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Update app.py
Browse files
app.py
CHANGED
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@@ -79,13 +79,115 @@ tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
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pipe = pipeline("text-generation", model=MODEL_ID, tokenizer=tokenizer)
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def llm_explain(record: dict) -> str:
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def compute_and_explain(P1,P2,V1,V2,z1,z2,rho,mu,D,L,roughness,use_darcy,mode):
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record = bernoulli_pipe_flow(P1,P2,V1,V2,z1,z2,rho,mu,roughness,D,L,None,use_darcy)
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pipe = pipeline("text-generation", model=MODEL_ID, tokenizer=tokenizer)
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def llm_explain(record: dict) -> str:
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"""
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Grounded interpretation of the numeric results in `record`.
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- No added facts beyond the numeric values present in `record`.
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- No long tangents — only short, actionable interpretation.
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"""
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if not isinstance(record, dict):
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return "No numeric record provided."
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if not record.get("ok", True):
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return "Errors: " + "; ".join(record.get("errors", ["unknown error"]))
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inter = record.get("intermediate", {}) or {}
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comp = record.get("computed", {}) or {}
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# helper: search for first available key in a dict
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def find_first(d, keys):
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for k in keys:
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if k in d and d[k] is not None:
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return d[k]
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return None
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# Pump head: try several likely keys
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pump_head = find_first(comp, ["pump_head_required_m", "pump_head", "pump_head_m", "pump_head_required"])
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# Head loss (Darcy-Weisbach)
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h_f = find_first(inter, ["head_loss_hf_m", "head_loss", "head_loss_m", "head_loss_hf"])
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# friction factor
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f = find_first(inter, ["friction_factor_f", "friction_factor", "f"])
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# Reynolds numbers
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Re1 = find_first(inter, ["Re1", "re1"])
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Re2 = find_first(inter, ["Re2", "re2"])
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# convert to floats where possible
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def as_float(x):
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try:
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return float(x)
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except Exception:
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return None
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pump_head = as_float(pump_head)
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h_f = as_float(h_f)
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f = as_float(f)
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Re1 = as_float(Re1)
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Re2 = as_float(Re2)
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# compute average Re and regime if possible
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Re_avg = None
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if (Re1 is not None) and (Re2 is not None):
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Re_avg = (Re1 + Re2) / 2.0
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if Re_avg is not None:
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regime = "laminar" if Re_avg < 2300 else "turbulent"
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else:
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regime = "unknown"
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parts = []
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# 1) Short numeric summary (always the first sentence if any data exists)
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summary_items = []
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if pump_head is not None:
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summary_items.append(f"pump head = {pump_head:.3f} m")
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if h_f is not None:
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summary_items.append(f"head loss = {h_f:.3f} m")
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if f is not None:
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summary_items.append(f"friction factor f = {f:.4f}")
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if (Re1 is not None) and (Re2 is not None):
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summary_items.append(f"Re1 = {int(Re1)}, Re2 = {int(Re2)} ({regime})")
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if summary_items:
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parts.append(". ".join(summary_items) + ".")
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# 2) Direct interpretation comparing pump head and head loss
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if (pump_head is not None) and (h_f is not None):
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# tolerance: treat values within 1e-2 m or 1% as "approximately equal"
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tol = max(1e-2, 0.01 * max(abs(pump_head), abs(h_f), 1.0))
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diff = pump_head - h_f
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if abs(diff) <= tol:
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parts.append(
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"Interpretation: pump head and frictional head loss are approximately equal, "
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"so the system is near equilibrium (no net head gain)."
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)
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elif diff > 0:
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parts.append(
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f"Interpretation: pump head exceeds head loss by {diff:.3f} m — the pump can overcome frictional losses and provide net head to the system."
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)
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else:
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parts.append(
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f"Interpretation: pump head is lower than head loss by {abs(diff):.3f} m — the pump cannot fully overcome the frictional losses under these conditions."
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)
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else:
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parts.append("Interpretation: insufficient data to directly compare pump head and head loss.")
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# 3) Flow regime and friction factor context (concise and factual)
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if regime != "unknown":
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parts.append(f"Flow regime: {regime}.")
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if f is not None:
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parts.append("Friction factor was estimated (value shown above).")
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# 4) Short, practical note (no speculation)
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parts.append(
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"Notes: the friction factor in this calculation is estimated numerically (Haaland approximation for turbulent flow); "
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"these results are for preliminary assessment and assume steady, incompressible flow."
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)
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# Final safe fallback
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explanation = " ".join(parts).strip()
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if not explanation:
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explanation = "No explanation could be generated from the provided record."
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return explanation
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def compute_and_explain(P1,P2,V1,V2,z1,z2,rho,mu,D,L,roughness,use_darcy,mode):
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record = bernoulli_pipe_flow(P1,P2,V1,V2,z1,z2,rho,mu,roughness,D,L,None,use_darcy)
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