''Sun: Virgo, Moon: Capricorn, Venus: Libra'''
+'''"You are analytical yet sociable, with an adventurous romantic spirit."'''
+## 🚀 Use Cases
+- Fun astrology apps or websites
+- Horoscope personality matching
+- Conversational chatbots with zodiac insights
+## 🔧 Model Details
+- Base model: `google/flan-t5-small`
+- Language: English
+- Training: Fine-tuned on 3-sign (Sun, Moon, Venus) astrology description pairs
+- Domain: Modern Western Astrology
+- Format: Sequence-to-sequence text generation
+## 🔐 Limitations
+This is a proof-of-concept model trained on a small dataset. The output should be interpreted as entertainment and not as scientifically validated personality profiling.
+## 🤝 Contributions
+This project is developed and maintained by [Your Name or Username].
+Feel free to fine-tune further or use this as a base for more personalized horoscope applications.
+## 🗄️ Database (PostgreSQL)
+This project uses **PostgreSQL** to store user input, birth chart data, and generated interpretations.
+### 📦 Example table schema:
+```sql
+CREATE TABLE users (
+  id SERIAL PRIMARY KEY,
+  username TEXT NOT NULL,
+  birthdate DATE,
+  birthtime TIME,
+  birthplace TEXT
+);
+CREATE TABLE horoscopes (
+  id SERIAL PRIMARY KEY,
+  user_id INTEGER REFERENCES users(id),
+  sun TEXT,
+  moon TEXT,
+  venus TEXT,
+  interpretation TEXT
+);
+---