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Update app.py
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app.py
CHANGED
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@@ -8,7 +8,6 @@ DESC = "Point load @ midspan or uniform load (UDL). SI units. Euler–Bernoulli.
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# ---------------- Deterministic backend ----------------
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def _compute(load_type, L_m, E_GPa, Ix_m4, mode, Sx_m3, depth_m, P_kN, w_kNpm, sigma_allow_MPa, defl_ratio):
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# validate
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if L_m <= 0: raise ValueError("Span L must be > 0.")
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if E_GPa <= 0: raise ValueError("E must be > 0.")
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if Ix_m4 <= 0: raise ValueError("Ix must be > 0.")
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@@ -16,34 +15,30 @@ def _compute(load_type, L_m, E_GPa, Ix_m4, mode, Sx_m3, depth_m, P_kN, w_kNpm, s
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if has_Sx and Sx_m3 <= 0: raise ValueError("Sx must be > 0.")
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if (not has_Sx) and depth_m <= 0: raise ValueError("Depth must be > 0 when Sx not provided.")
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if load_type == "Point @ midspan" and P_kN <= 0: raise ValueError("P must be > 0 for point load.")
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if load_type == "Uniform (UDL)"
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-
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-
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-
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w = w_kNpm * 1e3 # N/m
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# section modulus
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if has_Sx:
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Sx = Sx_m3
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c
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h
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else:
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h
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c
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Sx = Ix_m4 / c
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# closed-form results
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if load_type == "Point @ midspan":
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Mmax = P * L_m / 4.0
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dmax = P * (L_m**3) / (48.0 * E * Ix_m4)
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else:
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Mmax = w * (L_m**2) / 8.0
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dmax = 5.0 * w * (L_m**4) / (384.0 * E * Ix_m4)
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sigma = Mmax / Sx
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# checks
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stress_ok, SF = None, None
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if sigma_allow_MPa and sigma_allow_MPa > 0:
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sigma_MPa = sigma / 1e6
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@@ -54,7 +49,35 @@ def _compute(load_type, L_m, E_GPa, Ix_m4, mode, Sx_m3, depth_m, P_kN, w_kNpm, s
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defl_lim = (L_m * 1e3) / defl_ratio
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defl_ok = (dmax * 1e3) <= defl_lim
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#
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return {
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"inputs": {
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"load_type": load_type,
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@@ -73,50 +96,55 @@ def _compute(load_type, L_m, E_GPa, Ix_m4, mode, Sx_m3, depth_m, P_kN, w_kNpm, s
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},
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"checks": {
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"stress_ok": stress_ok, "SF_stress": SF,
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"deflection_ok": defl_ok, "deflection_limit_mm": defl_lim,
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},
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}
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# ---------------- Gradio UI
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with gradio.Blocks() as demo:
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gradio.Markdown(f"# {TITLE}")
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gradio.Markdown(DESC)
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with gradio.Row():
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load_type = gradio.Radio(choices=["Point @ midspan", "Uniform (UDL)"], value="Point @ midspan", label="Load case")
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L_m
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E_GPa = gradio.Number(value=200.0, label="Young's modulus E [GPa]", precision=3)
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Ix_m4 = gradio.Number(value=8.0e-6, label="Second moment Ix [m^4]", precision=10)
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with gradio.Row():
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mode = gradio.Radio(choices=["I have Sx", "I have depth (h) only"], value="I have Sx", label="Section input")
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Sx_m3
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depth_m = gradio.Number(value=0.30,
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def _toggle(v):
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return gradio.update(visible=(v=="I have Sx")), gradio.update(visible=(v!="I have Sx"))
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mode.change(_toggle, inputs=mode, outputs=[Sx_m3, depth_m])
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with gradio.Row():
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P_kN
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w_kNpm = gradio.Number(value=5.0,
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with gradio.Row():
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sigma_allow = gradio.Number(value=250.0, label="Allowable stress [MPa] (0=skip)", precision=3)
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defl_ratio
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# Live updates on any input (like your example)
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inputs = [load_type, L_m, E_GPa, Ix_m4, mode, Sx_m3, depth_m, P_kN, w_kNpm, sigma_allow, defl_ratio]
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for comp in inputs:
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comp.change(fn=_compute, inputs=inputs, outputs=out)
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gradio.Examples(
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examples=[
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["Point @ midspan", 3.0, 200.0, 8.0e-6, "I have Sx", 4.0e-4, 0.30, 20.0, 0.0, 250.0, 360],
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["Uniform (UDL)",
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["Uniform (UDL)",
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],
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inputs=inputs,
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label="Examples",
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# ---------------- Deterministic backend ----------------
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def _compute(load_type, L_m, E_GPa, Ix_m4, mode, Sx_m3, depth_m, P_kN, w_kNpm, sigma_allow_MPa, defl_ratio):
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if L_m <= 0: raise ValueError("Span L must be > 0.")
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if E_GPa <= 0: raise ValueError("E must be > 0.")
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if Ix_m4 <= 0: raise ValueError("Ix must be > 0.")
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if has_Sx and Sx_m3 <= 0: raise ValueError("Sx must be > 0.")
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if (not has_Sx) and depth_m <= 0: raise ValueError("Depth must be > 0 when Sx not provided.")
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if load_type == "Point @ midspan" and P_kN <= 0: raise ValueError("P must be > 0 for point load.")
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if load_type == "Uniform (UDL)" and w_kNpm <= 0: raise ValueError("w must be > 0 for UDL.")
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E = E_GPa * 1e9
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P = P_kN * 1e3
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w = w_kNpm * 1e3
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if has_Sx:
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Sx = Sx_m3
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c = Ix_m4 / Sx
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h = 2 * c
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else:
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h = depth_m
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c = h / 2
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Sx = Ix_m4 / c
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if load_type == "Point @ midspan":
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Mmax = P * L_m / 4.0
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dmax = P * (L_m**3) / (48.0 * E * Ix_m4)
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else:
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Mmax = w * (L_m**2) / 8.0
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dmax = 5.0 * w * (L_m**4) / (384.0 * E * Ix_m4)
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sigma = Mmax / Sx
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stress_ok, SF = None, None
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if sigma_allow_MPa and sigma_allow_MPa > 0:
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sigma_MPa = sigma / 1e6
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defl_lim = (L_m * 1e3) / defl_ratio
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defl_ok = (dmax * 1e3) <= defl_lim
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# Build explanation
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text = []
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text.append(f"### 🔍 Contextual Explanation")
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text.append(f"**Beam Type:** Simply supported ({load_type.lower()}) with span **L = {L_m:.2f} m**.")
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text.append(f"**Material:** E = {E_GPa:.1f} GPa, **Section:** Ix = {Ix_m4:.2e} m⁴, Sx = {Sx:.2e} m³, depth = {h:.3f} m.")
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text.append(f"\n#### Results Overview")
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text.append(f"- Maximum bending moment **Mmax = {Mmax/1e3:.2f} kN·m**.")
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text.append(f"- Maximum deflection **δmax = {dmax*1e3:.3f} mm**, ratio **δ/L = {dmax/L_m:.5f}**.")
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text.append(f"- Bending stress **σmax = {sigma/1e6:.2f} MPa**.")
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if sigma_allow_MPa > 0:
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if stress_ok:
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text.append(f"✅ The beam’s stress **({sigma/1e6:.2f} MPa)** is below the allowable limit **({sigma_allow_MPa:.2f} MPa)**.")
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else:
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text.append(f"⚠️ The stress **({sigma/1e6:.2f} MPa)** exceeds the allowable limit **({sigma_allow_MPa:.2f} MPa)**.")
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if defl_ratio > 0:
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if defl_ok:
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text.append(f"✅ Deflection **({dmax*1e3:.3f} mm)** is within the limit (L/{defl_ratio:.0f} = {defl_lim:.2f} mm).")
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else:
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text.append(f"⚠️ Deflection **({dmax*1e3:.3f} mm)** exceeds the limit (L/{defl_ratio:.0f} = {defl_lim:.2f} mm).")
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text.append("\n#### Engineering Meaning")
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text.append("The bending moment represents how much internal torque the beam experiences due to the applied load. "
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"The deflection quantifies how much the beam bends under that load. "
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"A safe design keeps both the stress and deflection below their respective limits to avoid failure or excessive sagging.")
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context_text = "\n".join(text)
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return {
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"inputs": {
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"load_type": load_type,
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},
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"checks": {
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"stress_ok": stress_ok, "SF_stress": SF,
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"deflection_ok": defl_ok, "deflection_limit_mm": defl_lim,
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"deflection_ratio": defl_ratio or None,
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},
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"context": context_text
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}
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# ---------------- Gradio UI ----------------
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with gradio.Blocks() as demo:
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gradio.Markdown(f"# {TITLE}")
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gradio.Markdown(DESC)
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with gradio.Row():
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load_type = gradio.Radio(choices=["Point @ midspan", "Uniform (UDL)"], value="Point @ midspan", label="Load case")
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L_m = gradio.Number(value=3.0, label="Span L [m]", precision=4)
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E_GPa = gradio.Number(value=200.0, label="Young's modulus E [GPa]", precision=3)
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Ix_m4 = gradio.Number(value=8.0e-6, label="Second moment Ix [m^4]", precision=10)
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with gradio.Row():
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mode = gradio.Radio(choices=["I have Sx", "I have depth (h) only"], value="I have Sx", label="Section input")
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Sx_m3 = gradio.Number(value=4.0e-4, label="Section modulus Sx [m^3]", precision=8, visible=True)
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depth_m = gradio.Number(value=0.30, label="Depth h [m]", precision=4, visible=False)
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def _toggle(v):
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return gradio.update(visible=(v=="I have Sx")), gradio.update(visible=(v!="I have Sx"))
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mode.change(_toggle, inputs=mode, outputs=[Sx_m3, depth_m])
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with gradio.Row():
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P_kN = gradio.Number(value=20.0, label="Point load P [kN]", precision=3)
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w_kNpm = gradio.Number(value=5.0, label="UDL w [kN/m]", precision=4)
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with gradio.Row():
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sigma_allow = gradio.Number(value=250.0, label="Allowable stress [MPa] (0=skip)", precision=3)
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defl_ratio = gradio.Number(value=360, label="Deflection limit L/ratio (0=skip)", precision=0)
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with gradio.Tab("Numerical Results"):
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out = gradio.JSON(label="Results")
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with gradio.Tab("Understanding the Results"):
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context_out = gradio.Markdown()
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inputs = [load_type, L_m, E_GPa, Ix_m4, mode, Sx_m3, depth_m, P_kN, w_kNpm, sigma_allow, defl_ratio]
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for comp in inputs:
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comp.change(fn=_compute, inputs=inputs, outputs=[out, context_out])
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gradio.Examples(
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examples=[
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["Point @ midspan", 3.0, 200.0, 8.0e-6, "I have Sx", 4.0e-4, 0.30, 20.0, 0.0, 250.0, 360],
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["Uniform (UDL)", 4.5, 200.0, 1.2e-5, "I have Sx", 6.0e-4, 0.35, 0.0, 8.0, 200.0, 360],
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["Uniform (UDL)", 2.5, 70.0, 3.5e-6, "I have depth (h) only", 0.0, 0.22, 0.0, 6.0, 160.0, 240],
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],
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inputs=inputs,
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label="Examples",
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