moving API product to GitHub

.gitattributes

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README.md

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-# Chord-Bot-API
+# ---
+
+# title: Chord Bot API
+
+# emoji: 📊
+
+# colorFrom: green
+
+# colorTo: yellow
+
+# sdk: gradio
+
+# sdk\_version: 5.45.0
+
+# hf\_oauth: true
+
+# app\_file: app.py
+
+# pinned: false
+
+# short\_description: Input notes, space calls API model and outputs a chord.
+
+# ---
+
+# 
+
+# Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+

app.py

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+import gradio as gr
+from huggingface_hub import InferenceClient
+
+# --- Rule-based chord dictionary ---
+CHORDS = {
+    frozenset(["C", "E", "G"]): "C Major",
+    frozenset(["A", "C#", "E"]): "A Major",
+    frozenset(["A", "C", "E"]): "A Minor",
+    frozenset(["D", "F#", "A"]): "D Major",
+    frozenset(["E", "G#", "B"]): "E Major",
+    frozenset(["G", "B", "D"]): "G Major",
+    frozenset(["F", "A", "C"]): "F Major",
+}
+
+def identify_chord(notes):
+    """
+    Identify chord name from a list of notes using dictionary lookup.
+    """
+    key = frozenset([n.upper() for n in notes])
+    return CHORDS.get(key, "Unknown Chord")
+
+# --- Hugging Face model client (API-based) ---
+client = InferenceClient("google/flan-t5-small")
+
+def predict_chord(notes: str):
+    """
+    Takes a comma-separated string of notes and predicts the chord.
+    First tries rule-based, then falls back to the LLM.
+    """
+    if not notes.strip():
+        return "Please enter 2 or more notes."
+
+    # Clean and split notes
+    note_list = [n.strip() for n in notes.split(",") if n.strip()]
+    if len(note_list) < 2:
+        return "Please enter at least 2 notes."
+
+    # Rule-based chord lookup
+    chord = identify_chord(note_list)
+    if chord != "Unknown Chord":
+        return chord
+
+    # Fall back to LLM
+    prompt = f"Identify the musical chord made of notes: {', '.join(note_list)}"
+    try:
+        response = client.text_generation(prompt, max_new_tokens=20)
+        return response.strip()
+    except Exception as e:
+        return f"Error calling Hugging Face API: {e}"
+
+# --- Gradio Interface ---
+demo = gr.Interface(
+    fn=predict_chord,
+    inputs=gr.Textbox(lines=1, placeholder="Enter notes, e.g., C,E,G"),
+    outputs="text",
+    title="Chord Identifier (API-based)",
+    description="Enter two or more musical notes (comma-separated) and get the chord name."
+)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio
+huggingface_hub