adding in machine learning LOL

README.md

@@ -1,21 +1,12 @@
 ---
-
-title: "Note → Chord Chatbot"
-
-emoji: "🎵"
-
-colorFrom: blue
-
-colorTo: purple
-
+title: Chord Bot Local
+emoji: 🎸
+colorFrom: indigo
+colorTo: blue
 sdk: gradio
-
-sdk\_version: "4.44.0"
-
-app\_file: app.py
-
+sdk_version: "4.44.0"
+app_file: app.py
 pinned: false
-
 ---
 
 

app.py

@@ -1,201 +1,32 @@
-# app.py
 import gradio as gr
-from typing import List, Tuple
-import re
-
-# ----- Pitch utilities -----
-SHARP_NAMES = ["C","C#","D","D#","E","F","F#","G","G#","A","A#","B"]
-FLAT_NAMES  = ["C","Db","D","Eb","E","F","Gb","G","Ab","A","Bb","B"]
-
-NAME_TO_PC = {
-    # naturals
-    "C":0, "D":2, "E":4, "F":5, "G":7, "A":9, "B":11,
-    # sharps
-    "C#":1, "D#":3, "F#":6, "G#":8, "A#":10,
-    # flats
-    "Db":1, "Eb":3, "Gb":6, "Ab":8, "Bb":10,
-    # unicode ♯/♭
-    "C♯":1, "D♯":3, "F♯":6, "G♯":8, "A♯":10,
-    "D♭":1, "E♭":3, "G♭":6, "A♭":8, "B♭":10,
-}
-
-# Common chord templates: set of intervals from root (0 always present)
-CHORD_TEMPLATES = {
-    (0,4,7): ("major triad", ""),
-    (0,3,7): ("minor triad", "m"),
-    (0,3,6): ("diminished triad", "dim"),
-    (0,4,8): ("augmented triad", "+"),
-    (0,2,7): ("sus2", "sus2"),
-    (0,5,7): ("sus4", "sus4"),
-    (0,4,7,10): ("dominant 7th", "7"),
-    (0,4,7,11): ("major 7th", "maj7"),
-    (0,3,7,10): ("minor 7th", "m7"),
-    (0,3,6,10): ("half-diminished (m7♭5)", "m7b5"),
-    (0,3,6,9): ("diminished 7th", "dim7"),
-    (0,3,7,11): ("minor major 7th", "m(maj7)"),
-    (0,4,7,9): ("major 6th", "6"),
-    (0,3,7,9): ("minor 6th", "m6"),
-}
-
-ADD_TONES = {
-    2: ("add9", "add9"),  # treat 2 as add9
-    9: ("add9", "add9"),
-    11: ("add11", "add11"),
-    6: ("add13", "add13"),
-}
-
-SUS_OVERLAPS = {(0,2,7), (0,5,7)}
-
-NOTE_TOKEN_RE = re.compile(r"[A-Ga-g](?:#|b|♯|♭)?")
-
-
-def pc_name(pc: int, prefer_flats: bool) -> str:
-    return (FLAT_NAMES if prefer_flats else SHARP_NAMES)[pc % 12]
-
-
-def parse_notes(user_text: str) -> Tuple[List[int], bool, List[str]]:
-    """Return (pitch_classes, prefer_flats, original_tokens)."""
-    tokens = NOTE_TOKEN_RE.findall(user_text)
-    tokens = [t.upper().replace("♯", "#").replace("♭", "b") for t in tokens]
-    prefer_flats = any("B" in t and len(t)>1 for t in tokens) or any("b" in t for t in tokens)
-    pcs = []
-    for t in tokens:
-        if t in NAME_TO_PC:
-            pcs.append(NAME_TO_PC[t])
-    # dedupe while preserving order
-    seen = set()
-    pcs_unique = []
-    for p in pcs:
-        if p not in seen:
-            pcs_unique.append(p)
-            seen.add(p)
-    return pcs_unique, prefer_flats, tokens
-
-
-def intervals_from_root(pcs: List[int], root: int) -> Tuple[int,...]:
-    ints = sorted(((p - root) % 12) for p in pcs)
-    if 0 not in ints:
-        ints = (0,) + tuple(i for i in ints)
-    return tuple(sorted(set(ints)))
-
-
-def describe_chord(pcs: List[int], prefer_flats: bool) -> str:
-    if len(pcs) < 3:
-        return "Please provide at least 3 distinct note names (e.g., C E G or C, Eb, G)."
-
-    matches = []
-    for root in pcs:  # try each included pitch as potential root
-        base_ints = intervals_from_root(pcs, root)
-        # Try exact template match first (triads/sevenths/6ths/etc.)
-        if base_ints in CHORD_TEMPLATES:
-            qual_name, suffix = CHORD_TEMPLATES[base_ints]
-            matches.append((root, qual_name, suffix, []))
-            continue
-        # Try triad with added tones (add9/add11/add13)
-        # Identify a triad subset and extra tones
-        for triad in [(0,4,7), (0,3,7), (0,3,6), (0,4,8)]:
-            triad_set = set(triad)
-            if triad_set.issubset(set(base_ints)):
-                extras = sorted(set(base_ints) - triad_set)
-                add_suffixes = []
-                for e in extras:
-                    if e in ADD_TONES:
-                        add_suffixes.append(ADD_TONES[e][1])
-                if add_suffixes:
-                    qual_name, suffix = CHORD_TEMPLATES.get(triad, ("triad",""))
-                    matches.append((root, f"{qual_name} with {'/'.join(add_suffixes)}", suffix + ("" if not add_suffixes else ("("+" ".join(add_suffixes)+")")), extras))
-        # sus chords (if match) possibly with added tones
-        for sus in [(0,2,7), (0,5,7)]:
-            if set(sus).issubset(set(base_ints)):
-                extras = sorted(set(base_ints) - set(sus))
-                add_suffixes = []
-                for e in extras:
-                    if e in ADD_TONES:
-                        add_suffixes.append(ADD_TONES[e][1])
-                qual_name, suffix = CHORD_TEMPLATES[sus]
-                matches.append((root, qual_name + (" with "+"/".join(add_suffixes) if add_suffixes else ""), suffix + ("" if not add_suffixes else ("("+" ".join(add_suffixes)+")")), extras))
-
-    if not matches:
-        # fallback: show interval set relative to lowest note as a hint
-        root_guess = min(pcs)
-        ints = intervals_from_root(pcs, root_guess)
-        return (
-            "I couldn't confidently name that chord. Interval set from {}: {}.\n"
-            "Try removing extensions/duplicates or check note spelling (sharps vs flats)."
-        ).format(pc_name(root_guess, prefer_flats), ",".join(str(i) for i in ints))
-
-    # Rank matches: prefer templates with no ambiguous extras, prefer 7th/6th over triad with adds, then by root being lowest provided note
-    def rank(m):
-        root, qual_name, suffix, extras = m
-        score = 0
-        if "7" in suffix or "6" in suffix:
-            score += 2
-        if not extras:
-            score += 1
-        if root == min(pcs):
-            score += 0.5
-        return -score
-
-    matches.sort(key=rank)
-
-    # Build a readable response listing top 1-3 candidates
-    top = matches[:3]
-    lines = []
-    for i,(root, qual_name, suffix, extras) in enumerate(top, start=1):
-        name = pc_name(root, prefer_flats)
-        symbol = name + (suffix if suffix else "")
-        spelled = ", ".join(pc_name(p, prefer_flats) for p in sorted(set(pcs)))
-        lines.append(f"{i}. {symbol}  — {qual_name} (notes: {spelled})")
-
-    # Inversion hint (best-effort): if lowest note isn't the chosen root, suggest slash chord
-    chosen_root = top[0][0]
-    lowest = min(pcs)
-    if lowest != chosen_root:
-        lines[0] += f"  — likely {pc_name(chosen_root, prefer_flats)}/{pc_name(lowest, prefer_flats)}"
-
-    return "\n".join(lines)
-
-
-def answer(message: str, history: List[Tuple[str,str]]):
-    pcs, prefer_flats, tokens = parse_notes(message)
-    if not tokens:
-        return (
-            "Tell me 3+ notes (e.g., 'C E G' or 'Db, F, Ab, C'). "
-            "I support #/b and unicode ♯/♭."
-        )
-    return describe_chord(pcs, prefer_flats)
-
-
-def example_inputs():
-    return [
-        "C E G",
-        "D F# A C",
-        "C Eb G Bb",
-        "F A C D",
-        "G Bb D F",
-        "Db F Ab C",
-        "C D G",
-        "A C E G#",
-        "E G# B D",
-        "C Eb Gb A"
-    ]
-
-with gr.Blocks(theme=gr.themes.Soft()) as demo:
-    gr.Markdown("""
-    # 🎵 Note → Chord Chatbot
-    Type 3 or more note names and I'll guess the chord (triads, 7ths, 6ths, sus, and common add tones).
-    - Accepted formats: `C E G`, `Db, F, Ab, C`, `G-B-D-F`, etc.
-    - Sharps/flats: `#`, `b`, or unicode `♯` `♭`.
-    """)
-    chat = gr.ChatInterface(
-        fn=answer,
-        examples=[[e] for e in example_inputs()],
-        title="Chord Identifier",
-        retry_btn=None,
-        undo_btn="Delete last turn",
-        clear_btn="Clear",
-        textbox=gr.Textbox(placeholder="e.g., C E G or Db, F, Ab", label="Your notes"),
+from transformers import pipeline
+
+generator = pipeline("text-generation", model="distilgpt2")
+
+def chord_bot(prompt: str) -> str:
+    """
+    Generate a response using the local Hugging Face model.
+    This simulates a chord/music assistant, but could be extended with
+    domain-specific prompts or fine-tuned models.
+    """
+    response = generator(
+        prompt,
+        max_new_tokens=50,
+        do_sample=True,
+        temperature=0.7,
+        top_k=50,
+        top_p=0.95
     )
+    return response[0]["generated_text"]
+
+# Gradio UI
+iface = gr.Interface(
+    fn=chord_bot,
+    inputs=gr.Textbox(lines=2, placeholder="Type a chord progression or music-related question..."),
+    outputs="text",
+    title="🎶 Locally-Hosted Chord Bot",
+    description="This version of Chord Bot runs a local Hugging Face Transformers pipeline inside the Space container."
+)
 
 if __name__ == "__main__":
-    demo.launch()
+    iface.launch()

requirements.txt

@@ -1 +1,3 @@
-gradio>=4.44.0
+gradio
+transformers
+torch